{ "@context": "https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld", "@id": "https://portal.opentopography.org/csw/catalog.json", "@type": "dcat:Catalog", "conformsTo": "https://project-open-data.cio.gov/v1.1/schema", "describedBy": "https://project-open-data.cio.gov/v1.1/schema/catalog.json", "dataset": [ { "@type": "dcat:Dataset", "title": "New Zealand Lidar 1 Meter DSM", "description": "OpenTopography now offers access to New Zealand's national 1 meter resolution lidar-derived Digital Terrain Model (DTM) and Digital Surface Model (DSM), produced by Toit\u016b Te Whenua - Land Information New Zealand (LINZ). These high-resolution elevation products are derived from an extensive collection of airborne lidar surveys and provide seamless coverage across the country. With exceptional detail and accuracy, the datasets are well-suited for a variety of applications, including hydrology, hazard assessment, forestry, urban planning, and much more. As new surveys are completed, updated elevation data will be regularly added through the LINZ Data Service and LINZ basemaps. Where multiple lidar surveys have been undertaken in a single location, recent data is prioritized and older data is not included.", "identifier": "OT.082025.2193.1", "modified": "2025-08-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "DEM", "DSM", "DTM", "mosaic", "topography", "hydrology", "geomorphology" ], "spatial": "167.21,-46.92,178.58,-34.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZK5DW0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Medium Resolution Digital Elevation Model of Canada", "description": "The Medium Resolution Digital Elevation Model (MRDEM) product is a multi-source product that integrates elevation data from the Copernicus DEM acquired during the TanDEM-X Mission, and the High Resolution Digital Elevation Model data derived from airborne lidar. This product provides a complete, 30 meters resolution, nationwide coverage for Canada. It includes a Digital Terrain Model (DTM), a Digital Surface Model (DSM) and other derived products. The spatial coverage extends into the USA, where needed, to provide coverage for cross-border watersheds in support of hydrological studies and applications. The MRDEM DSM dataset is based on the GLO-30 version of the Copernicus DEM. The process to generate the MRDEM DTM dataset is more complex and involves different sources. Where available, the HRDEM Mosaic derived from lidar was used since it already provides reliable terrain elevation values. The HRDEM Mosaic data used was resampled from 1 meter to 30 meters. Elsewhere, the processing workflow combines a forest removal model and a settlement removal model that is applied to the GLO-30 values in order to estimate the terrain elevation values.", "identifier": "OT.032025.3979.1", "modified": "2025-03-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canada", "lidar", "DEM", "TanDEM-X", "Copernicus", "HRDEM" ], "spatial": "-145.9,40.35,-52.5,83.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N8780J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USGS 1 arc-second Digital Elevation Model", "description": "This is a 1 arc-second (approximately 30 m) resolution tiled collection of the 3D Elevation Program (3DEP) seamless data products . 3DEP data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. 3DEP data compose an elevation dataset that consists of seamless layers and a high resolution layer. Each of these layers consists of the best available raster elevation data of the conterminous United States, Alaska, Hawaii, territorial islands, Mexico and Canada. 3DEP data are updated continually as new data become available. Seamless 3DEP data are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the conterminous United States, are referenced to the North American Vertical Datum of 1988 (NAVD 88). The vertical reference will vary in other areas. The elevations in these DEMs represent the topographic bare-earth surface. All 3DEP products are public domain. This dataset includes data over Canada and Mexico as part of an international, interagency collaboration with the Mexico's National Institute of Statistics and Geography (INEGI) and the Natural Resources Canada (NRCAN) Centre for Topographic Information-Sherbrook, Ottawa. For more details on the data provenance of this dataset, visit here and here. Click here for a broad overview of this dataset", "identifier": "OT.012021.4269.2", "modified": "2021-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "USGS", "NED", "3DEP", "lidar", "DEM", "bare-earth", "topography", "elevation" ], "spatial": "-174.0,-15.0,164.0,84.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HX19WN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey of Volcan Mountain Wilderness Preserve, CA 2024", "description": "This dataset was collected to provide high-density, contemporary ground-truth data on 3D vegetation structure in the fire-prone montane ecosystems of Southern California. It served as a benchmark for developing and validating deep learning models designed to enhance sparse, historical airborne light detection and ranging (lidar) data by fusing it with multi-temporal optical National Agriculture Imaging Program (NAIP) and L-band synthetic aperture radar (UAVSAR) imagery for applications in ecological modeling and land management.", "identifier": "OT.042026.32611.1", "modified": "2026-04-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "UAV Lidar", "point cloud", "Vegetation structure", "Forest inventory", "Canopy structure", "Peninsular Range", "Southern California", "Wildfire fuel mapping", "Montane ecosystem", "Oak woodland", "chaparral" ], "spatial": "-116.61,33.12,-116.59,33.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99P2ZV5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Riverside County Flood Control Apple Fire Lidar, CA 2020", "description": "The Apple Fire Lidar mapping project was performed by the Photogrammetry section of Riverside County Flood Control to map terrain influenced by the Apple Fire (July 31, 2020). The purpose of the project was to predict mudflows and plan efforts to mitigate damage to property downstream. This was the first of three flights. The three flights had different limits. The lidar is QL2 and bare-Earth. The date of acquisition was September 2, 2020. This data was created for urgent disaster response, and Riverside County Flood Control does not guarantee the accuracy or completeness of the product. Users accept sole responsibility for verifying the accuracy of the data.", "identifier": "OT.032026.2230.3", "modified": "2026-03-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Apple Fire", "Lidar", "Banning", "Beaumont", "California", "disaster response" ], "spatial": "-117.0,33.93,-116.76,34.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K64G9M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Riverside County Flood Control Apple Fire Lidar, CA 2021", "description": "The Apple Fire Lidar mapping project was performed by the Photogrammetry section of Riverside County Flood Control to map terrain influenced by the Apple Fire (July 31, 2020). The purpose of the project was to predict mudflows and plan efforts to mitigate damage to property downstream. This was the second of three flights. The three flights had different limits. The lidar is QL2 and bare-Earth. The date of acquisition was April 19, 2021. This data was created for urgent disaster response, and Riverside County Flood Control does not guarantee the accuracy or completeness of the product. Users accept sole responsibility for verifying the accuracy of the data.", "identifier": "OT.032026.2230.2", "modified": "2026-03-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Apple Fire", "Lidar", "Banning", "Beaumont", "California", "disaster response" ], "spatial": "-117.0,33.94,-116.9,34.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PZ572G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Riverside County Flood Control Apple Fire Lidar, CA 2022", "description": "The Apple Fire Lidar mapping project was performed by the Photogrammetry section of Riverside County Flood Control to map terrain influenced by the Apple Fire (July 31, 2020). The purpose of the project was to predict mudflows and plan efforts to mitigate damage to property downstream. This was the third of three flights. The three flights had different limits. The Lidar is QL2 and bare-Earth. The date of acquisition was September 15, 2022. This data was created for urgent disaster response, and Riverside County Flood Control does not guarantee the accuracy or completeness of the product. Users accept sole responsibility for verifying the accuracy of the data.", "identifier": "OT.032026.2230.1", "modified": "2026-03-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Apple Fire", "Lidar", "Banning", "Beaumont", "California", "disaster response" ], "spatial": "-116.94,33.93,-116.82,34.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TQ5ZSD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Post-Bobcat Fire lidar of Sawpit Wash, California, 2020", "description": "This airborne lidar dataset was collected by NCALM for Roman DiBiase at Pennsylvania State University. The data were collected immediately following the 2020 Bobcat Fire, prior to the first rainfall event, to quantify post-fire dry ravel accumulations in headwater valleys. The study area includes the region of Monrovia Canyon and Sawpit Wash in the San Gabriel Mountains, just north of Monrovia, California, and covers approximately 23 km2.", "identifier": "OT.032026.6340.1", "modified": "2026-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Bobcat Fire", "San Gabriel Mountains", "dry ravel", "NCALM" ], "spatial": "-118.02,34.16,-117.93,34.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZG6QGP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Caspar Creek, CA 2003", "description": "This lidar dataset is a ground-only test dataset that was collected over Caspar Creek, California in 2003. It is provided by the National Center for Airborne Laser Mapping (NCALM). Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.052025.26910.1", "modified": "2025-05-29", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Caspar", "lidar", "ground", "bare earth", "California", "NCALM" ], "spatial": "-123.77,39.31,-123.69,39.41", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94B2ZJ4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping Coastal Dune Erosion, CA 2025", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Shannon Sondeno at the California State University, Monterey Bay. This lidar dataset was collected to help assess coastal dune erosion before and after the closure of sand mining operations in southern Monterey Bay, California. Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022026.6339.1", "modified": "2026-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "geomorphology", "erosion", "hydrology", "NCALM" ], "spatial": "-121.9,36.59,-121.78,36.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96W989H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping Rock Glaciers in the San Juan Mountains, CO 2025", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Juliana Ruef at the University of Colorado, Boulder. This dataset was collected to help monitor rock glacier motion and dynamics in the San Juan Mountains in Colorado. Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022026.6342.1", "modified": "2026-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "glacier", "lidar", "geomorphology", "glaciology", "San Juan", "NCALM" ], "spatial": "-107.79,37.89,-107.66,37.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9348HMJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Monitoring Tree Water Stress, CA 2025", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Jean Allen at the University of California, Santa Barbara. This lidar collection was used to quantify Leaf Area Index, and combined with hyperspectral data, quantify the ongoing changes in canopy architecture and oak mortality that has occurred at the Dangermond and Sedgwick Reserves since 2018. Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022026.32610.1", "modified": "2026-02-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "ecology", "Dangermond", "Sedgwick", "hydrology", "NCALM" ], "spatial": "-120.49,34.44,-120.0,34.75", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BP011S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lithologic Controls on Slot Canyon Formation, AZ 2025", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Brandon Fong at Pennsylvania State University and Michael Robinson at the University of Nevada, Reno. This dataset was acquired to help characterize slot canyon formation and morphology over large spatial scales. Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022026.6341.1", "modified": "2026-02-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "slot canyon", "hydrology", "lidar", "geomorphology", "NCALM" ], "spatial": "-110.75,34.89,-110.64,34.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GF0RRQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quantifying Sediment Mobilization by Wildfire, CA 2025", "description": "This lidar dataset was collected by NCALM as part of the NCALM NOW project for Michael Lamb at the California Institute of Technology. Collection of this dataset will help quantify dry-ravel sediment mobilization from the Eaton Fire in Los Angeles, CA for improved debris-flow predictions.", "identifier": "OT.122025.6340.1", "modified": "2025-12-12", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "airborne", "fire", "debris", "hydrology", "geomorphology", "sediment", "NCALM" ], "spatial": "-118.21,34.15,-118.0,34.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RX9997", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Manawatu-Whanganui - Whanganui River Catchment, New Zealand 2025", "description": "Lidar was captured for Ng\u0101 T\u0101ngata Tiaki o Whanganui by Landpro Ltd from 8th February 2025 to 30th June 2025. These datasets were generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.092025.2193.1", "modified": "2025-09-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "manawatū", "whanganui", "north island", "new zealand", "linz" ], "spatial": "174.76,-40.05,175.7,-38.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q23XGQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Auckland Part 2, New Zealand 2024", "description": "LiDAR was captured for Auckland Council by Woolpert between 26th of June and 4th of November 2024. The dataset was generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.062025.2193.2", "modified": "2025-06-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Auckland", "New Zealand", "Kaipara", "Rodney", "Waiheke Island", "Motutapu Island", "Great Barrier Island (Aotea Island)", "Warkworth", "Wellsford" ], "spatial": "174.16,-37.29,175.56,-36.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M906V9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mount Ruapehu Summit Region and Rangataua Flows, New Zealand 2021", "description": "Lava flows carry a destructive power, and studies on past eruptions are necessary for improved hazard assessments. As part of a PhD project focused on improving our knowledge of the frequency and magnitude of postglacial lava flow eruptions, the Resilience to Nature\u0092s Challenges program, in a collaboration with the University of Canterbury and GNS Science, funded the acquisition of this high-resolution airborne lidar dataset, which was collected by the Waterways Centre for Freshwater Management (University of Canterbury). This dataset has been collected in order to produce DSMs covering the summit region of Mount Ruapehu (Aotearoa New Zealand), as well as a large lava flow towards the south of the volcano, which is densely vegetated. These DSMs allowed the identification of distinct lava flows, many of which were dated using cosmogenic 3He and paleomagnetism, and the estimation of lava flow volumes, leading to an improved understanding of the eruption rate variation at Ruapehu during the last 20,000 years. The data were collected in two separate surveys; an initial survey on the 14th of May 2021 that covered most of the region but missed a significant area on the eastern flanks of Ruapehu Maunga. A second survey, on the 2nd of November 2021 attempted to infill areas missed by the original survey. The data is not classified and includes a significant amount of noise. It is provided as-is, with no additional processing or validation.", "identifier": "OT.062025.2193.1", "modified": "2025-06-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Volcano", "lava flow", "lava flows", "New Zealand", "Ruapehu" ], "spatial": "175.51,-39.45,175.62,-39.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VT1Q92", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Auckland Part 1, New Zealand 2024", "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 30th of April and 27th of June 2024. The project was funded by Ministry for the Environment (MFE) in response to the effects of the Auckland anniversary day flooding. This dataset is being refined by Auckland Council. Once improvements to this dataset have been completed the dataset will be updated. The datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.042025.2193.1", "modified": "2025-04-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Auckland", "New Zealand", "Manukau", "Papakura", "Pukekohe" ], "spatial": "174.38,-37.3,175.01,-36.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HH6H8T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Waikato, New Zealand 2024", "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Landpro Ltd between 21 January 2024 and 17 May 2024. These datasets were generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.022025.2193.1", "modified": "2025-02-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Thames-Coromandel", "Hauraki", "Matamata-Piako", "Waikato" ], "spatial": "174.7,-37.84,175.95,-36.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91J980G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Preliminary Digital Elevation Models for Palisades Fire, CA 2025", "description": "Following the devastating Los Angeles, California wildfires in January 2025, AlertCalifornia sponsored NV5 to acquire high-resolution airborne lidar data for the Palisades and Eaton impact areas. Through its partnership with University of California San Diego (UCSD), NV5 donated the interim data via the USGS to make them publicly available for use by the emergency response community and others. This dataset contains preliminary digital elevation model data for response and recovery as part of the Palisades wildfire in California. Lidar was collected and used to create a 0.5 meter raster DTM and DSM. DEMs have not been manually reviewed and should be considered preliminary. The response and recovery for the Palisades wildfire in California called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.25 meters. This data is provisional and was created for the immediate disaster response for the Palisades wildfire. NV5 Inc, UCSD, and USGS make no guarantee or warrantee as to the data's completeness and accuracy, and as a result, anyone using this data is doing so at their sole risk. Lidar was collected in winter 2025, while no snow was on the ground and rivers were at or below normal levels. For more information on this dataset see the NV5 press release", "identifier": "OT.012025.6340.2", "modified": "2025-02-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Palisades Fire", "California", "lidar", "DEM", "disaster response" ], "spatial": "-118.71,34.01,-118.43,34.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DR2SPG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Preliminary Digital Elevation Models for Eaton Fire, CA 2025", "description": "Following the devastating Los Angeles, California wildfires in January 2025, AlertCalifornia sponsored NV5 to acquire high-resolution airborne lidar data for the Palisades and Eaton impact areas. Through its partnership with University of California San Diego (UCSD), NV5 donated the interim data via the USGS to make them publicly available for use by the emergency response community and others. This dataset contains preliminary digital elevation model data for response and recovery as part of the Eaton wildfire in California. Lidar was collected and used to create a 0.5 meter raster DTM and DSM. DEMs have not been manually reviewed and should be considered preliminary. The response and recovery for the Eaton wildfire in California called for the planning, acquisition, processing, and derivative products of lidar data to be collected at a nominal pulse spacing (NPS) of 0.25 meters. This data is provisional and was created for the immediate disaster response for the Eaton wildfire. NV5 Inc, UCSD, and USGS make no guarantee or warrantee as to the data's completeness and accuracy, and as a result, anyone using this data is doing so at their sole risk. Lidar was collected in winter 2025, while no snow was on the ground and rivers were at or below normal levels. For more information on this dataset see the NV5 press release", "identifier": "OT.012025.6340.1", "modified": "2025-02-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Eaton Fire", "California", "lidar", "DEM", "disaster response" ], "spatial": "-118.19,34.15,-118.0,34.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JH3JD6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Manawatū - Whanganui, New Zealand 2024", "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert between 26 January 2024 and 4 May 2024. These datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.012025.2193.1", "modified": "2025-01-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "manawatū", "whanganui", "north island", "new zealand", "linz", "woolpert" ], "spatial": "175.48,-40.79,176.64,-39.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P8494X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northland, New Zealand 2024", "description": "LiDAR was captured for Regional Software Holdings Ltd by Landpro Ltd from 18 April to 28 June 2024. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.122024.2193.3", "modified": "2025-01-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "northland", "whangarei", "mangawhai", "daragaville", "north island", "new zealand", "linz", "landpro" ], "spatial": "173.73,-36.4,174.62,-35.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XS5SN5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hawke\u0092s Bay, New Zealand 2023 - 2024", "description": "LiDAR was captured for National Institute of Water and Atmospheric Research Limited (NIWA) by Woolpert between 20th of September 2023 to 27th April 2024. These datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.122024.2193.2", "modified": "2024-12-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "wairoa", "hasting", "napier", "hawke\u0092s bay", "north island", "new zealand", "linz", "woolpert" ], "spatial": "176.04,-40.44,178.01,-38.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q81B9R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping the Koyukuk River System, AK 2022", "description": "This lidar dataset was collected by NCALM for Michael Lamb at the California Institute of Technology. This dataset was collected to aid mapping of the Koyukuk River system in Huslia, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.122024.32604.1", "modified": "2024-12-06", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "hydrology", "Alaska", "Koyukuk", "NCALM" ], "spatial": "-156.67,65.64,-156.14,65.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V1231G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bay of Plenty, New Zealand 2024", "description": "LiDAR was captured for Regional Software Holdings Limited (RSHL) by Woolpert Ltd between 1 February 2024 and 30 April 2024. These datasets were generated by Woolpert and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.122024.2193.1", "modified": "2024-12-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tauranga", "mount maunganui", "papamoa", "bay of plenty", "north island", "new zealand", "linz", "woolpert" ], "spatial": "175.9,-38.07,177.31,-37.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZS2TQN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of John Henry Mine, WA 2023", "description": "The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the John Henry Mine (surface coal mine) in Washington. The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.", "identifier": "OT.112024.6339.2", "modified": "2024-11-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "imagery", "mining", "John Henry", "Washington", "topography" ], "spatial": "-122.01,47.31,-121.98,47.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93F4MVH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Centralia Mine, WA 2023", "description": "The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the Centralia Mine (surface coal mine) in Washington. The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.", "identifier": "OT.112024.6339.1", "modified": "2024-11-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "imagery", "mining", "Centralia", "Washington", "topography" ], "spatial": "-122.89,46.69,-122.75,46.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9765CJS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the McKinley Mine, NM 2023", "description": "The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the McKinley Mine (surface coal mine) in New Mexico. The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.", "identifier": "OT.112024.6341.2", "modified": "2024-11-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "imagery", "mining", "McKinley", "New Mexico", "topography" ], "spatial": "-109.04,35.58,-108.87,35.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BZ6486", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Kayenta Mine, AZ 2023", "description": "The U.S. DOI Office of Surface Mining Reclamation and Enforcement funded this aerial LiDAR and aerial imagery survey. The dataset covers the Kayenta Mine (surface coal mine) in Arizona. The intended use of the data is to support the corresponding mine teams on current and future projects. Example use cases include: precise area and volumetric measurements, assisting with upcoming TOJs (Termination of Jurisdictions) and bond releases, change detection analysis, monitoring the progression and reclamation of mining, and visualizing 3D models.", "identifier": "OT.112024.6341.1", "modified": "2024-11-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "imagery", "mining", "Kayenta", "Arizona", "topography" ], "spatial": "-110.45,36.39,-110.24,36.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GQ6W0J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topo-Bathymetric Data Set: Sacramento River, California 2023", "description": "The Yurok Tribe Fisheries Department Design and Technical Services Program was tasked by the United States Bureau of Reclamation Central Valley Project Improvement Act Habitat Restoration Program to conduct a system wide base-line data collection effort across 174 miles on the Sacramento River to develop habitat and decision support modeling. High resolution aerial imagery, topography, bathymetry, and water surface elevations were collected and are intended to support the development of a hydrodynamic model framework for predicting habitat across a range of flows. The model will support measures needed to restore anadromous fish to optimum and sustainable levels in accordance with the restored carrying capacities of Central Valley rivers, streams, and riparian habitats. The data will also be used to support planning, design, and analysis of current and future restoration projects on the Sacramento River. For direct download of ancillary vector products for this dataset click here", "identifier": "OT.102024.6339.1", "modified": "2024-10-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "bathymetry", "ecology", "geomorphology", "hydrology", "Sacramento" ], "spatial": "-122.38,39.0,-121.81,40.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MW2F86", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Lava Tubes, CA 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Edward Williams at the University of Maryland. This dataset was collected to help search for the topographic expression of lava tubes in a region where they are particularly abundant, the Lava Beds National Monument in California. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.102024.32610.1", "modified": "2024-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "lava", "volcanology", "speleology", "ecology", "archeology", "NCALM" ], "spatial": "-121.57,41.69,-121.46,41.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ST7N19", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey Along the Calico Fault, CA 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Dannielle Fougere at the University of Southern California. This dataset was collected to help understand the system-level behavior of the Pacific-North American plate boundary fault network in southern California. Data was collected over the section of the Calico fault to the Southeast of the Rodman Mountains Wilderness Area. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.092024.32611.1", "modified": "2024-09-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "seismology", "fault", "San Andreas", "Calico", "Garlock", "NCALM" ], "spatial": "-116.57,34.46,-116.31,34.71", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RR1W65", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Deltaic Wetlands, LA 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Donald Davidson at the University of New Orleans. This dataset was collected to help understand the vegetation-sediment-flow interplay in deltaic wetlands. Data was collected southeast of New Orleans, LA, over Quarantine Bay. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.092024.6345.1", "modified": "2024-09-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "New Orleans", "hydrology", "geomorphology", "delta", "NCALM" ], "spatial": "-89.55,29.35,-89.45,29.44", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PC30KP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "NASADEM Global Digital Elevation Model", "description": "NASADEM is a modernization of the Digital Elevation Model (DEM) and associated products generated from the Shuttle Radar Topography Mission (SRTM) data. Interferometric SAR data from SRTM were reprocessed with an optimized hybrid processing technique in producing the data products. The data rely on multiple radar images to create interferograms with 2-dimensional phase arrays that result in greater elevation accuracy. Because of inherent characteristics of interferometric data, it needs to be wrapped and unwrapped so the data are quantifiable. NASADEM relied on the latest unwrapping techniques and auxiliary data that were not available during the original processing of SRTM data. The optimized technique minimized data voids and extended spatial coverage of the SRTM. Additional voids were filled with a variety of sources including ASTER GDEM, Advanced Land Observing Satellite (ALOS) Panchromatic Remote sensing Instrument for Stereo Mapping (PRISM), USGS National Elevation Dataset (NED), and Canada and Alaska DEMs Global DEM Specifications. Vertical and tilt adjustments were applied based on ground control points and laser profiles from the Ice, Cloud and Land Elevation Satellite (ICESat) mission. This application improved the vertical accuracy, swath consistency, and uniformity within the swath mosaic. The NASADEM products are freely available through the Land Processes Distributed Active Archive Center (LP DAAC) at one arcsecond spacing. For more information about this dataset, visit the Land Processes Distributed Active Archive Center (LP DAAC)", "identifier": "OT.032021.4326.2", "modified": "2021-04-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "NASA", "SRTM", "ASTER", "ICESat", "GLAS", "DEM", "LP DAAC", "lidar" ], "spatial": "-179.0,-56.0,179.0,61.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93T9FD9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of a Partially Burned Mountain Watershed, CO 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Christian Roumelis at the Ohio State University. This dataset was collected to help understand the interactions between log jams, stream morphology, and groundwater in a partially burned mountain watershed. Data was collected over the Fort Collins/Loveland, Colorado area. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.092024.6342.1", "modified": "2024-09-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "hydrology", "geomorphology", "groundwater", "Colorado", "NCALM" ], "spatial": "-105.62,40.6,-105.52,40.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HD7SMZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Snake River, WY 2012 (532 nm/Aquarius)", "description": "This lidar survey was taken by NCALM over a portion of the Snake River watershed in Wyoming for Dr. Carl Legleiter at the University of Wyoming. Two lidar sensors were used during the data collection: the Optech Gemini Laser Terrain Mapper and the Optech Aquarius Airborne Laser Terrain Mapper. This landing page is providing access to the lidar point cloud data acquired from the Aquarius sensor, which is a hybrid system that collects land and shallow water bathymetry (wavelength of 532 nm) measurements simultaneously. Data was collected in August 2012 over an area just north of the Jackson Hole airport. To access the Gemini sensor data (1064 nm) click here Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.092024.26912.1", "modified": "2024-09-17", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "bathymetry", "hydrology", "Snake River", "Wyoming", "NCALM" ], "spatial": "-110.74,43.64,-110.49,43.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CC0XT2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Paoha Island, CA 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Zachary Smith at the University of California, Berkeley. This dataset was collected to help understand volcanic and climate controls on the growth and collapse of Paoha Island in Mono Lake, California. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.082024.6340.1", "modified": "2024-08-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Mono Lake", "Paoha Island", "California", "volcanic", "climate", "NCALM" ], "spatial": "-119.14,37.97,-119.01,38.06", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NG4NV7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping Landscape Evolution in the Ozarks, AR 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Chelsea Moran at the University of Arkansas. This dataset was collected to help understand the spatial and temporal distribution of large rock blocks and their control on landscape evolution in the Ozarks. The dataset was collected southwest of Harrison, Arkansas, over the Buffalo River. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.072024.6344.2", "modified": "2024-07-31", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Buffalo River", "topography", "geomorphology", "hydrology", "NCALM" ], "spatial": "-93.31,36.03,-93.21,36.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9959FSJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Characterizing Alluvial Channel Bank Erosion with Lidar, TX 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Mariel Nelson at the University of Texas at Austin. This dataset was collected to help characterize alluvial channel bank erosion with time-lapse airborne and UAV lidar. The dataset was collected northeast of Houston, TX, over the Trinity River. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.072024.6344.1", "modified": "2024-07-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Trinity", "topography", "geomorphology", "hydrology", "UAV", "NCALM" ], "spatial": "-94.84,30.06,-94.78,30.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DZ06JZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Measuring Hydrologic and Biogeochemical Processes in an Intermittent Stream, ID 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Michelle Sclafani at Idaho State University. This dataset was collected to evaluate the role of hillslope topography, channel morphology, and riparian vegetation density canopy cover in patterning of longitudinal stream wetting and biogeochemical processing in an intermittent stream. The dataset was collected over Johnston Draw, Idaho. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.052024.6340.1", "modified": "2024-06-17", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "topography", "canopy height", "vegetation", "geomorphology", "hydrology", "NCALM" ], "spatial": "-116.81,43.12,-116.77,43.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XW4H00", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Monitoring the Mass Balance of Eklutna Glacier, AK 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Caroline Brisbois at the Institute of Culture & Environment, Alaska Pacific University. This dataset was collected to compare airborne laser swath mapping versus structure from motion photogrammetry for monitoring the geodetic mass balance of the Eklutna Glacier. Lidar surveys were conducted over the Eklutna Glacier, east of Anchorage, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.042024.32606.2", "modified": "2024-05-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "glaciology", "mass balance", "Alaska", "Eklutna", "NCALM" ], "spatial": "-149.11,61.15,-148.74,61.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92N50G8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Detecting Changes in Hillslope Geomorphology Due to Thawing Permafrost, AK 2023", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Zena Robert at Montana State University. This dataset was collected to help detect changes in hillslope geomorphology due to thawing permafrost in the interior of Alaska. Lidar surveys were conducted north of Fairbanks, Alaska. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.042024.32606.1", "modified": "2024-04-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "geomorphology", "permafrost", "slope", "Alaska", "NCALM" ], "spatial": "-147.93,64.96,-147.71,65.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KK991N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hamilton, Waikato, New Zealand 2023", "description": "Lidar was captured for Hamilton City Council by Woolpert NZ Ltd on 10 November 2023. The dataset was generated by Woolpert NZ Ltd and their subcontractors. The survey area includes Hamilton City, Ng\u0101ruaw\u0101hia and the surrounding area. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.042024.2193.1", "modified": "2024-04-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Hamilton", "Waikato", "north island", "new zealand", "woolpert", "linz" ], "spatial": "175.13,-37.89,175.39,-37.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FX77NB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Gisborne, New Zealand 2023", "description": "LiDAR was captured for NIWA by Landpro from 11th September to 16th December 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.022024.2193.1", "modified": "2024-02-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Gisborne", "north island", "new zealand", "linz", "landpro", "mbie", "niwa" ], "spatial": "177.12,-38.98,178.58,-37.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MK6B34", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Banks Peninsula, Canterbury, New Zealand 2023", "description": "LiDAR was captured for Environment Canterbury Regional Council by Landpro Ltd from 18 February 2023 to 15 August 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.022024.2193.2", "modified": "2024-02-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canterbury", "south island", "new zealand", "linz", "landpro" ], "spatial": "172.36,-43.91,173.13,-43.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RB72TF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Selwyn, Canterbury, New Zealand 2023", "description": "LiDAR was captured for Environment Canterbury Regional Council and Selywn District Council by Landpro Ltd from 24 March 2023 to 04 May 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.012024.2193.3", "modified": "2024-02-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canterbury", "south island", "new zealand", "linz", "landpro" ], "spatial": "171.64,-43.91,172.63,-43.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W37TJS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Waimakariri, Canterbury, New Zealand 2023", "description": "LiDAR was captured for Environment Canterbury Regional Council and Waimakariri District Council by Aerial Surveys Ltd on 14 June 2023 and 17 July 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.012024.2193.2", "modified": "2024-01-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canterbury", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "172.04,-43.47,172.72,-43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90V8B15", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Abel Tasman and Golden Bay, Tasman, New Zealand 2023", "description": "LiDAR was captured for the Tasman District Council by Aerial Surveys Ltd from 7 August to 17 August 2023. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.012024.2193.1", "modified": "2024-01-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Abel tasman", "takaka", "collingwood", "tasman", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "172.44,-41.11,173.08,-40.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92SX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey to Evaluate Spatial Heterogeneity and Channel Evolution, MT 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Anna Marshall at Colorado State University. This dataset was collected to help understand sources and functions of spatial heterogeneity in determining channel evolution of large mountain rivers. Lidar surveys were conducted over the Swan and Middle Fork Flathead rivers in Montana. Publications associated with this dataset can be found at NCALM's Data Tracking Center.", "identifier": "OT.112023.6341.1", "modified": "2023-11-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "geomorphology", "hydrology", "flood plains", "riparian", "topography", "lidar", "NCALM" ], "spatial": "-113.88,47.73,-113.82,47.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HT2MHS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Manawatu - Whanganui, New Zealand 2022-2023", "description": "LiDAR was captured for Horzions Regional Council by Landpro Ltd from 02 July 2022 to 1 November 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.112023.2193.3", "modified": "2023-11-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "whanganui", "manawatu", "north island", "horizons", "new zealand", "linz", "landpro" ], "spatial": "175.09,-40.59,176.1,-40.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SB43ZT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Lions Den Gorge Bluff, Wisconsin, May 2023", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.102025.32616.4", "modified": "2025-10-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.89,43.34,-87.88,43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9639MZ7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Central Otago, Otago, New Zealand 2022-2023", "description": "LiDAR was captured for the Otago Regional Council by AAM Ltd from 22 June 2022 to 9 January 2023. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.112023.2193.2", "modified": "2023-11-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Central otago", "alexandra", "clyde", "lake roxburgh", "clutha", "otago", "south island", "new zealand", "linz", "aam" ], "spatial": "169.08,-45.53,170.1,-44.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X34VP5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Central Otago, Otago, New Zealand 2021", "description": "LiDAR was captured for the Ministry of Business, Innovation and Employment by Landpro from 22nd to 27th May 2021. The dataset was generated by Landpro and their subcontractors. The survey area includes Roxburgh, Mt Teviot, and the surrounding area of Lake Onslow. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.112023.2193.1", "modified": "2023-11-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake onslow", "otago", "south island", "new Zealand", "linz", "landpro" ], "spatial": "169.29,-45.76,169.7,-45.36", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91V5C60", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Satellite derived point clouds of the Kura thrust belt, Shamakhi, Azerbaijan, 2021", "description": "This dataset was collected to aid understanding of paleoearthquakes in the thrust belt and tectonic geomorphology. It uses Pleiades bi-stereo optical satellite imagery that was collected on June 14 2021 to generate a point cloud along the Kura thrust belt near Shamakhi, Azerbaijan.", "identifier": "OT.092023.32639.1", "modified": "2023-09-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "paleoearthquakes", "tectonics", "satellite", "optical", "Azerbaijan" ], "spatial": "47.65,40.37,48.82,40.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RJ4GPJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Porirua, Wellington, New Zealand 2023", "description": "LiDAR was captured for Porirua City Council by Landpro Ltd from 18 January 2023 to 16 April 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.082023.2193.1", "modified": "2023-08-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Porirua", "wellington", "north island", "new zealand", "linz", "landpro", "lidar" ], "spatial": "174.77,-41.17,175.0,-41.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94Q7S68", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "California ARRA Lidar", "description": "This dataset is intended for researchers interested in active tectonics and earthquake hazards research in the Central Coast region of California, and the areas north and east of San Francisco Bay. The target areas were developed and defined by USGS scientists in collaboration with colleagues working in these regions. The target areas in the Central Coast region are: the Big Sur area and the Oceanic and San Simeon Faults. The target areas in northern California are: the Bartlett Springs and Berryessa Faults, the Greenville Fault, and the Rodgers Creek Fault - Maacama Fault stepover area. The data collection and processing were purchased by the U.S. Geological Survey using funds provided via the American Recovery and Reinvestment Act of 2009 (ARRA).", "identifier": "OT.022014.32610.1", "modified": "2014-03-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Big Sur", "Central Coast", "Oceanic Fault", "Bartlett Springs Fault", "Greenville Fault", "Rodgers Creek Stepover", "lidar" ], "spatial": "-123.45,34.76,-120.08,40.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H70CRD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quantifying Channel Change in a Steep Coastal Stream, CA 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Telemak Olsen at Western Washington University. This dataset was collected to help quantify channel change in response to a post-fire debris flow in a steep coastal stream in Big Sur, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072023.6339.1", "modified": "2023-08-14", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "geomorphology", "fire", "Big Sur", "topography", "lidar", "NCALM" ], "spatial": "-121.61,36.07,-121.55,36.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TD9VJF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kaikōura and Waimakariri, Canterbury, New Zealand 2022", "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd on 2 July 2022, 3 July 2022 and 15 September 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Kaik\u014dura township, Clarence River and Waimakariri River. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.072023.2193.1", "modified": "2023-07-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canterbury", "kaikoura", "waimakariri", "clarence", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "172.04,-43.47,173.95,-42.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z60M78", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Willow Creek Lidar, CA 2012", "description": "Lidar was collected over Willow Creek from November 23rd - 24th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers 33,109 acres ( 133.99 km2)", "identifier": "OT.072023.26911.1", "modified": "2023-07-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Willow Creek", "ecology", "topography", "forestry", "USFS" ], "spatial": "-119.53,37.14,-119.43,37.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G73BWM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Trout Creek Lidar, CA 2012", "description": "Lidar was collected over the Trout Creek area in the Modoc Forest on October 16th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers 4,104 acres ( 16.61 km2)", "identifier": "OT.072023.26910.1", "modified": "2023-07-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Modoc", "Trout Creek", "Medicine Lake", "ecology", "topography", "forestry", "USFS" ], "spatial": "-121.92,41.41,-121.88,41.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QN64ZG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Trout Creek Lidar, CA 2013", "description": "Lidar was collected over the Trout Creek area in the Modoc Forest between September 7th - October 18th 2013 for the USFS Pacific Region. Data were collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers 10,030 acres ( 40.59 km2)", "identifier": "OT.062023.26910.8", "modified": "2023-06-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Modoc", "Trout Creek", "Medicine Lake", "ecology", "topography", "forestry", "USFS" ], "spatial": "-121.97,41.41,-121.86,41.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VD6WNC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Taliaferro Ridge Lidar, CA 2013", "description": "Lidar was collected over the Howard Lake Slide-Taliferro Annex area in the Mendocino National Forest on October 22nd 2013 for the USFS Pacific Region. Data were collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers 14,641 acres ( 59.25 km2)", "identifier": "OT.062023.26910.7", "modified": "2023-06-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Howard Lake", "Taliaferro Ridge", "landslide", "Mendocino", "ecology", "topography", "forestry", "USFS" ], "spatial": "-123.12,39.86,-122.94,39.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9057D42", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Summit Springs Lidar, CA 2013", "description": "Lidar was collected over the Mendocino (Summit Springs) area of California on October 23rd 2013 for the USFS Pacific Region. Data were collected to aid the USFS in assessing the topographic and geophysical properties of the study area to support planning and development for fire rehabilitation and restoration effort. This dataset covers 2,933 acres ( 11.87 km2)", "identifier": "OT.062023.26910.5", "modified": "2023-06-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Mendocino", "Summit Springs", "Plumas", "ecology", "topography", "forestry", "USFS" ], "spatial": "-122.8,39.31,-122.75,39.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97P8WMV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Taliaferro Ridge Lidar, CA 2012", "description": "Lidar was collected over the Taliaferro Ridge Landslide in the Mendocino National Forest on October 16th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers 5688 acres ( 23.02 km2)", "identifier": "OT.062023.26910.6", "modified": "2023-06-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Taliaferro Ridge", "landslide", "Mendocino", "ecology", "topography", "forestry", "USFS" ], "spatial": "-123.09,39.88,-123.0,39.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93X84V2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Storrie Fire, CA 2013", "description": "Lidar was collected over region of the Storrie Fire in the Plumas National Forest in California from July 30th - August 6th 2013 for the USFS Pacific Region. Data were collected to aid the USFS in assessing the topographic and geophysical properties of the study area to support planning and development for fire rehabilitation and restoration effort. This dataset covers 64,000 acres ( ~260 km2)", "identifier": "OT.062023.26910.4", "modified": "2023-06-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Storrie Fire", "Plumas", "ecology", "topography", "forestry", "USFS" ], "spatial": "-121.45,39.92,-121.24,40.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CF9N94", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Storrie Fire, CA 2009", "description": "Lidar was collected over the region of the Storrie Fire in the Plumas National Forest between July 31st and August 11th, 2009", "identifier": "OT.062023.26910.3", "modified": "2023-06-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Storrie Fire", "Plumas", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-121.41,39.9,-121.18,40.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H41PN4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS South Creek Lidar, CA 2012", "description": "Lidar was collected over South Creek in the Sequoia National Forest from November 19th - 20th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers 15,879 acres ( 64.26 km2)", "identifier": "OT.062023.26911.1", "modified": "2023-06-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "South Creek", "ecology", "topography", "forestry", "USFS" ], "spatial": "-118.65,35.91,-118.49,35.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WD3XSR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Squaw Creek Lidar, CA 2013", "description": "Lidar was collected for the Squaw Creek region of California between August 20th and September 1st 2013 2013 for the USFS Pacific Region. Data was collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 12,000 acres ( over 48 km2)", "identifier": "OT.062023.26910.2", "modified": "2023-06-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Squaw Creek", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-122.19,40.78,-122.06,40.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MW2FB3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kohala Peninsula, Hawaii: Precipitation Effects on Landscape Evolution", "description": "NCALM Seed. PI: Brendan P. Murphy, The University of Texas at Austin. The survey area consisted of a 46 square kilometer irregular polygon on the island of Hawaii covering two distinct watersheds on the Kohala Peninsula. The data were collected to quantify the role of spatially variable climate in bedrock fluvial incision on the Kohala Peninsula. Repeated efforts were made to survey this area over an 8-day span. Unfortunately the ever-present cloud cover on the wet side prevented the completion of the survey. The survey attempts took placed from February 5, 2013 through February 12, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012014.26904.1", "modified": "2014-01-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-155.88,20.1,-155.77,20.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J67DW7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Snag Hill Lidar, CA 2012", "description": "Lidar was collected over Snag Hill in the Shasta-Trinity National Forest of California on October 14th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 26,000 acres ( over ~100 km2)", "identifier": "OT.062023.26910.1", "modified": "2023-06-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Snag", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-121.72,41.42,-121.62,41.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J38QQ2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quantitative Characterization of Dune-Dune Interactions, CA 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for M. Colin Marvin at the Stanford University. This dataset was collected to aid the quantitative characterization of dune-dune interactions in the Rice Valley dune field in the southeastern Mojave Desert.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062023.6340.1", "modified": "2023-06-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "geomorphology", "dunes", "rice valley", "Mojave", "topography", "lidar", "NCALM" ], "spatial": "-114.76,33.9,-114.69,33.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NV9GFG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southland, New Zealand 2020-2024", "description": "LiDAR was captured for Environment Southland by Aerial Surveys from 15 December 2020 to 30 January 2024. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.042023.2193.3", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "invercargill", "gore", "milford", "south island", "environment southland", "new zealand", "linz", "aerial surveys" ], "spatial": "167.21,-46.68,169.28,-44.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TM78B1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Waikato, New Zealand 2021", "description": "Lidar was captured for the 10 Waikato Councils (Waikato Regional Council, Waikato District Council, Hauraki District Council, Thames Coromandel District Council, Matamata Piako District Council, \u014ctorohanga District Council, South Waikato District Council, Taup\u014d District Council, Waip\u0101 District Council and Waitomo District Council), and the project managed by Co-Lab (formerly Waikato LASS), and led by Waikato Regional Council. Data was captured by Ocean Infinity Ltd (formerly iXblue) from 5 January to 26 March 2021. The dataset was generated by Ocean Infinity and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.042023.2193.2", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "waikato", "north island", "new zealand", "linz", "ocean infinity" ], "spatial": "174.61,-39.3,176.7,-36.41", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZC8136", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wānaka, Otago, New Zealand 2022-2023", "description": "Lidar was captured for the Queenstown Lakes District Council by Landpro Ltd from 27 November 2022 to 11 January 2023. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand. NOTE: In March of 2024, LINZ discovered a 20 cm vertical offset in the original dataset. LINZ provided a corrected version of the dataset, and this was implemented into OpenTopography on March 13th 2024.", "identifier": "OT.042023.2193.1", "modified": "2023-04-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wanaka", "luggate", "lake hawea", "otago", "south island", "new zealand", "linz", "landpro" ], "spatial": "169.09,-44.75,169.29,-44.61", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96T0JVW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Sims Fire Lidar, CA 2012", "description": "Lidar was collected over the Sims Fire region of Northern California between October and December 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 126,000 acres ( over 511 km2)", "identifier": "OT.042023.26910.1", "modified": "2023-04-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Sims", "ecology", "topography", "forestry", "USFS", "wildlife" ], "spatial": "-123.74,40.55,-123.45,40.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BK19J5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS San Gabriel Mountain Lidar, CA 2009", "description": "Lidar was collected over the San Gabriel mountains of California between May 30th - June 22nd 2009 for the USFS Pacific Region. Data was collected for multiple science objectives: earthquake hazards, flooding hazards, habitat mapping and fire science This dataset covers over 100,000 acres ( over 400 km2) NOTE:This dataset is being presented as it was provided by the USFS. This original form of the dataset contains two issues that users should be aware of: The pre-computed rasters do not extend to the entire extent of the lidar collection bounds. Pre-computed rasters are focused on the central portions of the study area The point cloud classifications are not consistent throughout the dataset. This results in cases where a \"ground-only\" selection for a region (e.g. NW section of the dataset), may return \"no data\". In these cases it is advised to select all available classes, and do not filter by classification", "identifier": "OT.032023.26911.2", "modified": "2023-04-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "San Gabriel", "ecology", "topography", "hydrology", "wildlife", "USFS" ], "spatial": "-118.3,34.06,-117.74,34.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M32T07", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Slides Glade Lidar, CA 2013", "description": "Lidar was collected over Slides Glade in the Mendocino National Forest on June 21st 2013 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 7900 acres ( ~32 km2)", "identifier": "OT.042023.26910.2", "modified": "2023-04-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Slides Glade", "ecology", "topography", "forestry", "USFS" ], "spatial": "-122.88,40.02,-122.81,40.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GB228W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Lions Den Gorge Bluff, Wisconsin, April 2022", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.102025.32616.5", "modified": "2025-10-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.88,43.34,-87.88,43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92B8W7X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Road46 Lidar, CA 2013", "description": "Lidar was collected for the Road 46N02-Modoc area of California between October 4th - 5th 2013 for the USFS Pacific Region. Data was collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 13,000 acres ( over 55 km2)", "identifier": "OT.032023.26910.4", "modified": "2023-03-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Oak Creek", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-120.57,41.56,-120.5,41.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QV3JRP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Oak Creek Lidar, CA 2012", "description": "Lidar was collected over Oak Creek California near Kings Canyon National Park between November 13th - 15th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 16,000 acres ( over 68 km2)", "identifier": "OT.032023.26911.1", "modified": "2023-03-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Oak Creek", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-118.39,36.79,-118.23,36.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VM49HV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Mule Lidar, CA 2013", "description": "Lidar was collected over the Mule Project Site in the Modoc Forest of California between October 20th - 21st 2013 for the USFS Pacific Region. Data was collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 19,000 acres ( over ~79 km2)", "identifier": "OT.032023.26910.3", "modified": "2023-03-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Mule", "Modoc", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-122.88,39.8,-122.69,39.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90C4T05", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Mule Lidar, CA 2012", "description": "Lidar was collected over the Mule Project Site of California on October 15th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 11,000 acres ( over ~46 km2)", "identifier": "OT.032023.26910.2", "modified": "2023-03-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Mule", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-122.85,39.81,-122.74,39.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9416V8Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Top of the South Flood, Nelson and Tasman, New Zealand 2022", "description": "LiDAR was captured for Nelson City Council, Tasman District Council, Waka Kotahi and National Emergency Management Agency by Aerial Surveys Ltd from 23 August 2022 to 6 September 2022, in response to a severe weather emergency event. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.032023.2193.1", "modified": "2023-03-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nelson", "tasman", "new zealand", "linz", "aerial surveys" ], "spatial": "172.78,-41.5,173.68,-40.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97S7KZ8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Mount Bidwell Lidar, CA 2013", "description": "Lidar was collected over the Mount Bidwell-Modoc region of California on October 5th 2013 for the USFS Pacific Region. This dataset covers over 4000 acres ( over ~17 km2)", "identifier": "OT.032023.26910.1", "modified": "2023-03-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Mount Bidwell", "Modoc", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-120.23,41.94,-120.17,41.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CJ8BP0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Moores Flat Lidar, CA 2013", "description": "Lidar was collected over the Moores Flat region of California on April 26th 2013 for the USFS Pacific Region. This dataset was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 2960 acres ( over ~12 km2)", "identifier": "OT.022023.26910.5", "modified": "2023-02-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Moores Flat", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-120.87,39.41,-120.82,39.44", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H993DQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tasman Bay, Tasman, New Zealand 2022", "description": "LiDAR was captured for the Tasman District Council by Aerial Surveys Ltd from 14 October to 7 November 2022. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.022023.2193.1", "modified": "2023-02-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tasman", "motueka", "waimea", "moutere", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "172.92,-41.53,173.22,-41.06", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N29V5H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Cub Complex Lidar, CA 2009", "description": "Lidar was collected over the Cub Complex in the Lassen National Forest between July 31st and August 11th, 2009", "identifier": "OT.092022.26910.2", "modified": "2022-09-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Cub Complex", "ecology", "topography", "USFS" ], "spatial": "-121.58,40.11,-121.41,40.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91G0JGZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Moonlight Fire Lidar, CA 2013", "description": "Lidar was collected over the Moonlight Fire region of the Plumas National Forests in California between August 3rd and August 15th 2013 for the USFS Pacific Region. This dataset was collected to aid the USFS in assessing the topographic and geophysical properties of the study area to support planning and development for fire rehabilitation and restoration efforts. This dataset covers over 130,000 acres ( over ~529 km2)", "identifier": "OT.022023.26910.4", "modified": "2023-02-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Moonlight", "Plumas", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-120.9,40.04,-120.55,40.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RV0KXH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Mill Flat Creek Lidar, CA 2012", "description": "Lidar was collected over Mill Flat Creek, California between November 19th and November 20th 2012 for the USFS Pacific Region. This dataset was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 32,000 acres ( over ~130 km2)", "identifier": "OT.022023.26911.1", "modified": "2023-02-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Mill Flat", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-119.13,36.72,-118.94,36.86", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WM1BMS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Michigan Bluff Lidar, CA 2013", "description": "Lidar was collected over Michigan Bluff, California on April 26th 2013 for the USFS Pacific Region. This dataset was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 3,000 acres ( over 12 km2)", "identifier": "OT.022023.26910.3", "modified": "2023-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Meadow Valley", "ecology", "topography", "wildlife", "USFS" ], "spatial": "-120.77,39.01,-120.72,39.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91834Q6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping Changes in Vegetation After Deep-Seated Landslides, OR 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Jonathan Sheppard at the University of Oregon. This dataset was collected to map changes in vegetation after deep-seated landslides. The study area is east of Dunes City, Oregon and covers approximately 14 km2Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022023.6339.1", "modified": "2023-02-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "vegetation", "landslide", "geomorphology", "topography", "lidar", "NCALM" ], "spatial": "-124.09,43.9,-124.03,43.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9513WD3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Meadow Valley Lidar, CA 2009", "description": "Lidar was collected over Meadow Valley, California between July 31st 2009 and August 11th 2009 for the USFS Pacific Region. This dataset covers over 60,000 acres ( over 240 km2)", "identifier": "OT.022023.26910.1", "modified": "2023-02-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Meadow Valley", "ecology", "topography", "USFS" ], "spatial": "-121.16,39.84,-120.91,40.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98S4N4H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Marble Valley Lidar, CA 2012", "description": "Lidar was collected over Marble Valley, California on October 17th 2012 for the USFS Pacific Region. Data was collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 7,000 acres ( over 29 km2)", "identifier": "OT.012023.26910.3", "modified": "2023-02-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "Marble Valley", "topography", "hydrology", "wildlife" ], "spatial": "-123.24,41.54,-123.17,41.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DJ5CVT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Lower Klamath Lidar, CA 2014", "description": "Lidar was collected over the Lower Klamath River between May 12th and May 21st 2014 for the USFS Pacific Region. Data was acquired to help assess the topographic and geophysical properties of the study area to support in stream and terrestrial habitat monitoring and restoration. This dataset covers over 41,000 acres ( over 160 km2)", "identifier": "OT.012023.26910.2", "modified": "2023-01-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "Klamath", "topography", "hydrology" ], "spatial": "-123.7,41.38,-123.54,41.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J964M0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Sparta Earthquake Rupture, NC 2020", "description": "This lidar dataset was collected by NCALM for Paula Figueiredo at North Carolina State University. This dataset was collected to examine earthquake dynamics related to the Mw 5.1 2020 earthquake in Sparta, North Carolina. The study area covers approximately 11 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122022.32617.1", "modified": "2023-01-03", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "earthquake", "displacement", "rupture", "lidar", "tectonic", "NCALM" ], "spatial": "-81.12,36.47,-81.07,36.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92805T4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Illilouette Basin Lidar, CA 2011", "description": "Lidar was collected over the Illilouette Basin in Yosemite National Park, California between August 19th and August 21st 2011 for the USFS Pacific Region. This dataset covers over 42,000 acres ( over 170 km2)", "identifier": "OT.122022.26911.1", "modified": "2023-01-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Illilouette", "Yosemite", "topography", "hydrology" ], "spatial": "-119.6,37.61,-119.42,37.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XG9PCR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Linking Snowpack Heterogeneity to Subsurface Storage and Transmissivity, OR 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Sarah Newcomb at Idaho State University. This dataset was collected to investigate the link between snowpack heterogeneity and subsurface storage and transmissivity in the rain-snow transition zone. The study area is located east of Eugene, Oregon and covers approximately 63 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122022.6339.1", "modified": "2022-12-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hydrology", "snowpack", "topography", "subsurface", "lidar", "NCALM" ], "spatial": "-122.2,44.2,-122.09,44.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99S1P8W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Humbug Creek Lidar, CA 2013", "description": "Lidar was collected over Humbug Creek, California between September 4th and September 7th 2013 for the USFS Pacific Region. This dataset was collected in order to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 24,000 acres ( over 100 km2)", "identifier": "OT.122022.26910.2", "modified": "2022-12-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Humbug Creek", "topography", "hydrology" ], "spatial": "-122.82,41.73,-122.65,41.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FJ2F12", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Canterbury, New Zealand 2020-2025", "description": "LiDAR was captured for Environment Canterbury Regional Council by Aerial Surveys Ltd from 1 May 2020 to 22 April 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.122022.2193.1", "modified": "2022-12-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Canterbury", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "169.54,-45.09,174.07,-41.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q23XF8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Medicine Lake Volcano Lidar, CA 2013", "description": "Lidar was collected over Harris Mountain and Medicine Lake, California between October 6th and October 18th 2013 for the USFS Pacific Region. This dataset was collected in order to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 83,000 acres ( over 330 km2)", "identifier": "OT.122022.26910.1", "modified": "2022-12-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Hager basin", "topography", "hydrology", "Medicine Lake" ], "spatial": "-121.78,41.41,-121.43,41.66", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K935RC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Hager Basin Lidar, CA 2013", "description": "Lidar was collected over Hager Basin, California on October 2nd - 5th 2013 for the USFS Pacific Region. Data were collected provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. This dataset covers over 3200 acres ( over 13 km2)", "identifier": "OT.112022.26910.3", "modified": "2022-11-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Hager Basin", "topography", "hydrology" ], "spatial": "-120.86,41.79,-120.79,41.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TQ5ZRZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Forest-Snow Interactions in a High Elevation Critical Zone, CA 2022", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Cara Piske at the University of Nevada, Reno. This dataset was collected to investigate forest-snow interactions in a high elevation critical zone. The study area is located northwest of Truckee, California and covers approximately 50 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112022.6339.1", "modified": "2022-11-17", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "forestry", "hydrology", "lidar", "topography", "NCALM" ], "spatial": "-120.33,39.4,-120.22,39.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZG6QF7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Gopher Hill Lidar, CA 2012", "description": "Lidar was collected over Gopher Hill, California on November 26th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 500 acres ( over 2 km2)", "identifier": "OT.112022.26910.2", "modified": "2022-11-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Gopher Hill", "ecology", "topography", "forestry", "USFS", "wildlife" ], "spatial": "-121.04,39.95,-121.02,39.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9707ZNV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northland, New Zealand 2018-2020", "description": "LiDAR was captured for the Northland Regional Council by RPS Group between December 2018 to February 2020. The dataset was generated by RPS Group and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.112022.2193.1", "modified": "2022-11-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "dargaville", "kaitaia", "kerikeri", "whangarei", "northland", "north island", "new zealand", "linz", "rps" ], "spatial": "172.03,-36.4,174.79,-34.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BR8QDQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS East Branch East Weaver Creek Lidar, CA 2012", "description": "Lidar was collected over East Branch East Weaver Creek on October 14th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 2700 acres ( over 11 km2)", "identifier": "OT.112022.26910.1", "modified": "2022-11-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Weaver Creek", "ecology", "topography", "forestry", "USFS", "wildlife" ], "spatial": "-122.96,40.79,-122.92,40.83", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GH9G4F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Alpine Fault, NZ 2015", "description": "Lidar data was acquired in four strips along the Alpine Fault for GNS Science between September 22 - 25 2015 to investigate the transition from the central and northern sections of the Alpine Fault. For more details, see the publication: Langridge RM, Howarth JD. 2018. A New Paradigm for Alpine Fault Paleoseismicity: The Northern Section of the Alpine Fault. Lower Hutt (NZ): GNS Science. 49 p. (GNS Science miscellaneous series 121). doi:10.21420/G2WS9H", "identifier": "OT.102022.2193.4", "modified": "2022-10-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "New Zealand", "Alpine fault", "GNS", "South Island", "topography", "lidar" ], "spatial": "170.98,-42.99,172.32,-42.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M61HGF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Central Alpine Fault, NZ 2010", "description": "Lidar data was collected across the Franz Josef to Whataroa areas of the Alpine Fault for GNS Science between 7/7/2010 and 7/8/2010, with specific flight line parameters applied for the dense native forest and stepping fault pattern in this region.", "identifier": "OT.102022.2193.2", "modified": "2022-10-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "New Zealand", "Alpine fault", "Franz Josef", "Whataroa", "South Island", "topography", "lidar", "forestry" ], "spatial": "170.11,-43.43,170.45,-43.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VQ30V8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Western Hope Fault, NZ 2010", "description": "Lidar data was collected over remote parts of the western section of the Hope Fault for GNS Science on 11/24/2010 to investigate the utility of airborne LiDAR over New Zealand beech forests", "identifier": "OT.102022.2193.3", "modified": "2022-10-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "New Zealand", "Hope fault", "GNS", "South Island", "topography", "lidar", "forestry" ], "spatial": "172.0,-42.7,172.33,-42.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QZ285D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Dinkey Creek Lidar, CA 2012", "description": "Lidar was collected over Dinkey Creek from November 21st - 27th 2012 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers over 61,000 acres ( over 200 km2)", "identifier": "OT.102022.26911.3", "modified": "2022-10-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Dinkey Creek", "ecology", "topography", "forestry", "USFS" ], "spatial": "-119.29,36.95,-119.02,37.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9474829", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the San Pedro River, AZ 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Conor McMahon at the University of California, Santa Barbara. This dataset was collected to provide riparian vegetation mapping, classification, and measure historic drought response on the San Pedro river. The study area is located east of Sierra Vista, Arizona and covers approximately 81.5 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102022.32612.1", "modified": "2022-10-17", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "drought", "geomorphology", "San Pedro", "topography", "riparian", "NCALM" ], "spatial": "-110.21,31.33,-110.09,31.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98050T2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Dinkey Creek Lidar, CA 2010", "description": "Lidar was collected over Dinkey Creek from October 12th - 19th 2010 for the USFS Pacific Region. This dataset covers over 51,000 acres ( over 200 km2)", "identifier": "OT.102022.26911.2", "modified": "2022-10-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Dinkey Creek", "ecology", "topography", "forestry", "USFS" ], "spatial": "-119.32,36.92,-119.01,37.17", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CR5RJ3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Bluff Creek Lidar, CA 2013", "description": "Lidar was collected in April 2013 over Bluff Creek in Northern California for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers roughly 4145 acres ( ~16 km2)", "identifier": "OT.092022.26910.1", "modified": "2022-09-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Bluff Creek", "ecology", "topography", "USFS" ], "spatial": "-123.7,41.23,-123.65,41.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9571974", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kaikōura, Canterbury, New Zealand 2016", "description": "LiDAR was commissioned by Toit\u016b Te Whenua Land Information New Zealand on behalf of GNS Science, Environment Canterbury Regional Council, Marlborough District Council, Kaikoura District Council, Hurunui District Council, Waka Kotahi NZ Transport Agency, and the Earthquake Commission for earthquake recovery purposes for Kaik\u014dura. LiDAR was captured by AAM Ltd after the 14 November 2016 earthquake. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.102022.2193.1", "modified": "2022-10-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kaikōura", "south island", "new zealand", "linz", "aam" ], "spatial": "172.87,-42.73,174.29,-41.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HD7SWJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Deadman Creek Lidar, CA 2013", "description": "Lidar was collected over Deadman Creek between August and September of 2013 for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers roughly 28,389 acres ( ~115 km2)", "identifier": "OT.102022.26911.1", "modified": "2022-10-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Deadman Creek", "ecology", "topography", "forestry", "USFS" ], "spatial": "-119.11,37.67,-118.93,37.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N58JKT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topographic and Lithologic Controls on Subsurface Weathering, CA 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Justin Higa at the University of California, Los Angeles. This dataset was collected to help analyze topographic and lithologic controls on subsurface weathering in the Sierra Nevada mountains. The study area is located north east of Fresno, California and covers approximately 38 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092022.6340.2", "modified": "2022-09-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Sierra Nevada", "geomorphology", "weathering", "topography", "NCALM" ], "spatial": "-119.17,37.05,-119.1,37.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RX998S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Morphodynamics of an Unvegetated Meandering River, NV 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Michael Hasson at Stanford University. This dataset was collected to help analyze morphodynamics of an unvegetated meandering river in the McLeod Springs Wash in Nevada. The study area is located north of Tonopah, Nevada and covers approximately 53 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092022.6340.1", "modified": "2022-09-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hydrology", "nevada", "lidar", "geomorphology", "NCALM" ], "spatial": "-117.16,38.98,-117.06,39.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WQ0202", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Sierra Nevada Mountains, CA 2012", "description": "Lidar was collected between November 01 2012 and November 07 2012 in the Northern Sierra Nevada Mountains of California. Data were collected by National Center for Airborne Laser Mapping (NCALM) for Dr. Qinghua Guo at the University of California, Merced Sierra Nevada Research Institute. This dataset covers roughly 437 km2Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082022.6339.1", "modified": "2022-08-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "forestry", "Sierra Nevada", "ecology", "topography", "burnpro3d", "NCALM" ], "spatial": "-120.66,38.9,-120.4,39.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DN438J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Blodgett Forest Lidar, CA 2013", "description": "Lidar was collected in November 2013 over the Blodgett Forest in Northern California. This dataset covers roughly 20 km2 This dataset was delivered with minimal metadata, therefore the coordinate system information reported is an estimate. Users should use caution when using this dataset for any detailed elevation analysis or comparisons. See the metadata files below for more details.", "identifier": "OT.082022.26910.3", "modified": "2022-08-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "geomorphology", "ecology", "topography", "USFS", "forest structure" ], "spatial": "-120.69,38.85,-120.63,38.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JD4TZ1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Bean Hill Lidar, CA 2012", "description": "Lidar was collected in August 2012 over the Bean Hill area in Northern California for the USFS Pacific Region. Data were collected to aid in identifying ecological restoration opportunities by assessing forest structural complexity, mapping geomorphic features, and quantifying acreages of highly suitable wildlife habitat. This dataset covers roughly 143 acres ( 0.6 km 2)", "identifier": "OT.082022.26910.2", "modified": "2022-08-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "geomorphology", "ecology", "topography", "USFS", "forest structure" ], "spatial": "-121.09,39.97,-121.08,39.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P55KPR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Bagley Fire Lidar, CA 2013", "description": "Lidar was collected on August 29 - September 01 2013 over the Bagley Fire Area in California for the USFS Pacific Region. Data were collected to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping and hydraulic modeling. The Bagley Fire project area covers over 200 km2", "identifier": "OT.082022.26910.1", "modified": "2022-08-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Bagley Fire", "ecology", "topography", "USFS" ], "spatial": "-122.15,40.94,-121.96,41.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SX6BD5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topographic Signatures of Barrier Island Vulnerability, TX 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Kenton Fisher at Texas A&M University. This dataset was collected to help analyze changes in the sand budget, elevation, and geomorphic facies of Padre Island, Texas. The study area is located on Padre Island, east of Port Mansfield, Texas and covers approximately 61 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082022.32614.1", "modified": "2022-08-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "barrier island", "coastline", "erosion", "storm surge", "sea level", "Texas", "NCALM" ], "spatial": "-97.38,26.54,-97.25,26.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XP734W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sediment Accretion Rates and Spatial Patterns in the Wax Lake Delta, LA 2020", "description": "Rising sea levels and an increasing frequency of storm events has put deltas worldwide at risk. However, sediment deposition from fluvial sources can build land in deltas and counteract this modern trend of land loss. Understanding sediment transport and deposition patterns in coastal deltas thus represents a promising approach to maximizing their future survival. This lidar dataset was collected as part of an NCALM Seed grant for Justin Nghiem at the California Institute of Technology to help understand modern coastal sediment accretion rates and spatial patterns in the Wax Lake Delta, LA. The study area is located southwest of Morgan City, LA and covers approximately 53 km2. Note about point classifications: Ground classification was done using a morphological filter in Terrascan and points included in class 2. Bathymetry points classification was done on returns from green laser i.e. channel 3 over the waterbody. Due to the characteristics of the water body (murky water, dark bottom), it cannot be ascertained with 100% certainty that the laser returns from shots of green channel that penetrated the water column, are from the bottom. The lowest returns were classified as the bathymetry points (class 40) as they have the highest probability of representing the water body bottom. All the other green channel points (channel 3) over the water body were classified separately in class 9 as water points. The points over the water surface from the IR laser channels (channel 2 and 3) were classified in class 41 as water surface. Class 1 includes the unclassified points from Channels 1,2 and 3. Therefore, point classifications are as follows: 1: Unclassified - all channels 2: Ground - all channels 9: Water - from channel 3 (green) 40: Bathymetric Points - channel 3 (green) 41: Water Surface Points - channel 2 and 3 (IR channels) Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072022.6344.1", "modified": "2022-08-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "delta", "sediment", "accretion", "coastal erosion", "deposition", "NCALM" ], "spatial": "-91.5,29.45,-91.4,29.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99W0CP6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Coastal Catchments, Otago, New Zealand 2021", "description": "LiDAR was captured for the Otago Regional Council by AAM Ltd from 25 June to 1 October 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.072022.2193.1", "modified": "2022-07-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Milton", "catlins", "palmerston", "dunedin", "balclutha", "mosgiel", "oamaru", "south island", "new zealand", "linz", "aam" ], "spatial": "169.19,-46.65,171.15,-44.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q52MT4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Christchurch, Canterbury, New Zealand 2020-2021", "description": "LiDAR was captured for the Christchurch City Council by Landpro Ltd from 18 December 2020 to 17 February 2021. The dataset was generated by Landpro and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.072022.2193.2", "modified": "2022-07-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Christchurch", "canterbury", "south island", "new zealand", "linz", "landpro" ], "spatial": "172.39,-43.67,172.81,-43.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KD1W3T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Power Fire Lidar, CA 2015", "description": "Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid United States Forest Service in assessing the topographic and geophysical properties of the study area to support ecological restoration planning and to assess existing conditions of area forests. The Power Fire project area covers over 114,000 acres (> 460 km2)", "identifier": "OT.072022.26910.1", "modified": "2022-07-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Power Fire", "ecology", "topography", "USFS" ], "spatial": "-120.5,38.43,-120.0,38.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZP44B5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS North Happy Camp Complex Lidar, CA 2015", "description": "Lidar data was collected within the Klamath Forest region between February 16 2105 and March 08 2015 for the USDA Forest Service between. The critical challenge for this project was to acquire the data before the leaf-on conditions but without snow on the highest peaks. For this particular reason, the Happy Camp Complex project area was split into Northern and Southern subdivisions. This dataset covers the Northern section of the Happy Camp Complex which represents the lower elevation area of the two subdivisions.", "identifier": "OT.062022.26910.2", "modified": "2022-06-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "lidar", "Klamath", "USFS", "topography", "Happy Camp" ], "spatial": "-123.4,41.66,-123.0,41.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9736P31", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Kern Plateau Lidar, CA 2011", "description": "Lidar data was collected over the Kern Plateau in the Sequoia National Forest, California for the USDA Forest Service between August 13th \u0096 18th, 2011. The Kern Plateau project area covers over 134,00 acres (>544 km2).", "identifier": "OT.062022.26911.1", "modified": "2022-06-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Kern", "Sequoia", "topography", "USFS" ], "spatial": "-118.41,36.12,-118.09,36.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MC8X7N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Upper Hutt City, Wellington, New Zealand 2021", "description": "LiDAR was captured for the Upper Hutt City Council by AAM Ltd from 25 March to 27 March 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.062022.2193.1", "modified": "2022-06-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "upper hutt", "trentham", "silverstream", "timberlea", "akatarawa", "linz", "aam", "wellington", "north island", "new zealand" ], "spatial": "174.99,-41.18,175.15,-41.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90P0X74", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USFS Freds Fire Lidar, CA 2015", "description": "Lidar was collected in the fall of 2014 and spring of 2015 for the USFS Pacific Region 5 sites in California. Data were collected to aid the United States Forest Service in assessing topographic and geophysical properties, as well as supporting ecological restoration planning, and assessing existing conditions of area forests. The Freds Fire project area covers over 150,000 acres (> 600 km 2)", "identifier": "OT.062022.26910.1", "modified": "2022-06-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "California", "fire", "Freds Fire", "ecology", "topography", "USFS" ], "spatial": "-120.6,38.63,-120.03,38.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94B2ZHP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bedrock exposure, canopy density, and runoff generation in the Rampart Range, CO 2018", "description": "This 2018 airborne lidar dataset was collected by NCALM for the NSF-funded project, \"Topographic response to the transition from snowmelt- to rainfall- triggered extremes\". This study uses lidar data to characterize hillslope and river network properties to understand how rainstorm and snowmelt runoff drive large floods, erosion, and the long-term evolution of landscapes. The survey area is located northwest of Colorado Springs, CO and covers approximately 557 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052022.6342.1", "modified": "2022-05-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "topography", "bedrock", "rainfall", "snowmelt", "runoff", "NCALM" ], "spatial": "-105.12,38.86,-104.83,39.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CV4FXZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Estimating Bedload Transport in Gravel-Bedded Rivers, MA 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Jordan Fields at Dartmouth College. This dataset provided field validation of the virtual velocity approach for estimating bedload transport in gravel-bedded rivers. The study area is located near North Adams, MA and covers approximately 3.6 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052022.6347.1", "modified": "2022-05-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hydrology", "bedload", "lidar", "river", "transport", "NCALM" ], "spatial": "-73.27,42.72,-73.25,42.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HM56NP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tasman, New Zealand 2020-2022", "description": "LiDAR was captured for the Tasman District Council by Aerial Surveys Ltd from 28 January 2020 to 30 January 2022. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.052022.2193.2", "modified": "2022-05-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tasman", "richmond", "motueka", "abel tasman", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "172.05,-42.31,173.31,-40.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S46Q5N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Impact of Waterfall Formation on River Long Profiles, CA 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Sophie Rothman at the University of Nevada, Reno. This study used airborne lidar to assess how self-generation and retreat of bedrock steps and waterfalls can alter river profiles. The study area is along selected rivers within the Sierra Nevada mountains in California and covers approximately 73 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052022.32611.1", "modified": "2022-05-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "river", "waterfall", "bedrock", "hydrology", "sierra nevada", "NCALM" ], "spatial": "-118.86,36.41,-118.61,36.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WW7FV6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dunedin and Mosgiel, Otago, New Zealand 2021", "description": "LiDAR was captured for the Otago Regional Council by AAM Ltd on the 24 June 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.052022.2193.1", "modified": "2022-05-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dunedin", "mosgiel", "otago", "south island", "new zealand", "linz", "aam" ], "spatial": "170.33,-45.92,170.54,-45.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91J97ZM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Middle Usumacinta Region, Mexico", "description": "This dataset is a lidar survey by the Middle Usumacinta Archaeological Project. It examines the distribution of archaeological sites in the Middle Usumacinta region in eastern Tabasco, Mexico. Data was collected for Dr. Takeshi Inomata at the University of Arizona.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042022.32615.1", "modified": "2022-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Usumacinta", "Mexico", "archaeology", "lidar", "Tabasco", "NCALM" ], "spatial": "-91.48,17.38,-90.93,18.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95B00NF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Oban, Stewart Island / Rakiura, New Zealand 2021", "description": "LiDAR was captured for Environment Southland by Aerial Surveys on the 3 September 2021. The dataset was generated by ASL and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.042022.2193.3", "modified": "2022-04-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oban", "stewart island", "rakiura", "southland", "south island", "new zealand", "linz", "asl" ], "spatial": "168.08,-46.92,168.17,-46.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9930RCS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Na Pali Coast, Kauai, Hawaii", "description": "NCALM Seeds. PIs: Kimberly Huppert, Massachusetts Institute of Technology, and Mathuei Laporte, California Institute of Technology. The requested survey area consisted of a single irregular polygon of approximately 80 square kilometers on the island of KauaI, Hawaii. Data were collected to investigate the climate control of hillslope erosion across a steep rainfall gradient on KauaI (Kimberly Huppert) and the interplay of cliff erosion, landsliding, and knickpoint retreat along the Na Pali Coast, KauaI (Mathieu Lapotre). The survey attempts took placed from February 14, 2013 through February 16, 2013. This survey area encompasses two proposed survey areas from the NCALM Seed program.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012014.26904.2", "modified": "2014-01-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-159.77,22.03,-159.61,22.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91834D5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Taranaki, New Zealand 2021", "description": "LiDAR was captured for the Taranaki Regional Council by AAM Ltd from 3 April to 16 October 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.042022.2193.1", "modified": "2022-04-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Taranaki", "new plymouth", "stratford", "ōpunake", "hāwera", "inglewood", "ōakura", "waverley", "north island", "new zealand", "linz", "aam" ], "spatial": "173.75,-39.87,175.07,-38.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JM27VZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Dangermond Preserve, CA", "description": "In 2018, the Nature Conservancy established the Jack and Laura Dangermond Preserve, a 24,364 acre property around Point Conception, California. The Preserve protects over eight miles of near-pristine coastline and rare connected coastal habitat in Santa Barbara County. Soon after the Preserve was established, Aeroptic, LLC, an aerial imagery company, worked with The Nature Conservancy and ESRI to capture aerial lidar and natural color orthomosaic imagery over the Preserve", "identifier": "OT.042022.32611.1", "modified": "2022-04-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nature Conservancy", "Point Conception", "biodiversity", "ecology" ], "spatial": "-120.51,34.44,-120.35,34.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T43R8K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hutt City, Wellington, New Zealand 2021", "description": "LiDAR was captured for the Hutt City Council by AAM Ltd from 23 March to 27 March 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.032022.2193.1", "modified": "2022-04-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lower hutt", "eastbourne", "wainuiomata", "naenae", "taita", "stokes valley", "north island", "new zealand", "linz", "aam" ], "spatial": "174.85,-41.32,175.0,-41.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92J692Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Blacks Mountain Experimental Forest, CA 2009", "description": "Lidar was collected over the Blacks Mountain Experimental Forest in the Lassen National Forest between July 31st and August 11th, 2009", "identifier": "OT.032022.26910.1", "modified": "2022-03-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "BurnPro3D", "forest", "blacks mountain", "forest service" ], "spatial": "-121.19,40.7,-121.09,40.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZS2TP6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Golden Bay, Tasman, New Zealand 2017", "description": "Lidar was captured for Tasman District Council by AAM New Zealand in November and December 2017. The original datasets were generated by AAM New Zealand and their subcontractors. The survey area includes Golden Bay - Aorere Extension, Farewell Spit, Lee Dam, and St Arnaud. Data management and distribution is by Land Information New Zealand (LINZ). Prepared DEM and DSM files are available through the LINZ Data Service Golden Bay Digital Elevation Model Golden Bay Digital Surface Model", "identifier": "OT.072018.2193.2", "modified": "2018-09-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "golden bay", "farewell spit", "lee dam", "st arnaud", "tasman", "south island", "new zealand", "linz", "aam", "lidar" ], "spatial": "172.41,-41.82,173.19,-40.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N877WS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Dump Creek, ID 2019", "description": "This lidar survey of Dump Creek, ID was collected for Brian Yanites at Indiana University, Bloomington in order to quantify the impact of a late 19th century drainage diversion on landscape processes. The rerouting of Moose Creek to Dump Creek resulted in the river channel widening and undercutting the proximal valley walls, initiating scores of landslides. The data will be used to map the channel morphology, landslides, and tension cracks that continue to propagate across this landscape over a century after the drainage diversion. Data was collected in September 2019 at Dump Creek, northwest of Salmon, Idaho.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032022.6341.1", "modified": "2022-03-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Idaho", "Salmon", "Dump Creek", "drainage", "landslide", "channel", "morphology", "NCALM" ], "spatial": "-114.08,45.3,-114.0,45.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93J3B5W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019", "description": "This lidar dataset was collected by NCALM for Roman DiBiase at Pennsylvania State University. This study uses airborne lidar to quantify the controls of wildfire, climate, and tectonics on the transition between soil-mantled and bedrock hillslopes. The study area consists of sections located north of Ridgecrest, California and covers approximately 133 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022022.6340.1", "modified": "2022-02-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Inyo", "Sierra", "climate", "tectonics", "hillslope", "california", "ridgecrest", "soil", "bedrock", "NCALM" ], "spatial": "-118.13,35.99,-117.87,36.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C24TN0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kapiti Coast, Wellington, New Zealand 2021", "description": "LiDAR was captured for the Kapiti Coast District Council by AAM Ltd from 13 March to 15 March 2021. The dataset was generated by AAM and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.012022.2193.1", "modified": "2022-01-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kapiti", "paraparaumu", "paekākāriki", "ōtaki", "north island", "new zealand", "linz", "aam" ], "spatial": "174.92,-41.02,175.23,-40.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GT5KCD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Nelson, New Zealand 2021", "description": "Lidar was captured for Nelson City Council by Aerial Surveys in 2021. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Nelson City, Hira, Cable Bay, Whangamoa and surrounding area. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.122021.2193.1", "modified": "2021-12-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nelson", "South Island", "New Zealand", "LINZ", "Aerial Surveys" ], "spatial": "173.17,-41.4,173.6,-41.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R78CD4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hydrologic Effects of Forest Restoration, WA 2021", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Cassie Lumbrazo at the University of Washington. This study used airborne lidar to evaluate the hydrologic effects of forest restoration in Washington State\u0092s Eastern Cascade Mountains. The study area consists of sections located northwest of Ellensburg, WA, and covers approximately 62.7 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122021.6339.1", "modified": "2021-12-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "forest", "hydrology", "Cascade", "washington", "restoration", "NCALM" ], "spatial": "-121.12,47.21,-120.91,47.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G989142F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hawke's Bay, New Zealand 2020-2021", "description": "Lidar was captured for the 5 Hawke's Bay Councils (Wairoa District Council, Hastings District Council, Napier City Council, Central Hawke's Bay District Council and Hawke's Bay Regional Council) and the project managed by the Regional Council. The dataset was generated by Ocean Infinity and their subcontractors. The survey area includes Napier, Hastings, Wairoa, Waipawa, Waipukurau, M\u0101hia and the entire Hawke's Bay region. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.112021.2193.1", "modified": "2021-11-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Hawke's bay", "napier", "hastings", "wairoa", "waipawa", "waipukarau", "māhia", "north island", "new zealand", "linz", "iXblue" ], "spatial": "176.04,-40.44,178.01,-38.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S75DH2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wairarapa Fault, NZ 2010", "description": "This lidar was collected for Isabelle Manighetti, Observatoire de la Cote d'Azur, GEOAZUR. The requested survey area is located approximately 39 km east of Wellington. The polygon encloses an area of approximately 128 km2.", "identifier": "OT.042018.2193.2", "modified": "2021-11-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "wellington", "mauriceville", "featherston", "wairarapa", "north island", "new zealand", "aerial surveys" ], "spatial": "175.14,-41.25,175.71,-40.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZW1J0K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Measuring Lake Michigan Coastal Erosion, WI 2020", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Collin Roland at the University of Wisconsin. This study used airborne lidar to assess Lake Michigan coastal erosion by measuring the geomorphic response to extremely high lake levels. The study area is along the coast of Lake Michigan, east of Milwaukee, WI and covers approximately 84 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102021.6345.1", "modified": "2021-10-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Lake Michigan", "Wisconsin", "erosion", "geomorphology", "bathymetry", "NCALM" ], "spatial": "-87.92,42.77,-87.75,43.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z036C5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Preserving Mountains with Forest Management, CA 2020", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Louis Graup at the University of California, Santa Barbara. This study used airborne lidar to study how to preserve mountians as \"water towers\" through forest management. The study area is near Truckee, California and covers approximately 62 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092021.6339.1", "modified": "2021-09-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "california", "forest", "management", "water", "tower", "NCALM" ], "spatial": "-120.34,39.39,-120.2,39.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96H4FMX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Repeat Mapping of Antelope Valley Ranch, CA, 2019", "description": "Data was collected in April 2019 for a repeat high resolution mapping of Antelope Valley, CA. Data was collected by NCALM for Dr. William Dietrich at the University of California. Approximately 24 km2 of high resolution data were collected over Antelope Valley Ranch - 60 km west of Yuba City, CA. Previous mapping of this area was done in 2017. For more details on the 2017 mapping project, click herePublications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082021.6339.2", "modified": "2021-08-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "high resolution", "mapping", "antelope valley", "california", "ca", "NCALM" ], "spatial": "-122.38,39.12,-122.31,39.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FX77MW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Post-Fire Debris Flow Detection and Erosion, Oregon 2020", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Brooke Hunter at the University of Oregon. This study used airborne lidar to detect Post-Fire Debris Flow Detection and Erosion from the Douglas Fire near Grants Pass, Oregon. The study area covers approximately 60 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082021.6339.1", "modified": "2021-08-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "fire", "oregon", "debris", "flow", "erosion", "NCALM" ], "spatial": "-123.64,42.8,-123.53,42.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V69GS8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Marlborough, New Zealand 2020-2022", "description": "LiDAR was captured for Marlborough District Council by Aerial Surveys Ltd from 10 February 2020 to 15 February 2022. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.082021.2193.3", "modified": "2021-08-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Marlborough", "marlborough sounds", "picton", "havelock", "ward", "wairau valley", "awatere valley", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.71,-42.49,174.45,-40.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97D2SB0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "3D Fuel Structure in Relation to Prescribed Fire, CA 2020", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Kaili Brande at University of California, Santa Barbara. This study used airborne lidar to evaluate 3D fuel structure and plant community composition in relation to prescribed fire at the University of California Sedgwick Reserve. The study area covers approximately 66 km2Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082021.32610.1", "modified": "2021-08-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fire", "lidar", "fuel", "sedgwick", "plant", "3D", "NCALM" ], "spatial": "-120.1,34.66,-120.0,34.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C53J18", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Haiti Digital Terrain Model 2014 - 2016", "description": "The Digital Terrain Model (DTM) and orthophotos were collected in 2014 - 2016, and were funded by the World Bank. Data was obtained from HaitiData.org. OpenTopography is redistributing this data in order to aid the recovery efforts for the August 14th, 2021 M 7.2 Haiti earthquake.", "identifier": "OT.082021.32618.1", "modified": "2021-08-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "haiti", "earthquake", "world bank", "DTM", "elevation" ], "spatial": "-74.5,18.02,-71.56,20.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GX48R8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Evaluating Area-Volume Relationships after Mass Wasting Event, NC 2020", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Corey Scheip at North Carolina State University. This study used airborne lidar to evaluate regional landslide area-volume scaling relationships after a large rainfall-triggered mass wasting event in western North Carolina. The study area covers approximately 78 km 2 near Hendersonville, North Carolina.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082021.6346.1", "modified": "2021-08-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "landslide", "north carolina", "wasting event", "rainfall", "area", "volume", "NCALM" ], "spatial": "-82.38,35.21,-82.23,35.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RF5S7S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Queenstown, Otago, New Zealand 2021", "description": "Lidar was captured for Queenstown Lakes District Council by Landpro Ltd between 13 to 14 March 2021. The dataset was generated by Landpro Ltd. The survey area includes Queenstown and Arrowtown, as well as the surrounding residential area. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand (LINZ).", "identifier": "OT.082021.2193.2", "modified": "2021-08-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "queenstown", "arrowtown", "wakatipu lake", "otago", "south island", "new zealand", "linz", "landpro", "lidar" ], "spatial": "168.61,-45.11,168.86,-44.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MP51G0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bay of Plenty, New Zealand 2019-2022", "description": "Lidar was captured for BOPLASS Ltd by Aerial Surveys between 27 October 2019 to 24 October 2022. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Tauranga, Rotorua, Whakat\u0101ne and Te Puke and the surrounding area. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.082021.2193.1", "modified": "2021-08-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tauranga", "whakatāne", "ōpōtiki bay of plenty", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "175.81,-38.86,178.1,-37.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W66J0Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "PG&E Diablo Canyon Power Plant (DCPP): Los Osos, CA Central Coast", "description": "The Diablo Canyon Power Plant (DCPP) Lidar and Imagery datasets are comprised of three separate Lidar surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013). The DCPP Los Osos project study area is located in San Luis Obispo County, California, and encompasses approximately 170,000 acres (674.59 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data across the project area from 17 March 2011 to 31 March 2011. The lidar survey utilized a Leica ALS60 sensor in a Cessna Caravan. The Leica system was set to acquire 105,900 laser pulses per second (i.e., 105.9 kHz pulse rate) and flown at 900 meters above ground level (AGL), capturing a scan angle of \u00b114\u00b0 from nadir when clouds and terrain permitted. With these flight parameters, the laser swath width is 449m and the laser pulse footprint is 21cm. These settings yield an average native pulse density of \u22658 pulses per square meter over terrestrial surfaces. This survey was flown as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM raster data are available for this area: Los Osos DEMs.", "identifier": "OT.022013.26910.3", "modified": "2013-02-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Luis Obispo County", "Los Osos", "California", "PG&E", "Fault", "Diablo Canyon Power Plant (DCPP)", "lidar" ], "spatial": "-120.89,35.0,-120.41,35.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J9649Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Whanganui Urban, Manawatu-Whanganui, New Zealand 2020-2021", "description": "Lidar was captured for Whanganui District Council by Aerial Surveys in 2020-2021. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Whanganui and the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072021.2193.1", "modified": "2021-07-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "whanganui", "manawatu-whanganui", "north island", "new zealand", "linz", "aerial surveys" ], "spatial": "174.88,-40.05,175.38,-39.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90Z71GX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Gisborne, New Zealand 2018-2020", "description": "Lidar was captured for Gisborne District by Aerial Surveys between 2018 and 2020. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes the Gisborne District. Data management and distribution is by Toitu Te Whenua Land Information New Zealand.", "identifier": "OT.042021.2193.2", "modified": "2021-04-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Gisborne", "North Island", "New Zealand", "LINZ", "Aerial Surveys", "lidar" ], "spatial": "177.11,-38.98,178.58,-37.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92V2D9X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Coast, New Zealand 2020-2025", "description": "LiDAR was captured for the West Coast Regional Council by Aerial Surveys Ltd from 16 May 2020 to 11 July 2024. In the summer months of 2025, small, isolated areas were re-flown to address data voids. The dataset was generated by Aerial Surveys and their subcontractors. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand.", "identifier": "OT.042021.2193.1", "modified": "2021-04-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Westport", "greymouth", "hokitika", "haast", "south island", "new zealand", "linz", "aerial surveys" ], "spatial": "168.05,-44.5,172.7,-40.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z31WV0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Illilouette Creek Basin Lidar Survey, Yosemite Valley, CA 2018", "description": "This lidar dataset was collected by NCALM for Sally Thompson at the University of California, Berkeley. This study aims to assess the occurrence and characteristics of post-fire erosion gullies caused by the Empire Fire in Illilouette Creek Basin, California. The study area covers approximately 74 km2 in Yosemite National Park, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042021.6340.1", "modified": "2021-04-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "yosemite", "california", "wildfire", "post-fire", "erosion", "NCALM" ], "spatial": "-119.63,37.62,-119.51,37.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96M351N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hebgen Lake, MT, SfM DEM from aerial images (1947)", "description": "Stereogrammetric pre-earthquake DEM for the 1959 Hebgen Lake earthquake. The model was created from the aerial images collected in 1947. The resolution of the model is 1m/px.", "identifier": "OTDS.082022.32612.1", "modified": "2022-08-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-111.45,44.68,-111.02,44.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9668BCZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Banks Peninsula, Canterbury, New Zealand 2018-2019", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys Limited from 18th July 2018 to 10th February 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey covers Banks Peninsula. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.092020.2193.2", "modified": "2020-10-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "banks peninsula", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.55,-43.91,173.14,-43.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98W3BHC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wellington City, New Zealand 2019-2020", "description": "Lidar was captured for Wellington City Council by Aerial Surveys between 2019 and 2020. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Wellington City and the surrounding area. Data management and distribution is by Land Information New Zealand", "identifier": "OT.092020.2193.1", "modified": "2020-10-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "wellington", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.7,-41.37,174.87,-41.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K935QX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Monitoring Woodland Ecosystems, Utah 2018", "description": "This lidar dataset was collected by NCALM for Philip Dennison and Brian Codding at the University of Utah. This study explores the dynamic impacts of environmental change and biomass harvesting on woodland ecosystems and traditional livelihoods . The study area covers approximately 230 km2 in Utah and Bears Ears, New Mexico.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092020.26912.1", "modified": "2020-10-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "utah", "new mexico", "woodlands", "ecosystem", "NCALM" ], "spatial": "-110.2,37.34,-109.84,37.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90C4SZ9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Salsipuedes-Punta Morro, Baja California, Mexico 2014", "description": "This airborne LiDAR dataset collected by NCALM, covers two sites. Site one is a coastal strip (4.5 x 0.4 km) of Salsipuedes Bay, in Baja California, Mexico. It is centered on km 93 of the Ensenada-Tijuana Scenic Highway 1D traversing sea cliffs with steep slopes, cutting exhumed marine sediments of the Rosario formation that are capped in part by the basaltic Rosarito Beach formation. On the night of December 27, 2013, a 220m long segment of the highway, at km 93, started to slide down towards the ocean. The movement continued for several hours until it stabilized the following day after, having displaced a volume close to 300 x 103 m3 of sandstone 35m down and 25m towards the Pacific Ocean. It took almost a year to repair this massive landslide and reestablish traffic through the main gateway to the Baja California Peninsula. This dataset was collected 186 days after the landslide when reconstruction was already taking place. Site two is Punta Morro, where Ensenada's science cluster is located, hosting CICESE, UNAM and UABC campuses.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082020.26911.1", "modified": "2020-08-31", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Salsipuedes Bay", "CICESE", "Punta Morro", "Baja California", "lidar", "NCALM" ], "spatial": "-116.76,31.86,-116.65,31.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FQ9TSV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Post Hurricane Harvey Mapping of the Mission River, Texas 2018", "description": "This lidar dataset was collected as part of an NCALM Rapid Response Project for Inci Gunerlap at Texas A&M University. Data collection covers and area of ~69 km2 along the Mission River in Refugio, Texas after Hurricane Harvey. Note that this project utilized three laser channels during its data collection. Each of the returns contained on the LAS tiles are encoded with a laser channel value. The values used are 1 (1550 nm), 2 (1064 nm), and 3 (532 nm), and are stored in the \"User Data\" record of the Point Data records in the LAS file.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082020.6343.1", "modified": "2020-08-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "texas", "hurricane", "harvey", "Mission River", "Rapid Response", "hyperspectral", "532 nm", "1550 nm", "1064 nm", "NCALM" ], "spatial": "-97.31,28.21,-97.24,28.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MG7MPD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Measuring Variations in Bedrock Cliff Morphologies, Idaho 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Nate Mitchell at Indiana University, Bloomington. This study measures variations in bedrock cliff morphologies with fracture density and incision rate along a transient stream. The study area covers approximately 56 km2 along Boulder Creek, northwest of Salmon, Idaho.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082020.6341.1", "modified": "2020-08-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Idaho", "bedrock", "fracture", "incision rate", "boulder creek", "NCALM" ], "spatial": "-114.4,45.35,-114.26,45.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GQ6VZP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Canterbury, New Zealand 2018-2019", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys New Zealand in March 2018 through to May 2019. The dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area includes Amuri Plain, Ashburton, Fairlie Foothills, Pegasus, Motunau, Selwyn North, Selwyn South and Waimate. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.082020.2193.1", "modified": "2020-08-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "amuri plain", "ashburton", "fairlie foothills", "pegasus", "motunau", "selwyn north", "selwyn south", "waimate", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "170.69,-44.95,173.12,-42.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92N50FT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Meandering Channels in Death Valley, CA 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Madison Douglas at the California Institute of Technology. This study uses meandering channels in Death Valley to determine the role of bank cohesion for un-vegetated rivers. The study area covers approximately 72 km 2 near South Death Valley, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.6340.2", "modified": "2020-07-29", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "Death Valley", "channels", "rivers", "bank cohesion", "NCALM" ], "spatial": "-116.84,35.99,-116.74,36.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96D5R55", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Marsden Point, Northland, New Zealand 2016", "description": "Lidar was captured for Land Information New Zealand by Aerial Surveys in November 2016. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Marsden Point and the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072020.2193.5", "modified": "2020-07-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "marsden point", "northland", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.45,-35.86,174.5,-35.83", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B56GWG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Post-fire Debris Flows in Santa Monica Mountains, CA 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Kirk Townsend at the University of Michigan. This study examines the role of extreme events in setting the pace and magnitude of landscape change with post-fire debris flows in the Santa Monica Mountains of Southern California. The study area covers approximately 60 km 2 near Zuma Creek, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.32611.1", "modified": "2020-07-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "debris flow", "California", "Santa Monica", "post-fire", "landscape change", "NCALM" ], "spatial": "-118.85,34.02,-118.77,34.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MK6B2P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hamilton, Waikato, New Zealand 2019", "description": "Lidar was captured for Hamilton City Council by Aerial Surveys between 3 November 2019 to 5 November 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Hamilton City and Ngaruawahia and the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072020.2193.4", "modified": "2020-07-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hamilton", "ngaruawahia", "waikato", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "175.13,-37.89,175.39,-37.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9891410", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Motueka River Valley, Tasman, New Zealand 2018-2019", "description": "Lidar was captured for Tasman District Council by Aerial Surveys between 15 November 2018 to 13 February 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes the Motueka River Valley, Betty's Beach and Eve's Valley. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072020.2193.3", "modified": "2020-07-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "betty's beach", "eve's valley", "motueka river valley", "tasman", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.61,-41.49,173.09,-41.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D21VRX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Change Detection of Post-fire Runoff Events, CA 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for James Guilinger at the University of California, Riverside. This study investigated source attribution of eroded sediments from post-fire runoff events using nested scales of sequential change detection. The study area covers approximately 61 km 2 near Leach Canyon in the Santa Ana Mountains of California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.6340.1", "modified": "2020-07-15", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "erosion", "sediments", "post-fire", "change detection", "Santa Ana Mountains", "NCALM" ], "spatial": "-117.49,33.64,-117.38,33.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HT2MGB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Study in Erosion Response: Horse Linto, CA 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Miles Reed at Central Michigan University. The goal of the study was to determine the chemical erosion response to transient physical erosion along the path of a migrating knickpoint. The study area covers approximately 63 km 2 near Horse Linto, in Trinity National Forest, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.6339.2", "modified": "2020-07-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "erosion", "knickpoint", "chemical erosion", "horse linto", "California", "Trinity National Forest", "NCALM" ], "spatial": "-123.53,40.97,-123.41,41.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NK3C62", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lassen Volcanic National Park, CA 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Thomas Herbst at the University of Missouri. This project explored Lava Domes, and mapped a portion of the Lassen Volcanic Center in Lassen Volcanic National Park, California. The dataset was collected in 2019 and covers roughly 55 km 2Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.6339.1", "modified": "2020-07-10", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "lava dome", "Lassen Volcanic National Park", "California", "NCALM" ], "spatial": "-121.55,40.44,-121.46,40.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SB43XC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Normal Fault Comparisons, Utah 2019", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Alba Mar Rodriguez Padilla at the University of California, Davis. The goal of the study was to constrain rheology from lidar based comparisons of seismogenic versus creeping normal faults. The study area covers approximately 70 km 2 near Needles Fault, in Canyonlands National Park, Utah.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072020.6341.1", "modified": "2020-07-10", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "normal fault", "rheology", "seismogenic", "utah", "needles", "Canyonlands National Park", "NCALM" ], "spatial": "-109.97,38.04,-109.86,38.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X34VNQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2014 USFS Tahoe National Forest Lidar", "description": "High Density LiDAR was flown for the majority of the Tahoe National Forest over two seasons (early snow fall in 2013 required a seasonal pause in the acquisition) to help inform a variety of metrics for USFS assessments including vegetation, fuels, hydrology, and geology.This dataset includes data collected in the 2014 season. For 2013 data, click here. Note: One flight swath was missed during the 2013 collection campaign, resulting in a lower point density in that area. The swath was flown in 2014, but is included in neither this nor the 2013 data provided through OpenTopography's services. You may still download this point cloud file in the bulk download section here.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032017.26910.2", "modified": "2017-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tahoe National Forest", "Sierra County", "Yuba County", "Nevada County", "Placer County", "Truckee", "lidar", "NCALM" ], "spatial": "-121.18,38.93,-120.0,39.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V122Q1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Auckland North, New Zealand 2016-2018", "description": "Lidar was captured for Auckland Council by Aerial Surveys between August 2016 to August 2018. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Auckland CBD, Great Barrier Island, Little Barrier Island, North Shore, Waiheke Island, Wellsford, Whangaparaoa, Whatipu, as well as the surrounding area. Data management and distribution is by Toit\u016b Te Whenua Land Information New Zealand", "identifier": "OT.072020.2193.2", "modified": "2020-07-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "auckland", "great barrier island", "little barrier island", "north shore", "waiheke island", "wellsford", "whangaparaoa", "whatipu", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.15,-37.06,175.56,-36.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92R3PVR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Balclutha, Otago, New Zealand 2020", "description": "Lidar was captured for Otago Regional Council by Landpro between 16 to 18 January 2020. The dataset was generated by Landpro. The survey area includes Balclutha, Kaitangata and Kaka Point, as well as the surrounding Clutha Delta area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072020.2193.1", "modified": "2020-07-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "balclutha", "kaitangata", "kaka point", "otago", "south island", "new zealand", "linz", "landpro", "lidar" ], "spatial": "169.63,-46.39,169.92,-46.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C827G1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bay of Plenty, New Zealand 2018-2019", "description": "Lidar was captured for BOPLASS Limited by AAM New Zealand between December 2018 and April 2019. The dataset was generated by AAM New Zealand and their subcontractors. The survey area includes Tauranga, Rotorua and Whakatane and the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.062020.2193.1", "modified": "2020-07-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "rotorua", "tauranga", "whakatane", "bay of plenty", "north island", "new zealand", "linz", "aam", "lidar" ], "spatial": "175.85,-38.47,177.3,-37.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J101B4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southern California Bedrock Landscapes 2015 Airborne Lidar", "description": "This 2015 airborne lidar dataset covers the eastern San Gabriel Mountains and northern San Jacinto Mountains, California. The goal of this project was to characterize the morphology of steep hillslopes in southern California to understand how bedrock fracturing controls landscape evolution. The survey area covers approximately 143 km2 in the San Gabriel Mountains and 183 km2 in the San Jacinto Mountains.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062020.6340.1", "modified": "2020-06-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "California", "San Gabriel Mountains", "San Jacinto Mountains", "airborne", "NCALM" ], "spatial": "-117.66,33.72,-116.6,34.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J38QPM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Interpreting Fluvial Processes from Channel-Belt Deposits, Utah 2018", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Cole Speed at the University of Texas. This goal of this project was to be able to interpret fluvial processes from the ancient rock record by linking geomorphology to stratigraphy using 3-D outcrops of exhumed channel-belt deposits in eastern Utah. The survey area covers approximately 58.25 km2 .Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052020.6341.1", "modified": "2020-05-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "utah", "channel", "deposits", "fluvial", "NCALM" ], "spatial": "-110.33,38.85,-110.16,38.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J964J3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Agua Blanca Fault, Baja California, Mexico.", "description": "This airborne lidar dataset covers a 68 x 1.5 km corridor along the northwest-trending central-western sections of the Agua Blanca Fault (ABF) in northern Baja California, Mexico. The ABF accommodates right-lateral Pacific-North American plate boundary deformation across the Peninsular Ranges of Baja California between the western escarpment of the Gulf of California and the Pacific coast. The data were collected by the National Center for Airborne Laser Mapping (NCALM); collection was jointly financed by Department of Geological Sciences, Jackson School of Geosciences, University of Texas at Austin (UTA) and the Earth Sciences Division of the Centro de Investigaci\u00f3n Cient\u00edfica y de Educaci\u00f3n Superior de Ensenada, Baja California (CICESE). Project PI\u0092s were Jose Romo, John Fletcher and Alejandro Hinojosa of CICESE and Whitney Behr and Peter Gold of UT Austin.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042020.26911.1", "modified": "2020-04-29", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Agua Blanca Fault", "Baja California", "Mexico", "lidar", "NCALM" ], "spatial": "-116.62,31.44,-116.08,31.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VQ30TT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography over Gabilan Mesa, CA 2003", "description": "Airborne lidar collection to study the formation of evenly spaced ridges and valleys over the Gabilan Mesa in California. Further details can be found in the publication: Perron, J. Taylor, James W. Kirchner, and William E. Dietrich. \"Formation of evenly spaced ridges and valleys.\" Nature 460.7254 (2009): 502-505. https://doi.org/10.1038/nature08174Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042020.26910.1", "modified": "2020-04-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "mesa", "california", "gabilan", "lidar", "NCALM" ], "spatial": "-120.86,35.89,-120.69,36.01", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G947481V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topographic Data Set: Klamath River, California 2018", "description": "This 2018 Klamath River data set was a multi-agency collaboration to collect pre-dam removal topography and imagery across the rivers 260 mile corridor. Airborne topo-bathymetric LiDAR, boat based multi-beam sonar, and aerial imagery was collected from the mouth at estuary to the head waters near Klamath Lake in Oregon. This comprehensive baseline data set will help inform the scientific and restoration community to more thoroughly understand the effects of dam removal, quantitatively measure sediment transport evolution, and to help monitor the biological and physical response of a new free flowing Klamath River. For direct download of ancillary raster products for the Klamath River click here For direct download of the orthomosaic for the entire Klamath River click here", "identifier": "OT.042020.6339.1", "modified": "2020-04-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Klamath", "California", "Oregon", "Yurok", "dam", "lidar" ], "spatial": "-124.08,41.18,-121.77,42.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DN436N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography near Santa Cruz, CA 2017", "description": "This lidar dataset was collected by the National Center for Airborne Laser Mapping (NCALM) for Alison Duvall at the University of Washington. The survey area consists of a single polygon located Northwest of Watsonville, California . The survey area covers approximately 45 km2 Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042020.6339.2", "modified": "2020-04-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "california", "ncalm", "high resolution", "topography", "NCALM" ], "spatial": "-121.94,37.01,-121.83,37.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FN14B1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Palmerston North, Manawatu-Whanganui, New Zealand 2018", "description": "Lidar was captured for Palmerston North City Council by AAM New Zealand between August and September 2018. The dataset was generated by AAM New Zealand and their subcontractors. The survey area includes city of Palmerston North, Ashhurst, Longburn and the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Palmerston North, Manawatu-Whanganui, New Zealand 2018 Digital Elevation Model Palmerston North, Manawatu-Whanganui, New Zealand 2018 Digital Surface Model Palmerston North, Manawatu-Whanganui, New Zealand 2018 Raster Tile Index", "identifier": "OT.022020.2193.2", "modified": "2020-02-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ashhurst", "longburn", "palmerston north", "manawatu-whanganui", "north island", "new zealand", "linz", "aam", "lidar" ], "spatial": "175.49,-40.54,175.79,-40.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95B00M0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Christchurch and Ashley River, Canterbury, New Zealand 2018-2019", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys between July 2018 to March 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Christchurch City and the Ashley River, as well as the surrounding area. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Elevation Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Digital Surface Model Christchurch and Ashley River, Canterbury, New Zealand 2018-2019 Raster Tile Index", "identifier": "OT.022020.2193.3", "modified": "2020-02-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ashley river", "christchurch", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.39,-43.68,172.82,-43.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91J97WQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Huntly, Waikato, New Zealand 2015-2019", "description": "Lidar was captured for Waikato Regional Council by Aerial Surveys between February 2015 to January 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey areas include Huntly, Port Waikato, and the Hauraki Plains. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.022020.2193.1", "modified": "2020-02-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hauraki plains", "huntly", "port waikato", "waikato", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.68,-37.59,175.65,-37.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FT8J6K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA Post-Earthquake Lidar Collection", "description": "Airborne lidar survey of surface ruptures and ground failure features associated with the 4 and 5 July 2019 Ridgecrest Earthquake sequence. As of 06/12/2020: This new release adds data over Naval Air Weapons Station China Lake and now covers the main surface fault ruptures of both the M 6.4 and M 7.1 Ridgecrest earthquake sequence. In addition, all data have now been classified by NCALM For additional information about this dataset see: Hudnut, K.W., B. Brooks, K. Scharer, J.L. Hernandez, T.E. Dawson, M.E. Oskin, R. Arrowsmith, C.A. Goulet, K. Blake, M.L. Boggs, S. Bork, C.L. Glennie, J.C. Fernandez-Diaz, A. Singhania, D. Hauser, S. Sorhus (2020), Airborne Lidar and Electro-Optical Imagery Along Surface Ruptures of the 2019 Ridgecrest Earthquake Sequence, Southern California, in press, Seismological Research Letters (preprint available upon request) Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012020.32611.1", "modified": "2020-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ridgecrest", "Earthquake", "Surface Rupture", "CA", "California", "lidar", "NCALM" ], "spatial": "-117.79,35.53,-117.33,35.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W0942Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Auckland South, New Zealand 2016-2017", "description": "Lidar was captured for Auckland Council by AAM New Zealand between September 2016 through to June 2017. The original dataset was generated by AAM New Zealand and their subcontractors. The survey area covers the southern Auckland suburbs and regions. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.122019.2193.2", "modified": "2020-01-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "moumoukai", "grahams beach", "orere point", "waiuku", "pukekohe", "papakura", "manurewa", "otahuhu", "papatoetoe", "auckland", "north island", "new zealand", "linz", "aam", "lidar" ], "spatial": "174.51,-37.3,175.31,-36.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KP8095", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lake Isabella Lidar Collection, CA 2015", "description": "Airborne LiDAR data was acquired by CRREL on 21 August 2015 over Lake Isabella and the Lake Isabella Dam, California as part of a coincident regional study. These data were collected using an airborne laser scanning (ALS) system comprised of a Riegl Q680i full-waveform LiDAR sensor, an Applanix POS AV INS system, and custom designed hardware and aircraft integration components. The system was installed in a Partenavia P.68, with an average collection AGL of 2,600' and airspeed of 90 knots. A total of 19-flight-lines were collected during a single flight, with 50% overlap of laser swath coverage, given a 60 deg across track field-of-view.", "identifier": "OT.122019.2229.2", "modified": "2019-12-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CRREL", "lidar", "Lake Isabella", "California", "floodplain", "dam" ], "spatial": "-118.5,35.62,-118.38,35.73", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SF2TBQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kern Canyon Lidar Collection, CA 2008", "description": "Between September 2008 and September 2009, data were collected along the Kern Canyon fault starting south-east of Bakersfield and extending north to the southern end of Kings Canyon National Park. This dataset has helped identify late Quaternary deformation, and other seismogenic processes that are occurring within this section of the Sierra Nevadas. In addition, lidar derived topographic data was used for interpretation, analysis and mapping of floodplains along Isabella Lake, as well as the Kern River and its tributaries. For additional information about this dataset and related geologic investigations, see: C.C. Brossy, K.I. Kelson, C.B. Amos, J.N. Baldwin, B. Kozlowicz, D. Simpson, M.G. Ticci, A.T. Lutz, O. Kozaci, A. Streig, R. Turner, R. Rose; Map of the late Quaternary active Kern Canyon and Breckenridge faults, southern Sierra Nevada, California. Geosphere ; 8 (3): 581:591. doi: https://doi.org/10.1130/GES00663.1", "identifier": "OT.122019.2229.1", "modified": "2019-12-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kern Canyon", "Fault", "floodplain", "dam", "Lake Success", "california", "lidar" ], "spatial": "-118.75,35.18,-118.3,36.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X34VM8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2013 USFS Tahoe National Forest Lidar", "description": "High Density LiDAR was flown for the majority of the Tahoe National Forest over two seasons (early snow fall in 2013 required a seasonal pause in the acquisition) to help inform a variety of metrics for USFS assessments including vegetation, fuels, hydrology, and geology.This dataset includes data collected in the 2013 season. For 2014 data, click here. Note: One flight swath was missed during the 2013 collection campaign, resulting in a lower point density in that area. The swath was flown in 2014, but is included in neither this nor the 2014 data provided through OpenTopography's services. You may still download this point cloud file in the bulk download section here.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032017.26910.1", "modified": "2017-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tahoe National Forest", "Sierra County", "Yuba County", "Nevada County", "Placer County", "Truckee", "lidar", "NCALM" ], "spatial": "-121.07,38.98,-120.26,39.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZS2TF2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Whangarei Heads, Northland, New Zealand 2016", "description": "Lidar was captured for Land Information New Zealand by Aerial Surveys in November 2016. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Parua Bay, Taurikura, Urquharts Bay and Whangarei Heads, as well as the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.122019.2193.1", "modified": "2019-12-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "parua bay", "taurikura", "urquharts bay", "whangarei heads", "northland", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.38,-35.86,174.59,-35.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91V5C3N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Thames, Waikato, New Zealand 2017-2019", "description": "Lidar was captured for Waikato Regional Council by Aerial Surveys between 2017 and 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Thames Township and the surrounding area. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.112019.2193.2", "modified": "2019-11-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "thames", "waikato", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "175.53,-37.39,175.69,-37.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MS3QWX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Reporoa and Upper Piako River, Waikato, New Zealand 2019", "description": "Lidar was captured for Lincoln Agritech Limited by Aerial Surveys in April 2019. The dataset was generated by Aerial Surveys and their subcontractors. The survey area includes Reporoa Township and the surrounding area as well as the Upper Piako River Catchment. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.112019.2193.1", "modified": "2019-11-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "reporoa", "upper piako river", "waikato", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "175.59,-38.47,176.52,-37.68", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SJ1HQK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Paleo-Outburst Floods in the Truckee River Canyon, CA", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Scott Feehan at the University of Nevada, Reno. This project was designed to quantify the geomorphic effectiveness of paleo-outburst floods in the Truckee River Canyon, CA. The survey area covers approximately 92.99 km2 .Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102019.6339.2", "modified": "2019-11-06", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "SEED", "flood", "Truckee", "Geomorphic", "paleo outburst", "NCALM" ], "spatial": "-120.29,39.16,-120.01,39.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X928F9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Alteration of Groundwater Flow due to Slow Landslide Failure, CA", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Colleen Murphy at the University of California, Santa Cruz. This project was designed to understand the alteration of groundwater flow due to slow landslide failures. The survey area covers approximately 38 km2 east of Milpitas, CA.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102019.6339.1", "modified": "2019-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "california", "groundwater", "landslide", "NCALM" ], "spatial": "-121.77,37.43,-121.73,37.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SQ8XJP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA: Trona-Argus Area - Post-Earthquake Lidar", "description": "Airborne lidar survey of surface ruptures and ground failure features associated with the 4 and 5 July 2019 Ridgecrest Earthquake sequence. This dataset covers the non-tectonic Trona Pinnacles & Argus surface disturbance area. This region is not along the primary tectonic surface rupture , but was collected as part of a larger data collect which covers the areas impacted by the Ridgecrest earthquake. For additional information about this dataset see: Hudnut, K.W., B. Brooks, K. Scharer, J.L. Hernandez, T.E. Dawson, M.E. Oskin, R. Arrowsmith, C.A. Goulet, K. Blake, M.L. Boggs, S. Bork, C.L. Glennie, J.C. Fernandez-Diaz, A. Singhania, D. Hauser, S. Sorhus (2020), Airborne Lidar and Electro-Optical Imagery Along Surface Ruptures of the 2019 Ridgecrest Earthquake Sequence, Southern California, in press, Seismological Research Letters (preprint available upon request) Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102019.32611.1", "modified": "2019-10-15", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Southern California", "Ridgecrest Earthquake", "lidar", "Pinnacles", "Trona", "surface rupture", "NCALM" ], "spatial": "-117.41,35.6,-117.35,35.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97W69C0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Ecosystem Structure in Hetereogeneous Restored Wetlands, CA 2018", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Kyle Hemes at the University of California, Berkeley. This project was designed to understand ecosystem structure as a driver of climatic, habitat, and hydrological services in heterogeneous restored wetlands. The survey area covers Sherman, Twitchell, and Bouldin islands in California for a total of approximately 63 km2Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092019.26910.1", "modified": "2019-09-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wetlands", "lidar", "ecosystem", "Sherman Island", "California", "climate", "NCALM" ], "spatial": "-121.81,38.03,-121.48,38.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZK5DT3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point Classification for Hazard Applications: Mammoth Lakes, CA", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Rob Sare at Stanford University. The project was designed to obtain point classification using multispectral lidar and SfM for earthquake and volcano hazards applications. The survey area covers two separate regions - Horseshoe Lake and Hilton Creek Fault near Mammoth Lakes, CA.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092019.26911.1", "modified": "2019-09-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "mammoth lakes", "california", "earthquake", "volcano", "hazards", "multispectral", "Structure from motion", "NCALM" ], "spatial": "-119.04,37.54,-118.77,37.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TT4P3S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Control of steepland landscape morphology in Idaho Batholith", "description": "This lidar dataset was collected as part of an NCALM Seed grant for William Struble at the University of Oregon. This project was designed to understand the control of steepland landscape morphology by debris flows in the Idaho Batholith. The survey area covers roughly 73 km 2 near Cascade, IDPublications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092019.6340.1", "modified": "2019-09-06", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "batholith", "landscape", "morphology", "lidar", "debris", "flow", "NCALM" ], "spatial": "-115.89,44.29,-115.75,44.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98050QQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping the Kaibab Plateau, AZ", "description": "The purpose of this acquisition was to provide LiDAR data for portions of the Kaibab National Forest and Grand Canyon National Park on the Kaibab Plateau, in support of ongoing studies of Northern Goshawk demographics. 3Di West, through its subcontractor Watershed Sciences Incorporated (WSI), acquired LiDAR data for over 450,000 acres in the summer of 2012.", "identifier": "OT.082019.26912.1", "modified": "2019-08-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Arizona", "Kaibab Plateau", "Northern Goshawk", "Grand Canyon", "National Forest", "USFS", "lidar", "DSM", "DTM" ], "spatial": "-112.41,36.12,-111.9,36.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TX3CH3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Mapping of Antelope Valley Ranch, CA.", "description": "Data was collected in March 2017 for high resolution mapping of Antelope Valley Ranch - 60 km west of Yuba City, CA. Data was collected by NCALM for William Dietrich at the University of California. Approximately 28 km2 of high resolution data were collected for this project.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072019.6339.2", "modified": "2019-07-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "high resolution", "mapping", "antelope valley", "california", "ca", "dimac", "NCALM" ], "spatial": "-122.38,39.12,-122.31,39.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QC01MQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Marlborough, New Zealand 2018", "description": "Lidar was captured for Marlborough District Council by AAM New Zealand in May 2018 through to Sep 2018. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area covers the Flaxbourne River, Lake Grassmere, Seddon, Lower Awatere Valley, Picton, Waikawa, Wairau Valley and Plains, including Spring Creek, Tuamarina and parts of Blenheim. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.072019.2193.1", "modified": "2019-07-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Flaxbourne river", "lake grassmere", "seddon", "lower awatere valley", "picton", "waikawa", "wairau plains", "wairau valley", "spring creek", "tuamarina", "blenheim", "marlborough", "south island", "new zealand", "linz", "aam", "lidar" ], "spatial": "173.29,-41.93,174.21,-41.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91R6NNG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution Mapping of Goat Rock Volcano, WA", "description": "Data was collected in September 2018 for 3-D high resolution geologic mapping of the Goat Rocks Volcano in Washington State. This collection was part of a 2017 Seed Project for Kellie Wall at Oregon State University. Approximately 67 km2 of high resolution data were collected for this project.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072019.6339.1", "modified": "2019-07-15", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "washington", "goat rocks", "volcano", "geology", "mapping", "NCALM" ], "spatial": "-121.47,46.45,-121.31,46.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95H7DC6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Manawatu - Whanganui, New Zealand 2015-2016", "description": "This is a reprocessed dataset of the Manawatu-Whanganui 2015 LiDAR Project. It was re-supplied by Aerial Surveys for Land Information New Zealand, and includes peripheral data not part of the original survey obtained by Horizons (Manawatu-Wanganui) Regional Council. The survey area includes Bulls, Ohura, parts of Fielding and Marton. These datasets were generated by Aerial Surveys and their subcontractors. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.052019.2193.1", "modified": "2019-05-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "marton", "bulls", "fielding", "manawatu", "ohura", "whanganui", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.76,-40.73,176.05,-38.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G44NDD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Erosion and sedimentation within the Kern River Canyon, CA", "description": "This lidar dataset was collected for William Krugh at California State University, Bakersfield as part of the Center for Climate and Natural Resource Solutions for Water-limited Regions project. This project is part of NSF's Center for Research Excellence in Science and Technology (CREST) program. Roughly 252 km2 of data were collected over the Kern River Canyon east of Bakersfield, CA.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052019.6340.1", "modified": "2019-05-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "sierra nevada", "sedimentation", "erosion", "water", "california", "NCALM" ], "spatial": "-118.86,35.4,-118.44,35.66", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95Q4T79", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2015-2017 State of Utah Lidar Acquisition", "description": "The 2015-2017 State of Utah Lidar Acquisition project includes portions of Bear Lake in Utah and Idaho, the Bear River, Cache Valley, Utah FORGE Project, Great Salt Lake, Minidoka National Wildlife Refuge (Idaho), Monroe Mountain, Utah Lake, Washington County, Washakie, Weber Valley, and the Whites Valley areas in Utah and the Colorado and Green River corridors in Utah. Project specifications are based on the U.S. Geological Survey National Geospatial Program Base Lidar Specification, Version 1.4.", "identifier": "OT.092018.6341.1", "modified": "2019-01-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "utah", "idaho", "minidoka", "bear lake", "bear river", "cache valley", "canyons", "forge", "great salt lake", "utah lake", "millsite", "monroe mt", "small sites", "thomas fork", "washington county", "weber valley", "whites valley", "washakie", "lidar" ], "spatial": "-113.92,36.99,-108.49,42.71", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RV0KSQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quantifying rock strength controls in Guadalupe Mountains, NM/TX", "description": "This lidar dataset was collected as part of an NCALM Seed grant for Alexander Neely, Penn State University. Roughly 63 square kilometers of data was collected in June of 2018 in the Guadalupe Mountains in New Mexico and Texas. This project was designed to quantify rock strength controls on landscape morphology within the Guadalupe Mountains.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042019.6342.2", "modified": "2019-04-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "New Mexico", "Texas", "Guadalupe Mountains", "strength", "morphology", "NCALM" ], "spatial": "-104.86,31.94,-104.73,32.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BK19G8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "3D Landscape Reconstruction and Land Use Modeling, Chaco Canyon, NM 2016", "description": "This dataset, located within Chaco Canyon, New Mexico was collected by NCALM for Dr. Wetherbee Dorshow and Dr. Wirt Wills to help reconstruct the three dimensional landscape as well as model land use at Chaco Canyon, New Mexico. The survey area totaled approximately 543 km2. NOTE: NCALM reprocessed this dataset with updated Optech LMS software, and this newly reprocessed version was released via OpenTopography on June 8th 2021.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042019.6342.1", "modified": "2019-04-05", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "New Mexico", "Chaco Canyon", "landscape", "land use", "3D modeling", "NCALM" ], "spatial": "-108.16,35.93,-107.63,36.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XG9P8D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Canterbury, New Zealand 2016-2017", "description": "Lidar was captured for Environment Canterbury Regional Council by AAM New Zealand in Nov 2016 through to Jan 2017. The original dataset were generated by AAM New Zealand and their subcontractors. The survey area includes Ashburton, Lower Rangitata, Darfield, Hakataramea, Methven, Moeraki, Omarama, Otematata, Rakaia, Rolleston, Tekapo, Waimate. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Canterbury, New Zealand Digital Elevation Model 2016-2017 Canterbury, New Zealand Digital Surface Model 2016-2017", "identifier": "OT.032019.2193.1", "modified": "2019-03-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ashburton", "darfield", "hakataramea", "methven", "moeraki", "omarama", "otematata", "rakaia", "rangitata", "rolleston", "waimate", "tekapo", "canterbury", "south island", "new zealand", "linz", "aam", "lidar" ], "spatial": "169.78,-45.37,172.65,-43.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9707ZJH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping of Displacements Near Parkfield, California", "description": "This collection of ALSM data near Parkfield, California was collected as an NCALM Seed grant for Michael Vadman, Virginia Tech University. This dataset provides an opportunity to create a time-series of spatially-dense displacement measurements across the creeping/transitional portion of the San Andreas fault extending from 1929 to the present. The targeted portion of the fault has experienced fairly regular M5-6 earthquakes since the ~M7.9 1857 Fort Tejon earthquake, which ruptured from Parkfield to San Bernardino.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032019.32610.1", "modified": "2019-03-14", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "fault", "california", "San Andreas", "airborne", "mapping", "laser", "NCALM" ], "spatial": "-120.54,35.79,-120.32,35.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HD7SRR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping of San Gabriel Mountains, CA 2009 Fire", "description": "Survey conducted by NCALM for investigators Arjun Heimsath and Kelin Whipple, Arizona State University; Michael Lamb, California Institute of Technology; and Ken Hudnut, U.S. Geological Survey, through funding from their institutions to investigate tectonics and geomorphology of the San Gabriel Mountains, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012019.26911.1", "modified": "2019-01-31", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "fire", "california", "San Gabriel Mountains", "airborne", "mapping", "laser", "NCALM" ], "spatial": "-118.29,34.17,-117.73,34.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92N4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Otago, New Zealand 2016", "description": "Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016. The original datasets were generated by Aerial Surveys and their subcontractors. The survey areas includes Cardrona Township, Molyneux, Mosgiel, Oamaru, Taranui, Taieri Plains, parts of the Waitaki Basin and the Kakanui, Kauru, Manuherikia, Pomahaka, Shag and Waianakarua rivers. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.012019.2193.2", "modified": "2019-01-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "cardrona", "molyneux", "mosgiel", "oamaru", "taranui", "taieri plains", "waitaki basin", "otago", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "168.88,-46.39,171.15,-44.68", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F47M7K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Queenstown, Otago, New Zealand 2016", "description": "Lidar was captured for Otago Regional Council by Aerial Surveys in Mar 2016 and Apr 2016. The original datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Queenstown, Arrowtown, Frankton and Lake Hayes. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service: Queenstown, Otago Digital Elevation Model Queenstown, Otago Digital Surface Model", "identifier": "OT.012019.2193.1", "modified": "2019-01-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "queenstown", "arrowtown", "frankton", "otago", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "168.61,-45.14,168.93,-44.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QJ7FDC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mackenzie, Canterbury, New Zealand 2015", "description": "Lidar was captured for Genesis Energy Limited by Aerial Surveys in Feb 2015. The original dataset was generated by Aerial Surveys New Zealand and their subcontractors. The survey area is in the Mackenzie District of Canterbury, between Lake Tekapo, Lake Pukaki, Lake Ohau and Lake Ruataniwha. This area also includes Twizel Township. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.112018.2193.1", "modified": "2018-11-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lake pukaki", "lake tekapo", "lake ruataniwha", "twizel", "mackenzie", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "169.91,-44.46,170.49,-44.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99G5JWQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Eagle Creek Fire Area in the Columbia River Gorge, Oregon", "description": "This data sets maps the area affected by the Eagle Creek Wildfire in the Columbia River Gorge, Oregon. Datasets were collected in May 2018 by the National Center for Airborne Laser Mapping (NCALM) as part of a project for Dr. Joshua Roering at the University of Oregon. The survey area covers approximately 309 square kilometers of land affected by the wildfire.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112018.26910.1", "modified": "2018-11-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "fire", "columbia river gorge", "oregon", "eagle creek", "airborne", "mapping", "laser", "NCALM" ], "spatial": "-122.21,45.54,-121.7,45.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M043H0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Richmond and Motueka, Tasman, New Zealand 2015", "description": "Lidar was captured for Tasman District Council by AAM New Zealand in Nov 2015. The dataset was generated by AAM New Zealand and their subcontractors. The survey area includes coastal areas from Motueka in the North to Richmond in the South, including inland Wakefield. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service Richmond and Motueka Digital Elevation Model Richmond and Motueka Digital Surface Model", "identifier": "OT.082018.2193.2", "modified": "2018-08-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "motueka", "mapua", "richmond", "wakefield", "tasman", "south island", "new zealand", "linz", "aam", "lidar" ], "spatial": "172.94,-41.44,173.26,-41.06", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92B8W34", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Abel Tasman and Golden Bay, Tasman, New Zealand 2016", "description": "Lidar was captured for Tasman District Council by AAM New Zealand in Dec 2016. The original dataset was generated by AAM New Zealand and their subcontractors. The survey area includes coastal areas from Onekaka in the North, to Riwaka in the South. Data management and distribution is by Land Information New Zealand (LINZ). Prepared DEM and DSM files are available through the LINZ Data Service Abel Tasman and Golden Bay Digital Elevation Model Abel Tasman and Golden Bay Digital Surface Model", "identifier": "OT.082018.2193.1", "modified": "2018-08-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "onekaka", "riwaka", "abel tasman", "golden bay", "tasman", "south island", "new zealand", "linz", "aam", "lidar" ], "spatial": "172.69,-41.11,173.07,-40.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BR8Q8X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Blenheim, Marlborough, New Zealand 2014", "description": "Lidar was captured for Marlborough District Council by New Zealand Aerial Mapping (NZAM) in Feb and May 2014. The original datasets were generated by NZAM and their subcontractors. The reprocessing to NZVD2016 was done by AAM New Zealand. The survey area includes Blenheim, the Wairau valley region and the lower Awatere river corridor. Data management and distribution is by Land Information New Zealand (LINZ). Prepared DEM and DSM files are available through the LINZ Data Service Blenheim Digital Elevation Model Blenheim Digital Surface Model", "identifier": "OT.072018.2193.1", "modified": "2018-07-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "blenheim", "wairau", "awatere", "marlborough", "south island", "new zealand", "linz", "new zealand aerial mapping", "lidar" ], "spatial": "173.6,-41.68,174.17,-41.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WH2MXG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Reynolds Creek Critical Zone Observatory 2015 Post-Soda Fire Lidar", "description": "These data were acquired in October 2015 after the Soda Fire burned approximately 280,000 acres of sagebrush steppe in the northern portion of the Reynolds Creek Experimental Watershed, Owyhee County, Idaho in August of that year. This dataset was collected for Kathleen Lohse, Idaho State University, Department of Biological Sciences, and Mark Seyfried, USDA-ARS Northwest Watershed Research Center. The requested survey area is located approximately 55 km southwest of Boise, ID. The polygon encloses approximately 150 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072018.6340.1", "modified": "2018-07-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "critical zone observatory", "czo", "owyhee county", "soda fire", "idaho", "lidar", "NCALM" ], "spatial": "-116.88,43.16,-116.67,43.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PK0D73", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar", "description": "This data set is derived from the original 2005 B4 lidar dataset collected over the southern San Andreas and San Jacinto fault zones in southern California, USA. These data have provided a fundamental resource for study of active faulting in southern California since they were released in 2005. However, these data were not classified in a manner that allowed for easy differentiation between bare ground surfaces and the objects and vegetation above that surface. This reprocessed (classified) dataset allows researchers easy and direct access to a \"bare-earth\" digital elevation data set as gridded half-meter resolution rasters (elevation and shaded relief), \"full-feature\" digital elevation models as gridded one-meter resolution rasters (elevation and shaded relief) and as classified (according to ASPRS standards) point clouds in binary .laz format, and a spatial index in shapefile and Google Earth KML format. The reprocessing of the 2005 B4 dataset was performed by Dr. Stephen B DeLong, USGS Earthquake Hazards Program, as a service to the community. The data available here were originally published on the USGS ScienceBase website as Classified point cloud and gridded elevation data from the 2005 B4 Lidar Project, southern California, USA. Original B4 project description: The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. More information about the B4 Project. Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032018.32611.1", "modified": "2018-03-08", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "B4 project", "San Andreas fault", "San Jacinto fault", "California", "lidar", "NCALM" ], "spatial": "-120.64,32.86,-115.61,36.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5066/F7TQ5ZQ6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kilauea Volcano, HI July 2018 Acquisition", "description": "The July 2018 LiDAR data collection over the Kilauea Summit and the Lower East Rift Zone was conducted by the US Army Cold Regions Research & Engineering Lab (CRREL), The University of Houston and the USGS. Funding was provided by the State of Hawaii and the Federal Emergency Management Agency (FEMA). The system utilized was an R44 helicopter based pod which uses a Riegl VQ580i full waveform laser scanner. Total of 9 flights over the course of 5 days (July 8 - 12, 2018). This survey covers portions of Hawaii Volcano National Park on the Big Island of Hawaii as Kilauea volcano continues to erupt in Summer, 2018. The survey area covers approximately 122.4 km2. Dataset obtained from the USGS Kilauea LiDAR website. Please refer to that site for additional information. Version Note: An initial version of this dataset, available from OpenTopography between July 23rd and 27th, 2018, had low classified ground point density due to a processing error. An updated version of the dataset (v.2), reprocessed by the US Army CRREL, was published by OpenTopography on July 30th, 2018 at 19:00 MDT.", "identifier": "OT.072018.6635.1", "modified": "2018-07-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "usgs", "volcano", "hawaii", "ncalm", "crrel", "fema", "lidar", "NCALM" ], "spatial": "-155.31,19.38,-154.8,19.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M32SV1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kilauea Volcano, HI June 2018 Acquisition", "description": "This survey covers portions of Hawaii Volcano National Park on the Big Island of Hawaii. This dataset was contracted by the U.S. Geological Survey (USGS) via Quantum Spatial, Inc., and acquired by GEO1 and Windward Aviation. GEO1 conducted the collection activity using a Windward Aviation Hughes 500 helicopter with a dual LiDAR scanning system that utilized two Riegl VUX-SYS scanners operated as one unit. The dataset was acquired through 11 lifts, and comprises 4 distinct Areas of Interest (AOIs). The survey area covers 105 square kilometers. Dataset obtained from the USGS Kilauea LiDAR website. Please refer to that site for additional information.", "identifier": "OT.062018.6635.1", "modified": "2018-07-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "usgs", "volcano", "hawaii", "lidar" ], "spatial": "-155.3,19.31,-154.88,19.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98K7718", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping of Diamond Fork River, UT 2017", "description": "This dataset, located near Provo, UT, was collected as an NCALM Seed grant for Jabari Jones, Utah State University, Department of Watershed Sciences to map the Diamond Fork River in Utah. The requested survey area is located approximately 25 km southeast of Provo, UT. The polygon encloses approximately 118.8 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062018.26912.2", "modified": "2018-07-02", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "utah", "mapping", "river", "lidar", "NCALM" ], "spatial": "-111.52,40.01,-111.24,40.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94T6G9J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Distribution and Legacy of Large Landslides, San Gabriel Mountains, CA 2017", "description": "This dataset, located within the San Gabriel Mountain, CA was collected as an NCALM Seed grant for Christopher Gentile, University of California Riverside to investigate spatio-temporal distribution and legacy of large landslides in the San Gabriel Mountains, California. The requested survey area totaled approximately 40 km2 while the area actually surveyed totaled approximately 71.6 km2; coverage by the raster for the region provided below corresponds to the requested area while the point cloud dataset coverage corresponds to the surveyed area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062018.26911.1", "modified": "2018-06-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "california", "landslides", "mountains", "lidar", "NCALM" ], "spatial": "-117.67,34.2,-117.58,34.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96T0JK9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "PG&E Diablo Canyon Power Plant (DCPP): Diablo Canyon, CA Central Coast", "description": "The Diablo Canyon Power Plant (DCPP) Lidar and Imagery datasets are comprised of three separate Lidar surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013). The Diablo Canyon project study is located in San Luis Obispo County, California, and encompasses approximately 10,634 acres (43.03 square kilometers). Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data on both the inland and intertidal land within the Diablo Canyon study area on 28 January 2010. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides (between 0.0 ft and peak low of ~ -1.5 ft) and in conjunction with a PDOP value of less than 3.0. This Lidar survey utilized a Leica ALS50 Phase II laser system. The sensor scan angle was \u00b113\u00b0 from nadir with a pulse rate designed to yield an average native density of \u22658 pulses per square meter over terrestrial surfaces. The area of interest was surveyed with an opposing flight line side-lap of \u226550% (\u2265100% overlap) to reduce laser shadowing and increase surface laser painting. This survey was flown as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM and orthophotography raster data are available for this area: Diablo Canyon DEMs and Orthophotos.", "identifier": "OT.022013.26910.2", "modified": "2013-02-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Luis Obispo County", "Diablo Canyon", "California", "PG&E", "Diablo Canyon Power Plant (DCPP)", "lidar" ], "spatial": "-120.91,35.16,-120.75,35.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P26W19", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapping of Hydrothermal Explosion Craters in Yellowstone N.P., WY 2017", "description": "This dataset, located within Yellowstone National Park, WY was collected as an NCALM Seed grant for Louis Garcia, Louisiana State University, Department of Geology & Geophysics to map hydrothermal explosion craters in Yellowstone National Park. The requested survey area is located along the north shore of Yellowstone Lake approximately in the center of the park in northwest Wyoming. The polygon encloses approximately 68.9 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062018.26912.3", "modified": "2018-06-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "wyoming", "mapping", "hydrothermal explosion crater", "lidar", "NCALM" ], "spatial": "-110.37,44.5,-110.24,44.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94T6GDW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Characterizing Forest Structure Changes and Effects on Snowpack, AZ 2017", "description": "This dataset, located near Flagstaff, AZ, was collected as an NCALM Seed grant for Jonathon Donager, Northern Arizona University, School of Earth Sciences & Environmental Sustainability to support an investigation of leveraging terrestrial laser scanning and structure from motion data for characterizing forest structure changes and the effects on snowpack accumulation and persistence. The requested survey area is located approximately 8 km west and north of Flagstaff, AZ within the Coconino National Forest. The polygon encloses approximately 89.7 km2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062018.26912.1", "modified": "2018-06-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "arizona", "forest structure", "snowpack accumulation", "lidar", "NCALM" ], "spatial": "-111.78,35.13,-111.65,35.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90Z716B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Post-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan", "description": "The 16 April 2016 M7 Kumamoto earthquake ruptured the Futagawa- Hinagu fault zone on Kyushu Island of southwestern Japan. The lidar dataset collected by Air Survey Co., Ltd., of Japan covers the western half of the rupture zone. The acquisition of the imagery closely brackets the timing of the earthquake: The pre-earthquake dataset was acquired on 15 April 2016 and the post-earthquake dataset was acquired on 23 April 2016. For more information on this dataset refer to the following publications: Scott, C. P., Arrowsmith, J. R., Nissen, E., Lajoie, L., Maruyama, T., & Chiba, T. (2018). The M7 2016 Kumamoto, Japan, Earthquake: 3-D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2018JB015581 Scott, C., Champenois, J., Klinger, Y., Nissen, E., Maruyama, T., Chiba, T., & Arrowsmith, R. (2019). 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements. Geophysical Research Letters. https://doi.org/10.1029/2019GL082202", "identifier": "OT.052018.2444.1", "modified": "2018-05-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "earthquake", "lidar", "Japan", "Kumamoto", "differential topography" ], "spatial": "130.75,32.72,130.92,32.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SX6B9T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pre-Kumamoto Earthquake (16 April 2016) Rupture Lidar Scan", "description": "The 16 April 2016 M7 Kumamoto earthquake ruptured the Futagawa- Hinagu fault zone on Kyushu Island of southwestern Japan. The lidar dataset collected by Air Survey Co., Ltd., of Japan covers the western half of the rupture zone. The acquisition of the imagery closely brackets the timing of the earthquake: The pre-earthquake dataset was acquired on 15 April 2016 and the post-earthquake dataset was acquired on 23 April 2016. For more information on this dataset refer to the following publications: Scott, C. P., Arrowsmith, J. R., Nissen, E., Lajoie, L., Maruyama, T., & Chiba, T. (2018). The M7 2016 Kumamoto, Japan, Earthquake: 3-D Deformation Along the Fault and Within the Damage Zone Constrained From Differential Lidar Topography. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2018JB015581 Scott, C., Champenois, J., Klinger, Y., Nissen, E., Maruyama, T., Chiba, T., & Arrowsmith, R. (2019). 2016 M7 Kumamoto, Japan, Earthquake Slip Field Derived From a Joint Inversion of Differential Lidar Topography, Optical Correlation, and InSAR Surface Displacements. Geophysical Research Letters. https://doi.org/10.1029/2019GL082202", "identifier": "OT.052018.2444.2", "modified": "2018-05-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "earthquake", "lidar", "Japan", "Kumamoto", "differential topography" ], "spatial": "130.71,32.69,130.92,32.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XP7303", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Very High Resolution Airborne Lidar at Strathalbyn in Queensland, Australia", "description": "An area of severe erosion on the Strathalbyn property near the Burdekin River in North Queensland was captured by ARA - Airborne Research Australia on 5 Sep 2017 using a Riegl Q680i-S Lidar (1064nm) mounted on one of ARA's research motorgliders. The aim was to test what the highest achievable resolution of such airborne lidar would be by flying several overlapping grids with narrow linespacing (50m and 100m) at 250m AGL. Achieved point densities are between 100 and 200 points per sqm. 8cm pixel size aerial RGB imagery is also available from ARA.The data consist of two sites (Site 1 and Site 2) which are 0.767sqkm and 2.297sqkm in size, respectively.The project is a collaboration between the Australian NESP (National Environmental Science Program) Project 3.1.7 \"Gully rehabilitation\" (http://nesptropical.edu.au/index.php/round-3-projects/project-3-1-7/) and ARA who also jointly funded the data capture and processing.It is important to understand that due to the nature of the terrain and the much higher point densities achieved, standard point classification will not yield the desired results in a perfect manner. Research on this data set is ongoing at the two partner organizations. Third party users of this data set are encouraged to contact the project team via jorg.hacker@airborneresearch.org.au.", "identifier": "OT.052018.28355.1", "modified": "2018-05-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "erosion", "very high point density", "airborne lidar", "riegl q680i-s", "queensland", "australia" ], "spatial": "147.32,-20.21,147.34,-20.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9765CFF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wellington Fault, NZ 2010", "description": "Lidar was collected for GNS Science by NZ Aerial Mapping in September 2010, under survey name Tararua LiDAR, and includes approximately 8 km of the Wellington Fault on the North Island, approximately 82 km northeast of Wellington. The polygon encloses an area of approximately 9 km2. The dataset was generated by NZ Aerial Mapping (NZAM) and their subcontractors and processed into various digital map data products. Note: This dataset was converted to LAS from XYZ (ASCII) points and lacks typical lidar attibutes.", "identifier": "OT.042018.2193.3", "modified": "2018-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "wellington", "tararua", "north island", "new zealand", "aerial surveys", "lidar" ], "spatial": "175.37,-40.97,175.42,-40.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T43R57", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hope Fault, NZ 2010", "description": "The lidar was collected by NZ Aerial Mapping in November 2010, in the framework of the French ANR proposal CENTURISK (ANR-09-RISK-003/CENTURISK) led by Isabelle Manighetti (then at ISTerre, now at Geoazur), under survey name Eastern Hope LiDAR, and includes approximately 40 km of the Hope fault on the South Island of New Zealand, approximately 25 km west of Kaikoura. The polygon encloses an area of approximately 41 km2. The lidar data were acquired to conduct geomorphic and paleoseismological studies of the Hope fault. Note: This dataset was converted to LAS from XYZ (ASCII) points and lacks many typical lidar attributes. Some of the results can be found in: Beaupretre, S., Garambois, S., Manighetti, I., Malavieille, J., Senechal, G., Chatton, M., Davies, T., Larroque, C., Rousset, D., Cotte, N., and Romano, C., 2012. Finding the buried record of past earthquakes with GPR-based paleoseismology : a case study on the Hope fault, New Zealand, Geophysical Journal International, vol. 189, no.1, pp. 73-100. https://doi.org/10.1111/j.1365-246X.2012.05366.x Manighetti, I., Perrin, C., Dominguez, S., Garambois, S., Gaudemer, Y., Malavieille, J., Matteo, L., Delor, E., Vitard, C. and Beaupretre, S., 2015. Recovering paleoearthquake slip record in a highly dynamic alluvial and tectonic region (Hope fault, New Zealand) from airborne LiDAR. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1002/2014JB011787 Stewart, N., Gaudemer, Y., Manighetti, I., Serreau, L., Vincendeau, A., Dominguez, S., Matteo, L., and Malavieille, J., 2018. \"3D_Fault_Offsets,\" a Matlab Code to Automatically Measure Lateral and Vertical Fault Offsets in Topographic Data: Application to San Andreas, Owens Valley, and Hope Faults. Journal of Geophysical Research: Solid Earth, 123(1), 815-835. https://doi.org/10.1002/2017JB014863", "identifier": "OT.042018.2193.1", "modified": "2018-05-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "kaikoura", "st helens", "south island", "new zealand", "aerial surveys", "lidar" ], "spatial": "173.12,-42.5,173.45,-42.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93J3B2J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Slip transfer through the Eastern Transverse Ranges, CA 2017", "description": "This dataset, located within Joshua Tree National Park, CA, was collected as an NCALM Seed grant for Katherine Anna Guns, University of Arizona, Geosciences Department to support an investigation of possible slip rates on the Southern San Andreas Fault through the Eastern Transverse Ranges. The requested survey area is located approximately 31 km east of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as \"building\" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with \"unclassified\" (LAS class 1) points to reduce point cloud classification to either \"ground\" or \"unclassified\" below.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032018.32611.4", "modified": "2018-03-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "san andreas", "faults", "slip rate", "california", "lidar", "NCALM" ], "spatial": "-116.21,33.89,-115.9,33.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D21VP1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Fault geometry on the Mission Creek-Mill Creek faults, CA 2017", "description": "This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jesse Waco, San Jose State University, Geology Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 25 km northwest of Palm Springs, CA. The polygon encloses approximately 64 km2. Note: A considerable percentage of the points in this dataset were classified as \"building\" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution through OpenTopography, these points have been grouped with \"unclassified\" (LAS class 1) points to reduce point cloud classification to either \"ground\" or \"unclassified\" below.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032018.32611.3", "modified": "2018-03-16", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "san bernardino", "faults", "palm springs", "california", "lidar", "NCALM" ], "spatial": "-116.74,33.98,-116.57,34.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9000055", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topographic stress controls, San Bernardino Mountains, CA 2017", "description": "This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for Jessica Lin, University of California, Los Angeles, Earth, Planetary, and Space Sciences Department to support an investigation of topographic stress control on subsurface weathered zone and seismic site conditions in southern California. The requested survey area is located approximately 11 km north of San Bernardino, CA. The polygon encloses approximately 62 km2. Note: A considerable percentage of the points in this dataset were classified as \"building\" (LAS class 6) although visual inspection indicates these points are mostly above-ground vegetation. For the purposes of distribution though OpenTopography, these points have been grouped with \"unclassified\" (LAS class 1) points to reduce point cloud classification to either \"ground\" or \"unclassified\" below.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032018.32611.2", "modified": "2018-03-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "san bernardino", "faults", "california", "lidar", "NCALM" ], "spatial": "-117.32,34.18,-117.2,34.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98G8HSS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Trinity River, Texas 2015", "description": "PI: Dr. Paola Passalacqua, University of Texas, Austin. The requested survey area consisted of three polygons located east of Houston, TX, about 52 Km east of George Bush Intercontinental Airport (IAH), over the Trinity River. The total area surveyed was approximately 385 sq km.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022018.26915.1", "modified": "2018-03-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "texas", "flood", "river", "lidar", "NCALM" ], "spatial": "-94.88,29.85,-94.72,30.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JW8BX4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Austin, TX, Rapid Response, 2015", "description": "PI: Dr. Paola Passalacqua, University of Texas, Austin The requested survey area consisted of a polygon located over downtown Austin, TX, and the surrounding area. The polygon encloses approximately 157 km2 (60.5 mi2). The survey took place on June 12-13, 2015 (DOY 163 & 164) following flooding in Central Texas in late May, 2015.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072017.26914.1", "modified": "2017-07-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "texas", "austin", "flood", "river", "urban", "city", "lidar", "NCALM" ], "spatial": "-97.84,30.21,-97.69,30.41", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FB5115", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Walker Fault System, Nevada, 2015", "description": "PI: Steven G. Wesnousky, University of Nevada, Reno The requested survey area consisted of 1-km wide swaths centered along 335 km of fault centerlines. There were a total of 44 fault segments for 12 fault lines, totaling a nominal 335 km2 of map area. The faults are spread throughout an area of 15,600 km 2 of central western Nevada east of Lake Tahoe. The faults' names and 4 letter identifiers used for the data products are: Antelope Valley (AntV), Benton (Bent), Benton North (BntN), Bridgeport (Brdg), Carson Linement (CarL), Little Valley (LitV), Mason (Masn), Petrified Springs (PetS), Smith Valley (SmtV), Wassuks (Wass), Wabuska (Wbsk), Olinghouse Opton (OlOp).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072017.26911.1", "modified": "2017-07-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "nevada", "fault", "california", "desert", "scarp", "lidar", "NCALM" ], "spatial": "-119.9,38.16,-118.02,39.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95T3HJ8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Straight Cliffs Formation, South-Central Utah, 2016", "description": "NCALM Seed. PI: Alex Koch, University of Utah The requested survey area consisted of two polygons located east of Bryce, UT. The polygons enclose approximately 39 km2 (15 mi2). The survey will support a study on coupling of a high resolution base DEM and ultra-high resolution terrestrial DOMs to inform correlation of fluvial strata in the Straight Cliffs Formation, South-Central, Utah.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072017.26912.2", "modified": "2017-07-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "seed grant", "utah", "river", "fluvial", "lidar", "NCALM" ], "spatial": "-112.01,37.44,-111.8,37.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99K489F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Illinois River, OR, Coast Ranges, 2016", "description": "NCALM Seed. PI: Wesley von Dassow, Oregon State University The requested survey area consisted of three polygons located west of Grants Pass, OR. The polygons enclose approximately 40 km2 (15 mi2). The survey will support a study on quantifying differential incision and rock uplift along the Illinois River, OR, Coast Ranges.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072017.26910.1", "modified": "2017-07-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "seed grant", "oregon", "river", "morphology", "lidar", "NCALM" ], "spatial": "-124.03,42.22,-123.66,42.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QR4V6K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Rafael River, Castle Dale, Utah, 2016", "description": "NCALM Seed. PI: Alistair T. Hayden, California Institute of Technology The requested survey area consisted of one polygon located south of Price, UT. The polygon encloses approximately 38 km2 (15 mi2). The survey will support a study on using inverted channels to reconstruct river dynamics and 3D architecture of alluvial stratigraphy on Earth and Mars.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072017.26912.1", "modified": "2017-07-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "seed grant", "utah", "river", "fluvial", "mars", "lidar", "NCALM" ], "spatial": "-110.99,39.06,-110.86,39.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GB225J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Bernardino Mountains, CA 2016", "description": "This dataset, located within the San Bernardino Mountains, CA, was collected as an NCALM Seed grant for PI William Cochran, Virginia Polytechnic Institute and State University, Department of Geosciences to support an earthquake hazard assessment of late Quaternary faults.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052017.32611.1", "modified": "2017-07-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "san bernardino", "faults", "california", "lidar", "NCALM" ], "spatial": "-116.9,34.03,-116.53,34.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SX6B51", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Laytonville, CA lidar 2015", "description": "This dataset was collected by NCALM for PI Dr. William Dietrich. The requested survey area consisted of a polygon located 12 km south of Laytonville, CA. The polygon encloses approximately 46.5 square km.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062017.26910.1", "modified": "2017-07-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "laytonville", "california", "airborne", "lidar", "NCALM" ], "spatial": "-123.63,39.55,-123.41,39.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WH2N2P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northern Rockies, Montana lidar 2016", "description": "NCALM Seed. PI: Sarah Sarojini Benjaram, Montana State UniversityThe requested survey area consisted of two polygons located south of Missoula, MT. The polygons enclose approximately 46 km2 (18 mi2). The survey will support a study on soil chemical weathering under morphologic and climatic controls in the Northern Rockies, Montana.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062017.26911.1", "modified": "2017-06-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "seed grant", "montana", "rockies", "rocky mountains", "erosion", "lidar", "NCALM" ], "spatial": "-114.49,45.95,-113.89,46.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RR1W9H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Slumgullion Landslide, Colorado (July 3, 2015)", "description": "Airborne lidar was collected by NCALM for PI Dr. Hyongki Lee (University of Houston) over the Slumgullion Landslide, Colorado. This dataset includes data from survey one of three in the collection. Three surveys were conducted on July 3, 7, 10, 2015 (DOY 184, 188, 191). The Slumgullion Earthflow, a slow moving landslide, crawled down the valley about 700 years ago creating the 4 miles (6.4 km) long and 2,000 feet (610 m) wide mass. The earthflow lies a few miles south east of Lake City. The landmark site covers 1,291 acres (522 ha) and is owned by the US Forest Service and the Bureau of Land Management. It is \"a striking example of mass wasting (the movement of large masses of earth material).\" Lake San Cristobal was dammed by the earthflow. The earthflow has been moving continuously for about 300 years over older stable rock. It moves at a rate of about 7 meters (23 feet) per year. Slumgullion Earthflow. (2017, April 12). In Wikipedia, The Free Encyclopedia. Retrieved 16:39, June 29, 2017, from https://en.wikipedia.org/w/index.php?title=Slumgullion_Earthflow&oldid=775038032Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062017.26913.1", "modified": "2017-06-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "earthflow", "landslide", "geomorphology", "colorado", "hinsdale county", "lidar", "NCALM" ], "spatial": "-107.29,37.97,-107.21,38.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91834KD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Coast and Hauraki Plains, Waikato, New Zealand 2015", "description": "Lidar was captured for Waikato Regional Council by Aerial Surveys in February and March 2015, under survey name Waikato 2015. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the west coast and Hauraki Plains stopbanks and river corridors. Data management and distribution is by Land Information New Zealand.", "identifier": "OT.052017.2193.1", "modified": "2017-06-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Waikato", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.61,-38.72,175.74,-37.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P55KFM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Powder River, MT 2016", "description": "This dataset, located along the Powder River, MT, was collected as an NCALM Seed grant for PI Tobias Ackerman, University of Delaware, Department of Geological Sciences to support validating simulations of floodplain topographic evolution with field data.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052017.26913.1", "modified": "2017-05-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "seed grant", "montana", "river", "riverscape", "hydrology", "lidar", "NCALM" ], "spatial": "-105.77,45.18,-105.43,45.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93F4MJG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wellington, New Zealand 2013-2014", "description": "Lidar of the entire Wellington region, captured for Greater Wellington Regional Council by Aerial Surveys in 2013. Further processing including automated classification and conversion to NZVD2016 was done by Landcare Research. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service Wellington, New Zealand 2013-2014 DEM Wellington, New Zealand 2013-2014 DSM", "identifier": "OT.042017.2193.2", "modified": "2017-05-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wellington", "lower hutt", "upper hutt", "porirua", "kapiti", "wairarapa", "tararua", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "174.6,-41.65,176.35,-40.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CV4FPT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Eel River Critical Zone Observatory July 2014 Lidar Survey (1064 nm/Angelo)", "description": "This dataset was collected by NCALM for PI Dr. William Dietrich, University of California, Berkeley. The Eel River CZO is a multi-disciplinary research collaborative based at the University of California, Berkeley. CZO research explores how biotic and abiotic factors interact in the near-surface environment (from bedrook to tree tops) and how these relationships impact environmental processes. The requested survey area consisted of a polygon located 145 km West of Chico, CA. The polygon encloses approximately 57.1 square km. This survey was performed with an Optech Gemini Airborne Laser Terrain Mapper (ALTM) serial number 06SEN195 mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N931SA).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122016.26910.1", "modified": "2017-05-12", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "czo", "california", "eel river", "critical zone observatory", "lidar", "NCALM" ], "spatial": "-124.32,39.67,-123.55,40.68", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MP517V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hurunui Rivers, Canterbury, New Zealand 2013", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in May 2013. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes Hanmer Springs, Hanmer Plain, Waiau, Waiau River, Hurunui River, Pahau River, and Culverden. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3582-canterbury-hurunui-rivers-lidar-1m-dem-2013/ https://data.linz.govt.nz/layer/3580-canterbury-hurunui-rivers-lidar-1m-dsm-2013/", "identifier": "OT.042017.2193.1", "modified": "2017-05-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Hurunui", "hanmer", "waiau", "pahau", "culverden", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.52,-42.91,173.34,-42.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PC3093", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Inyo Domes, CA lidar 2016", "description": "This dataset, located northwest of Mammoth Lakes, CA, was collected as an NCALM Seed grant for PI Abigail Martens, University of California, Bakersfield, to for structural analysis of obsidian lava surfaces.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032017.26911.1", "modified": "2017-05-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "ncalm", "inyo", "crater", "obsidian dome", "volcano", "volcanic", "extrusive", "lidar", "NCALM" ], "spatial": "-119.05,37.68,-118.99,37.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98913TW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pahrump Valley: California/Nevada State Line", "description": "NCALM. PI: Brian Wernicke, Caltech and Bernard Guest, University of Calgary. The survey area consisted of three 500 meter wide corridors near the California-Nevada border and across the Pahrump Valley. The corridors total approximately 60 km long, 0.5 to 1 km wide and contained approximately 40 square km. Please note that the flight was conducted in an unconventional way as this was an add-on to other work and was done to quickly obtain data for the requested area. Rather than flying a regular, straight grid across the area, the airplane banked along the determined trajectory. This way of gathering data introduces noticeable error, especially on the fringes of the flight path, giving a \"corduroy\" appearance to the data. This is in addition to the background periodic fine scale elevation variation (normally 5 to 20cm) which is a property of the Optech LIDAR system, and within the machine's error limits. This effect is less noticeable in Corridor 1 as the plane was following a mostly straight trajectory. Our understanding is that if these preliminary data looked promising, a carefully planned survey would then be conducted if funding became available. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area. Filtering the data with a conservative feature preserving algorithm (Hagerud) can remove some of the vegetation but with the expense of smoothing out some of the morphology in steep areas.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26911.1", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-116.2,36.08,-115.8,36.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K935FB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Christchurch and Selwyn, Canterbury, New Zealand 2015", "description": "Lidar was captured for Environment Canterbury Regional Council by AAM in October and November 2015. The datasets were generated by AAM and their subcontractors. The survey area includes Christchurch City and large portions of the Selwyn district. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3587-canterbury-christchurch-and-selwyn-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3588-canterbury-christchurch-and-selwyn-lidar-1m-dsm-2015/", "identifier": "OT.032017.2193.1", "modified": "2017-03-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Christchurch", "Selwyn", "south island", "new zealand", "linz", "AAM", "lidar" ], "spatial": "171.66,-43.91,172.82,-43.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JQ0XZV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yosemite Rim Fire lidar 2013", "description": "The Rim Fire started on August 17, 2013 in a remote area of the Stanislaus National Forest near the confluence of the Clavey and Tuolumne Rivers about 20 miles east of Sonora, California. The Rim Fire burned 257,314 acres, including 154,530 acres of National Forest System (NFS) lands, becoming the third largest wildfire in California history. - Stanislaus National Forest The requested survey area consisted of a single irregular polygon of approximately 1500 km2, located west of Yosemite Valley in California. The polygon covered the Yosemite Rim fire that occurred in fall 2013. Two flight strips were flown with full waveform data collection. A smaller polygon (Smithsonian forest plot) north of Crane Flat Fire lookout, within the larger area, was collected at a higher point density and full waveform.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022017.26910.2", "modified": "2017-03-06", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "yosemite", "forest fire", "wildfire", "national park", "Stanislaus National Forest", "lidar", "burnpro3d", "NCALM" ], "spatial": "-120.29,37.69,-119.62,38.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V69GJ4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "IML Critical Zone Observatory, Sangamon River, IL Aug 2014 (532 nm)", "description": "This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. Praveen Kumar, University of Illinois. The Sangamon River area is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two connected rectangles enclosing approximately 198 square kilometers along with their associated watercourse corridors. The project rectangles are located 20 km west of Champaign. IL. The entire enclosed area of these 2 rectangles was surveyed with the Gemini (1064 nm, NIR instrument); the enclosed watercourse corridors illustrate where Aquarius (532 nm instrument) data was also collected.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122016.26916.1", "modified": "2016-12-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "czo", "intensely managed landscapes", "critical zone observatory", "Sangamon River", "watershed", "lidar", "NCALM" ], "spatial": "-88.69,39.97,-88.27,40.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W66HQZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "IML Critical Zone Observatory, Clear Creek Aug 2014 Lidar Survey (532 nm)", "description": "This dataset was collected using the Optech Aquarius ALTM, a hybrid laser mapping system which collects simultaneous land and shallow water-depth measurements using a beam wavelength of 532 nm. This dataset was collected by NCALM for PI Dr. Praveen Kumar, University of Illinois. Clear Creek is part of the Intensively Managed Landscapes (ILM) Critical Zone Observatory (CZO). The requested survey area consisted of two rectangles - called East and West - enclosing approximately 204 square kilometers along with their associated watercourse corridors. The West rectangle is located 35 km NW of Iowa City, Iowa and the East rectangle is located 10 km NW of the same city. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) (available here) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM (this dataset) which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA- 31-350 Navajo Chieftain (Tail Number N154WW). Full waveform files are available via this link.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122016.26915.1", "modified": "2017-03-03", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "czo", "intensely managed landscapes", "critical zone observatory", "clear creek", "river", "watershed", "lidar", "NCALM" ], "spatial": "-92.04,41.65,-91.55,41.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RF5S0N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Israel Mediterranean Sharon sea cliff, 2006", "description": "Israel's 200-km long Mediterranean coast line consists of ~70 km of late Quaternary eolianite sea cliffs that reach up to 50 m above sea level and are actively retreating landwards at time-averaged rates of up to 0.1 m/yr. This dataset covers a 30-km-stretch of coastal cliffs in central Israel that lie between the cities of Herzlia in the south and Olga in the north. The data were acquired in 2/2006 at a sampling density of 0.25 pts per square meter and are being used to study and monitor sea cliff retreat processes in the eastern Mediterranean.", "identifier": "OT.102016.2039.1", "modified": "2016-10-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Israel", "Eastern Mediterranean Sea", "Coastal cliffs", "lidar" ], "spatial": "34.79,32.16,34.89,32.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99C6VBM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tauranga and Coast, Bay of Plenty, New Zealand 2015", "description": "Lidar was captured for BOPLASS Ltd by Aerial Surveys in January through April 2015. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Tauranga and Whakatane urban areas and the greater coastal strip. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3556-bay-of-plenty-tauranga-and-coast-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3557-bay-of-plenty-tauranga-and-coast-lidar-1m-dsm-2015/", "identifier": "OT.122016.2193.4", "modified": "2017-01-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tauranga", "whakatane", "bay of plenty", "north island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "175.9,-38.05,177.44,-37.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G900002T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Timaru Rivers, Canterbury, New Zealand 2014", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Geraldine and Temuka township areas and the lower Rangitata, Orari, and Opihi river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3554-canterbury-timaru-rivers-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3555-canterbury-timaru-rivers-lidar-1m-dsm-2014/", "identifier": "OT.122016.2193.2", "modified": "2017-01-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "geraldine", "temuka", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "171.16,-44.29,171.5,-43.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93R0QSF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Rangiora, Canterbury, New Zealand 2014", "description": "Lidar was captured for Waimakariri District Council and Environment Canterbury Regional Council by Aerial Surveys in March - June 2014. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Rangiora township area and the lower Ashley, Eyre, and Waimakariri river channels. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3552-canterbury-rangiora-lidar-1m-dem-2014/ https://data.linz.govt.nz/layer/3553-canterbury-rangiora-lidar-1m-dsm-2014/", "identifier": "OT.122016.2193.6", "modified": "2017-01-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Rangiora", "waimakariri", "canterbury", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "172.15,-43.45,172.75,-43.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97D2S3V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Cheviot and Hawarden, Canterbury, New Zealand 2015", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys on 1 April 2015, under survey name Hurunui. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Cheviot and Hawarden township areas. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3548-canterbury-cheviot-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3549-canterbury-cheviot-lidar-1m-dsm-2015/ https://data.linz.govt.nz/layer/3550-canterbury-hawarden-lidar-1m-dem-2015/ https://data.linz.govt.nz/layer/3551-canterbury-hawarden-lidar-1m-dsm-2015/", "identifier": "OT.122016.2193.5", "modified": "2017-01-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Cheviot", "Hawarden", "hurunui", "south island", "new zealand", "linz", "aerial surveys", "Canterbury", "lidar" ], "spatial": "172.63,-42.97,173.31,-42.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C53HSQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lake Bonneville, Utah", "description": "This dataset was collected as an NCALM Seed grant for PI Lawrence T Kellum, University of Utah, for the purpose of assessing the hydrodynamics of the Lake Bonneville Stockton Bar highstand.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092016.26912.1", "modified": "2016-09-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stockton Bar", "Lake Bonneville", "Utah", "lidar", "NCALM" ], "spatial": "-112.4,40.43,-112.26,40.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JW8BTS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Amberley, Canterbury, New Zealand 2012", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in July 2012, under survey name Hurunui AB. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Amberley and Waipara township areas and adjacent coastal strips and river corridors. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3546-canterbury-amberley-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3547-canterbury-amberley-lidar-1m-dsm-2012/", "identifier": "OT.122016.2193.3", "modified": "2017-01-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Amberley", "waipara", "south island", "new zealand", "linz", "aerial surveys", "Canterbury", "lidar" ], "spatial": "172.62,-43.25,172.82,-43.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GX48H4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kaikoura, Canterbury, New Zealand 2012", "description": "Lidar was captured for Environment Canterbury Regional Council by Aerial Surveys in 2012. Note that this capture was prior to the significant vertical and horizontal displacements from the 2016 Kaikoura earthquakes. The datasets were generated by Aerial Surveys and their subcontractors. The survey area includes the Kaikoura township area and adjacent coastal strips. Data management and distribution is by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3542-canterbury-kaikoura-lidar-1m-dem-2012/ https://data.linz.govt.nz/layer/3545-canterbury-kaikoura-lidar-1m-dsm-2012/", "identifier": "OT.122016.2193.1", "modified": "2016-12-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "kaikoura", "south island", "new zealand", "linz", "aerial surveys", "lidar" ], "spatial": "173.26,-42.92,174.07,-41.95", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98C9T67", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2014-2015 lidar survey of the McMurdo Dry Valleys, Antarctica", "description": "Airborne lidar data were collected with the Optech Titan multispectral sensor of the McMurdo Dry Valleys, Antarctica during the austral summer of 2014-2015 as part of an effort to understand geomorphic changes over the past decade. Lidar point density varied from 2 to >10 returns per m2 with an average of about 5 returns per m2. Vertical and horizontal accuracies are estimated to be 0.07 m and 0.03 m, respectively. The lidar coverage comprises roughly 3600 km2 with includes the bottoms and sides of Taylor, Pearse, Wright, Victoria, Mckelvey, Barwick, and Valham valleys, Bull Pass, in addition to other ad hoc regions nearby including the Pegasus flight facility and two regions on Ross Island, McMurdo Station/Scott Base (and surroundings), and the coastal margin between Cape Royds and Cape Evans.A detailed description of the survey can be found in the Earth System Science Data publication High-resolution elevation mapping of the McMurdo Dry Valleys, Antarctica, and surrounding regions (Fountain et al., 2017).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112016.3294.1", "modified": "2016-11-30", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Antarctica", "McMurdo Dry Valleys", "Taylor", "Wright", "Victoria", "Mckelvey", "Barwick", "Valham", "Asgard", "Pearse", "Cape Royds", "Cape Evans", "Pegasus Field", "McMurdo Station", "lidar", "NCALM" ], "spatial": "160.11,-78.28,166.96,-77.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D50JX3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Niobrara River, Nebraska", "description": "This dataset was collected using the Optech Gemini Airborne Laser Terrain Mapper (ALTM) using a beam wavelength of 1064 nm. This dataset was collected as an NCALM Seed grant for PI Jason Alexandra, University of Wyoming. This survey was performed with 2 different LiDAR systems: 1) Optech Gemini Airborne Laser Terrain Mapper (ALTM) which is an infrared laser mapping sensor and 2) Optech Aquarius ALTM which is a hybrid laser mapping system as it collects simultaneous land and shallow water-depth measurements. It operates in the green spectrum, thus enabling it to penetrate water. These LiDAR mapping systems along with an Optech 12-bit full waveform digitizer were mounted consecutively in a twin-engine Piper PA- 31-350 Navajo Chieftain (Tail Number N154WW).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102016.26914.1", "modified": "2016-10-31", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-99.56,42.7,-99.18,42.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NP22DP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sea Grass Beds, Apalachicola, FL", "description": "This dataset was collected as an NCALM Seed grant for PI Stephanie Garvis, University of Central Florida, in order to characterize sea grass beds along the coast of Florida, near Apalachicola, and parameterize storm surge and sea level rise models.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102016.26916.1", "modified": "2016-10-31", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Florida", "Apalachicola", "sea grass", "sea level", "bathymetry", "lidar", "NCALM" ], "spatial": "-85.02,29.61,-84.5,29.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HX19NH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wax Lake Delta, Louisiana, USA 2009", "description": "Airborne Lidar data of Wax Lake Delta, Louisiana, USA, a delta prograding into Atchafalaya Bay, Gulf of Mexico. Note: The rasters available for this dataset will not exactly match those produced from the point cloud. To get the same rasters start with the complete unclassified point cloud and follow the methods described in the full metadata file.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102016.26915.1", "modified": "2016-10-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wax Lake Delta", "Louisiana", "prograding", "Gulf of Mexico", "Atchafalaya Bay", "lidar", "NCALM" ], "spatial": "-91.54,29.42,-91.35,29.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95M63M8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wax Lake Delta, Louisiana, USA 2013", "description": "Airborne lidar data of Wax Lake Delta, Louisiana, USA, a delta prograding into Atchafalaya Bay, Gulf of Mexico. Rasters were produced from the 2013 Airborne lidar data wherein trees and vegetation were removed. The data were then rasterized and saved to geotiff using the software package CloudCompare. Note: The point cloud data were not initially classified for vegetation removal. As such, the investigators removed vegetation to create the raster datasets. The removal process will not match the removal from the classification performed on the data later. The later classification is uploaded to OpenTopography. To get the same rasters as the ones available on OpenTopography, start with the complete unclassified point cloud and follow the methods described in the full metadata file.", "identifier": "OT.102016.32615.1", "modified": "2016-10-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wax Lake Delta", "Louisiana", "prograding", "Gulf of Mexico", "Atchafalaya Bay", "lidar" ], "spatial": "-91.53,29.47,-91.39,29.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SF2T41", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Woodland-encroached sagebrush ecosystem, Nevada", "description": "This dataset was collected as an NCALM Seed grant for PI Devon Snyder, University of Nevada, Reno, for the purpose of applying airborne laser swatch mapping to scale up rainfall interception before and after the removal of pinon and juniper in a woodland-encroached sagebrush ecosystem. The survey area is located approximately 180 km east of Carson City, Nevada.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102016.26911.1", "modified": "2016-10-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nevada", "woodland", "rainfall", "vegetation", "lidar", "NCALM" ], "spatial": "-117.69,39.43,-117.56,39.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X63JVB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Big Creek, California", "description": "This dataset was collected as an NCALM Seed grant for PI Allison Pfeiffer, University of California, Santa Cruz, for the purpose of analyzing the hydraulics steep, boulder-bedded channels and bedrock-forced pools.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102016.26910.1", "modified": "2016-10-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "channel", "bedrock", "California", "Big Creek", "stream", "lidar", "NCALM" ], "spatial": "-121.62,36.06,-121.53,36.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91V5BX0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Channel Avulsion in Bishop, California", "description": "This dataset was collected as an NCALM Seed grant for PI Alexander Morgan, University of Virginia, for the purpose of investigating the triggers for channel avulsion on alluvial fans. The survey area consisted of a polygon located in California 49 km east of Bishop.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092016.26911.2", "modified": "2016-09-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Alluvial fan", "California", "Bishop", "channel", "lidar", "NCALM" ], "spatial": "-117.88,37.22,-117.77,37.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PN93JH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Little San Bernardino Mountains, Joshua Tree National Park, California", "description": "This dataset was collected as an NCALM Seed grant for PI Ann Hislop, University of Kentucky, for the purpose of studying the tectonic linkage between the San Andreas Fault and the Eastern California Shear Zone, Little San Bernardino Mountains, Joshua Tree National Park, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092016.26911.1", "modified": "2016-09-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Eastern California Shear Zone", "San Andreas Fault", "San Bernardino Mountains", "Joshua Tree National Park", "lidar", "NCALM" ], "spatial": "-116.39,33.89,-116.29,34.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F47M2B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Santa Clarita Topography", "description": "This dataset was collected as an NCALM Seed grant for PI Katherine Lowe, University of Michigan, for the purpose of studying the effects of topography on peak ground acceleration. The requested survey area consisted of a polygon located 70 km northwest of Los Angeles, CA. The polygon encloses approximately 45.13 square km.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072016.32611.1", "modified": "2016-09-19", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Santa Clarita", "lidar", "NCALM" ], "spatial": "-118.79,34.41,-118.74,34.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TB14V2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Boulder Creek Critical Zone Observatory May 5 2010 Snow-On Lidar Survey", "description": "Data were collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format with associated shaded relief models. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-off data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The \"Critical Zone\" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.Read the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.IMPORTANT NOTE: Due to weather and equipment failures the snow-on surveys were flown during 2 different time periods in May, between which there were substantial snow accumulations. Do not combine data from May 5/9, 2010 and May 20/21, 2010.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082016.26913.1", "modified": "2016-09-14", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Gordon Gulch", "Betasso Preserve", "Green Lakes Valley", "Como Creek", "Arikaree Glacier", "Fourmile Canyon", "Fourmile Creek", "Bummer's Gulch", "Long Gulch", "Emerson Gulch", "Schoolhouse Gulch", "Melvin Gulch", "Gold Run", "lidar", "NCALM" ], "spatial": "-105.71,39.91,-105.42,40.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z31WKD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Calhoun Critical Zone Observatory 2016 Leaf Off LiDAR Survey", "description": "The National Center for Airborne Laser Mapping (NCALM) conducted a lidar survey of the Calhoun Critical Zone Observatory (CCZO) area on February 26, 2016. The survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter). Note: Lidar and DEM data have been adjusted by -0.098 meters to adjust for systematic vertical bias determined by analysis of 1251 ground check points collected at the Spartanburg airfield using a vehicle-mounted GPS antenna and receiver.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072016.26917.2", "modified": "2016-07-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Calhoun", "South Carolina", "lidar", "NCALM" ], "spatial": "-81.77,34.56,-81.62,34.67", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96M34RN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Everglades National Park", "description": "This dataset was collected for PI Matthew Cohen, University of Florida, for the purpose of studying biotic control on carbonate dissolution in a low-relief patterned landscape. The survey area consisted of 8 rectangles, each enclosing 2 square kilometers - located approximately 100 km WNW of Miami, Florida and just north of Everglades National Park.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072016.26917.1", "modified": "2016-07-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Florida", "Everglades National Park", "lidar", "NCALM" ], "spatial": "-81.28,25.91,-80.9,26.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BC3WG0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Marlborough Fault System, South Island, New Zealand", "description": "Collaborative Research: Towards an Understanding of the Collective Behavior of Regional Fault Networks: The Marlborough Fault System, New Zealand (James F. Dolan, PI, University of Southern California). This project was a collaborative effort between PI Dolan (USC) and co-I Ed Rhodes (UCLA) and New Zealand collaborators Russ Van Dissen and Rob Langridge of GNS Science. The survey area consists of a total of 254 km of fault-parallel, predominantly ~1.2-km-wide swaths along parts of the four main right-lateral strike-slip faults that comprise the Marlborough Fault System, in the northwestern portion of New Zealand's South Island. The five fault segments surveyed include sections of the eastern and western parts of the Clarence fault, the central part of the Awatere fault, the central part of the Wairau fault, and part of the eastern (Conway) segment of the Hope fault. These lidar data facilitated detailed analysis of fault offsets along the four main MFS faults, as well as mapping of small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the geomorphic development and evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement. The data were analyzed by the PIs, our New Zealand collaborators, and three graduate students at USC (Robert Zinke, Alexandra Hatem, and Jessica Grenader), and one graduate student at UCLA (Chris McGuire [supervised by Co-I Ed Rhodes]); their results will form major parts of their graduate theses. The lidar data were collected by U.S. National Center for Airborne Laser Mapping (NCALM) personnel using an aircraft and flight personnel subcontracted from New Zealand Aerial Mapping. The data were collected with a combination of NCALM's Optech GEMINI sensor (operated at a laser pulse frequency of 125 kHz in multi-pulse mode, at a nominal height above ground of 1400 m) and NZAM's Optech 3100A sensor (operated at a laser pulse frequency of 70-100 kHz at various heights depending on terrain). Shot density is \u2265 12 shots/m2. The lidar data were utilized in our studies of the incremental slip-rate record of the four main Marlborough faults. The lidar data also provided a means of mapping small displacements that have occurred in recent earthquakes on Marlborough faults in unprecedented detail, the sedimentological development and geomorphic evolution of fluvial terraces crossing these faults, and the progressive geomorphic manifestation of off-fault deformation with increasing fault displacement (see Zinke et al., 2015 Geology for a discussion of this latter topic [doi:10.1130/G37065.1]).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.072016.32759.1", "modified": "2016-07-14", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Fault", "New Zealand", "South Island", "Marlborough Fault System", "Eastern Clarence", "Western Clarence", "Central Eastern Awatere", "West Wairau", "East Hope-Conway", "lidar", "NCALM" ], "spatial": "172.49,-42.56,173.83,-41.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G44N75", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Auckland, New Zealand 2013", "description": "Lidar was captured for Auckland Council by NZ Aerial Mapping & Aerial Surveys Limited. The capture of the data commenced on 17th July and was completed by the 23 November 2013. The datasets were generated by both ASL and NZAM. All raw point cloud data was produced by NZAM & ASL prior to data being sent to Genesys International for the data classification and product generation. The survey area includes the Auckland city urban area and adjacent rural land. Data management and distribution external to Auckland Council is managed by Land Information New Zealand. Prepared DEM and DSM files are available through the LINZ Data Service https://data.linz.govt.nz/layer/3405-auckland-lidar-1m-dem-2013/ https://data.linz.govt.nz/layer/3406-auckland-lidar-1m-dsm-2013/", "identifier": "OT.062016.2193.1", "modified": "2016-07-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "auckland", "nzam", "aerial surveys", "north island", "city", "urban", "lidar" ], "spatial": "174.41,-37.29,175.1,-36.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KW5CZ5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "NEON D17 Pacific Southwest- California", "description": "NEON field sites surveyed: San Joaquin Experiment Range (SJER), Soaproot Saddle (SOAP), Providence Creek (PROV), and Teakettle (TEAK) Geographic Characteristics: The primary objectives of the 2013 combined airborne and field campaign were to test flight operations and nominal flight collection parameters and obtain a dataset supporting spatial/temporal scaling studies underway as part of NASA's HyspIRI Airborne Campaign. AOP surveyed three NEON terrestrial sites and one aquatic site located in central California, extending over a large elevation/climate gradient from the southern foothills to the mixed conifer forest zone of the Sierra Nevada. These sites cover diverse ecological sub-regions ranging from open woodland dominated by oaks and foothill pine at the San Joaquin Experiment Range core site (SJER), mixed conifer/deciduous forest at the Soaproot Saddle relocatable site (SOAP) and Providence Creek aquatic site (PROV), and red fir forest at the Teakettle relocatable site (TEAK). Supporting ground measurements of field spectral data, vegetation structure data, and foliar samples were made in a subset of sites and in conjunction with the airborne observations. For full details about this campaign, read NEON Technical Memo TM-005. - See more at: Neon Inc. The NEON Level 1 Slant Range Waveform LiDAR data product, NEON.DOM.SITE.DP1.30001, provides a geolocated waveform for each laser pulse in a binary output format. Waveform data is available for the San Joaquin Experiment Range (SJER), Soaproot Saddle (SOAP), and Teakettle (TEAK) field sites via the following links: SJER SOAP TEAK NEON_Data_Delivery_Letter.pdf NEON_AOP_Waveform_product_description_June2015.docx", "identifier": "OT.092015.32611.1", "modified": "2016-05-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sierra Nevada", "NEON", "NEON Inc", "lidar" ], "spatial": "-119.79,36.92,-118.9,37.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V98609", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tushar Mountains, Utah (1550 nm)", "description": "This dataset was collected as an NCALM Seed grant for PI Keelin Schaffrath of Utah State University. The requested survey area consists of corridor polygons centered on 3 streams draining the Tushar Mountains of southwest Utah located 35 km northeast of Beaver, UT. The dataset was collected to quantify post-wildfire fish habitat quality.This survey was performed with an Optech Titan multispectral airborne LiDAR sensor mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N640WA).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052016.26912.3", "modified": "2016-05-20", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tushar", "mountains", "Utah", "drainage", "stream", "lidar", "NCALM" ], "spatial": "-112.51,38.41,-112.25,38.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97M05W1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yucaipa Ridge, San Bernardino Mountains, CA", "description": "This is an NCALM Seed grant (PI David Milodowski, University of Edinburgh, UK) collected for the purpose of studying bio-geomorphic changes along the actively uplifting Yucaipa Ridge, San Bernardino Mountains, CA. The survey area consists of a polygon located 11 km northeast of Yucaipa, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052016.26911.1", "modified": "2016-05-17", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Yacaipa Ridge", "San Bernadino", "California", "lidar", "NCALM" ], "spatial": "-117.0,34.03,-116.85,34.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93T9F55", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "1959 Hebgen Lake rupture (Montana)", "description": "This dataset was collected as an NCALM Seed grant for PI Kendra Johnson of Colorado School of Mines. The survey area consists of a corridor polygon located 20 km northwest of West Yellowstone, MT. The dataset was collected to study degradation of the 1959 Hebgen Lake rupture and the application of diffusion coefficients to undated scarps in the north Rocky Mountains and Mongolia.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052016.26912.1", "modified": "2016-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Hebgen Lake", "Yellowstone", "Montana", "scarp", "rupture", "lidar", "NCALM" ], "spatial": "-111.38,44.75,-111.08,44.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H41PCJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Greys River, WY (1550 nm)", "description": "This dataset was collected as an NCALM Seed grant for PI Christopher Tennant of Idaho State University. The survey consists of two corridor polygons on the Greys River between Alpine, and Afton, Wyoming. The collection enables an evaluation of whether changes in hydraulic geometry at process domain boundaries are stepwise or gradational within a mountainous catchment.This survey was performed with an Optech Titan multispectral airborne LiDAR sensor mounted in a twin-engine Piper PA-31-350 Navajo Chieftain (Tail Number N640WA).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052016.26912.2", "modified": "2016-05-06", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Greys River", "Wyoming", "catchment", "lidar", "NCALM" ], "spatial": "-111.03,42.6,-110.65,43.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CC0XNT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Geologic Mapping of Coal Beds (Northeastern Montana)", "description": "This is an NCALM Seed grant (PI Courtney Sprain, University of California, Berkeley) collected for the purpose of mapping the coal beds of northeastern Montana. The survey area consists of a rectangle located 20 km NNW of Jordan, MT and 17 km south of the Fort Peck Reservoir.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042016.26913.1", "modified": "2016-04-29", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Jordan", "Montana", "coal beds", "Fort Peck Reservoir", "lidar", "NCALM" ], "spatial": "-107.12,47.47,-106.97,47.54", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MS3QP7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Volcanic Tablelands in Bishop, California", "description": "This dataset was collected as an NCALM Seed grant for PI Kevin Delano of Central Washington University. The requested survey area is a rectangle located 9 km NW of Bishop, CA in an area known as the Volcanic Tablelands. The geomorphological and lidar data were collected for the purpose of determining late Pleistocene slip rates in the Volcanic Tablelands.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042016.26911.1", "modified": "2016-04-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Bishop", "lidar", "NCALM" ], "spatial": "-118.54,37.41,-118.41,37.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RJ4GCH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Calhoun Critical Zone Observatory 2014 Leaf On Survey", "description": "The National Center for Airborne Laser Mapping (NCALM) conducted a leaf-on survey of the Calhoun Critical Zone Observatory (CCZO) area on July 30, 2014 (hyperspectral imaging) and August 5-6, 2014 (LiDAR). The LiDAR survey was funded by NSF award EAR-1339015; the Calhoun CZO is funded by NSF award EAR-1331846 (P.I. Daniel deB. Richter). Hyperspectral imaging data were also collected over the study area and are available via the following links: CalibrationLlines_211.zip CalibrationLines_219.zip CZO_SC_2014_HyperspectralData_part1.zip CZO_SC_2014_HyperspectralData_part2.zipCZO_SC_2014_HyperspectralData_part3.zipPublications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122015.26917.1", "modified": "2015-12-10", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Calhoun", "South Carolina", "LiDAR", "Hyperspectral", "NCALM" ], "spatial": "-81.79,34.54,-81.64,34.67", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9125QK4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Snake River, Wyoming", "description": "In 2008, Sanborn was contracted by Teton Conservation District to execute a LiDAR (Light Detection and Ranging) survey campaign in Teton County, Wyoming. LiDAR data in the form of 3-dimensional positions of a dense set of mass points was collected for the 141 square miles of area within the Snake River and Teton Ranges and Bridger-Teton National Forest. This data was used in the development of the bare-earth-classified elevation point data sets. This project was designed to provide a highly detailed ground surface dataset to be used for the development of topographic, contour mapping, and hydraulic monitoring.", "identifier": "OT.112015.26912.1", "modified": "2015-12-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "LiDAR", "bare-earth", "Teton Conservation District", "Wyoming", "Digital Terrain Modeling" ], "spatial": "-110.87,43.36,-110.7,43.66", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W95737", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Jemez River Basin, NM: Post-fire Landscape Response", "description": "Jemez River Basin, NM: Post-fire landscape response NCALM Project. Jon Pelletier, University of Arizona. The survey area is defined by an 206 square kilometer irregular polygon located 12 kilometers west of Los Alamos, NM. Data were collected from May 25-28, 2012 to quantify extreme post-fire landscape response in the Jemez River basin, New Mexico.There area additional datasets covering the portions of the Catalina-Jemez Critical Zone Observatory (CZO) on OpenTopography including the Jemez River Basin Snow-on Lidar Survey and Jemez River Basin Snow-off Lidar Survey.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092014.26913.1", "modified": "2014-09-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.53,35.78,-106.38,36.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9319SVB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Surprise Valley, CA", "description": "The survey covers much of the Surprise Valley, primarily two swaths along the western and eastern sides of the valley. Surprise Valley is a seismically active geothermal area in the northwestern Basin and Range. Data were collected to create a high-resolution topographic base for correlation with an airborne magnetic survey (Glen), as well as to map and assess offset along Quaternary fault scarps (Egger). The survey took place in June of 2012. The DEM derived from the data has a resolution of 1 point per 0.5 m2. PIs: Jonathan Glen (USGS), Anne Egger (Central Washington University), Corey Ippolito (Carnegie Mellon University).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052015.26910.1", "modified": "2015-06-10", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Basin and Range", "normal fault", "geothermal", "lidar", "NCALM" ], "spatial": "-120.25,41.16,-119.95,41.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J10130", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Poleta Folds, southern Deep Springs Valley, California", "description": "These data cover a popular area for field geologic mapping courses called the Poleta Folds. The area is at the southern end of Deep Springs Valley, southeast of Bishop, CA. The purpose of collecting the data was to provide a good topographic base map for students to learn to map complex geologic structures.", "identifier": "OT.052015.32611.1", "modified": "2015-05-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "folds", "faults", "structures", "Cambrian", "basin and range", "lidar" ], "spatial": "-118.14,37.0,-118.07,37.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95T3HFX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "August 24, 2014 South Napa Earthquake", "description": "The August 24, 2014, South Napa earthquake (M6.0) produced significant damage resulting from shaking, fault rupture, fault afterslip, and ground deformation. Lidar data were collected to aid specialized work on the South Napa earthquake including: (1) fault afterslip, especially in the Browns Valley residential neighborhood; (2) shaking and correlation to damage such as red- and yellow-tagged structures, especially in the downtown Napa area; (3) seismic hazards of the West Napa Fault System, especially in residential areas; and (4) geospatial analysis and imagery support (such as post-processing of lidar and other imagery that has already been acquired). Airborne lidar data and imagery were collected on September 9, 2014 as part of multi-agency/institutional response to the August 24, 2014 South Napa Earthquake. Details of the scientific response to this earthquake including the lidar acquisition can be found in Hudnut et al., 2014: USGS Special Open-File Report 2014-1249. Data were collected and initially processed by Towill and are available both as raw files and products as initially delivered by the vendor, as well as the USGS re-processed version of re-classified point clouds and 0.25 meter DEM's from the USGS HDDS Explorer. Point clouds available from USGS and OpenTopography were reclassified (metadata) by the US Geological Survey; this re-processing was funded by FEMA. Orthoimagery were collected by Towill on September 9, 2014, and by Google on August 24, 2014.", "identifier": "OT.122014.26910.1", "modified": "2015-03-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "South Napa earthquake", "Napa", "West Napa fault", "lidar" ], "spatial": "-122.37,38.11,-122.25,38.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F769H3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wheeler Ridge, CA", "description": "NCALM Seed. PI: Emily Kleber, Arizona State University. Wheeler Ridge is an asymmetric east-propagating anticline (10km axis, 330m relief) above a north-vergent blind thrust deforming Quaternary alluvial fan and shallow marine rocks at the northern front of the Transverse Ranges. Thrust faulting is associated with the Big Bend in the San Andreas Fault, ~10 km to the south. These data were collected to investigate how the landscape is responding to variations in uplift rate along the fold axis and better understand the transient response of the landscape due to local rock uplift.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022015.26911.2", "modified": "2015-02-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wheeler Ridge blind thrust", "Wheeler Ridge fault", "fault propagation fold", "Wheeler Ridge", "Coal Canyon", "lidar", "NCALM" ], "spatial": "-119.08,34.98,-118.91,35.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99K485N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Harper Lake Fault Slip Distribution, Central Mojave, CA", "description": "NCALM Project. PI: Jacob Selander, University of California, Davis. The original Seed project requested survey area of 40 km2 was defined by two irregular polygons located along the Harper Lake Fault in the areas adjacent Gravel and Waterman Hills. Additional funding was secured to add two additional areas also located along the faults and between the original two polygons. The combined area of all the four polygons totaled 75.875 km2. The final data collection has an area of 246 km2 The Harper lake fault is aligned between the towns of Barstow and Ridgecrest, California. Two flights were required to collect the data. Both flights took place on Sunday June 17, 2012. It was collected on a Sunday because part of the survey area are underneath Restricted airspace controlled by the Edwards Air Force Base and access to it is preferably granted on Sundays. Also due to airspace restrictions the flying height above average ground was 900m rather than the preferred 600m. The plan consisted of 16 project lines running NW-SE along the fault center line.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092014.26911.1", "modified": "2014-09-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-117.52,34.9,-116.96,35.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BG2KXR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lunar Crater Volcanic Field, Central Nevada", "description": "PI: Greg Valentine, University at Buffalo. NSF Project: The survey area is defined by a rectangular polygon located in Nevada, about 110 kilometers east of Tonopah. The polygon had a planned surface area of 366.64 km\u00b2. The survey took place from June 30, 2012 through July 3, 2012. The data were collected to investigate controls on magma ascent and eruption at the Lunar Crater Volcanic Field, a mafic intraplate volcanic field.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022015.26911.1", "modified": "2015-02-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-116.18,38.27,-115.86,38.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PR7SX0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Kremmling, CO: Blue and Colorado River Confluence", "description": "PI: Dr. Craig Glennie, University of Houston. NSF Project. The survey area is located over the confluence of Blue and Colorado rivers south of Kremmling, Colorado. Data were collected to test the Aquarius bathymetry laser since the confluence creates a variety of conditions with clear and muddy waters mixing from the two rivers. The Aquarius was tested for bathymetric performance with respect to water turbidity within the rivers. The data on OpenTopography are from the Gemini instrument. Bathymetric point cloud data (LAZ) from the Optech Aquarius sensor are available via the \"bulk download\" link below.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022015.26913.1", "modified": "2015-02-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.44,40.02,-106.32,40.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NS0RS5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sunset Crater Volcano National Monument, AZ", "description": "This Lidar was collected for the National Park Service because they require a high-resolution digital elevation model to serve as a base layer for further inventory and monitoring of Sunset Crater Volcano's unique resources. The objective of this procurement was to acquire a high-resolution bare-earth digital elevation models (DEM) of SUCR and adjacent areas around the park. The accuracy of the final DEM is an interval ranging from 0.15 meter to 0.50 meter. The lidar survey was accomplished with a Leica ALS50 Phase II mounted in a Cessna Caravan with an average yield pulse density of 8 pulses/m2 over the Sunset Crater Lidar terrain. Project Site: Sunset Crater National Monument which is located in Coconino County Arizona; Acres of Lidar collected 10,233; Date of Acquisition 09/16/2012; Lidar Format LAS v 1.2.", "identifier": "OT.022015.26912.1", "modified": "2015-02-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lidar", "Light Detection and Ranging", "high-resolution", "elevation data", "topography", "National Park Service", "NPS", "Sunset Crater Volcano National Monument", "Sunset Crater", "SUCR", "Coconino County", "Arizona" ], "spatial": "-111.55,35.35,-111.46,35.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K0726C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "State of Utah Acquired Lidar Data - Wasatch Front", "description": "The State of Utah, including the Utah Automated Geographic Reference Center, Utah Geological Survey, and the Utah Division of Emergency Management, along with local and federal partners, including Salt Lake County and local cities, the Federal Emergency Management Agency, the U.S. Geological Survey, and the U.S. Environmental Protection Agency, have funded and collected over 8380 km2 (3236 mi2) of high-resolution (0.5 or 1 meter) Lidar data across the state since 2011, in support of a diverse set of flood mapping, geologic, transportation, infrastructure, solar energy, and vegetation projects. The datasets include point cloud, first return digital surface model (DSM), and bare-earth digital terrain/elevation model (DEM) data, along with appropriate metadata (XML, project tile indexes, and area completion reports). This 0.5-meter 2013-2014 Wasatch Front dataset includes most of the Salt Lake and Utah Valleys (Utah), and the Wasatch (Utah and Idaho), and West Valley fault zones (Utah). Other recently acquired State of Utah data include the 2011 Utah Geological Survey Lidar dataset covering Cedar and Parowan Valleys, the east shore/wetlands of Great Salt Lake, the Hurricane fault zone, the west half of Ogden Valley, North Ogden, and part of the Wasatch Plateau in Utah.", "identifier": "OT.122014.26912.1", "modified": "2015-01-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Utah", "Box Elder", "Weber", "Davis", "Salt Lake", "Juab", "Idaho", "Oneida", "Wasatch Fault", "Wasatch Front", "lidar" ], "spatial": "-112.39,39.2,-111.54,42.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TH8JNQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UMD-NASA Carbon Mapping /Sonoma County Vegetation Mapping and Lidar Program", "description": "This survey covers all of Sonoma County as well as two small portions of southern Mendocino County. Data were provided by the University of Maryland and the Sonoma County Vegetation Mapping and Lidar Program under grant NNX13AP69G from NASA's Carbon Monitoring System (Dr. Ralph Dubayah, PI). The Sonoma County Vegetation Mapping and Lidar Program is NASA/UMD's local partner in this project- its members are as follows: the Sonoma County Agricultural Preservation and Open Space District, the Sonoma County Water Agency, the California Department of Fish and Wildlife, the United States Geological Survey, the Sonoma County Information Systems Department, the Sonoma County Transportation and Public Works Department, the Nature Conservancy, and the City of Petaluma.These data will be used for various research projects throughout Sonoma County. They are critical to assessing climate mitigation and adaptation strategies and benefits provided by the landscape, such as the amount of carbon sequestration in forests or the degree to which riparian areas, floodplains, and coastal habitats may buffer extreme weather events. Other research applications include groundwater, ecosystem services valuation, ecosystem resiliency, and wildlife habitat connectivity. Finally, these data sets are key to facilitating good planning and management for watershed protection, flood control, fire and fuels management and wildlife habitat conservation.The data was collected between September 28 and November 26, 2013 by Watershed Sciences, Inc. (WSI). Lidar was collected at high density greater than 8 pulses per square meter. WSI used two airplanes, one carrying a Leica ALS50 and the other a Leica ALS70; systems were flown at 900 meters above ground level, capturing a scan angle of 15 degrees from nadir (30 degree field of view). 4-band, 6-inch resolution aerial photography was collected simultaneously with the Lidar data.", "identifier": "OT.092014.2871.1", "modified": "2014-10-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sonoma County", "Lidar", "Vegetation and Habitat Mapping", "Carbon Mapping", "Biomass Mapping", "Riparian Mapping" ], "spatial": "-123.54,38.11,-122.35,39.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G73BM1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mount Shasta, CA: Quaternary Debris Avalanche", "description": "NCALM Seed. PI: Riccardo Tortini, Michigan Technological University. The survey area consisted of a polygon located 115 km North of Redding, California. These data were collected to investigate the largest quaternary debris avalanche deposit off of the Mount Shasta Volcano in Northern California. These data were collected August 5, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26910.1", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-122.53,41.51,-122.38,41.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97P8WB8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Gabilan Mesa, CA: Valley Alluviation effects on Hillslope-Channel Coupling", "description": "NCALM Seed. PI: Sam Johnstone, Stanford University. The requested survey area is an irregular polygon located 10 km east of King City, California in the Wildhorse Valley of the Gabilan Mesa. The data were collected to investigate the impacts of valley alluviation on hillslope-channel coupling. The polygon at its widest point is approximately 13 km long by 5 km high and encloses approximately 75 square km. The survey took place on August 11, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26910.2", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-121.04,36.17,-120.86,36.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9416V04", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mapleton, OR: Transient Landscape Evolution in the Oregon Coast Range", "description": "NCALM Seed. PI: Kristen Sweeney, University of Oregon. The survey area is a polygon located 60 Km West of Eugene, Oregon. The polygon encloses approximately 42 square km. The data were collected to investigate the morphological and soil chemistry signatures of transient landscape evolution in the Oregon Coast Range. The survey took place on August 03 and August 04, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26910.3", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.86,43.91,-123.71,43.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VH5KS3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Santa Maria River, AZ: Vegetation and channel form", "description": "NCALM Seed, PI: Sharon Bywater-Reyes, University of Montana. Riparian vegetation and channel process and form are intimately linked in many rivers. Pioneer woody riparian seedlings recruit on river bars and alter hydraulics and sediment transport, thus changing bar morphology. Explanations of barform morphodynamics have emphasized the role of bar-induced convective accelerations, steering of the flow, and resulting effects on sediment. The influence of vegetation on bar evolution, however, has not been integrated into our current understanding of barform morphodynamics. This ALSM dataset was collected via an NCALM Seed Grant to quantify how vegetation (cottonwood and tamarisk) changes barform morphology, and how vegetation and related topography collectively influences barform morphodynamics. This research has implications for understanding how vegetation influences channel form.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26912.2", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Santa Maria River", "Tamarisk", "Cottonwood", "Riparian Vegetation", "Channel Form", "lidar", "NCALM" ], "spatial": "-113.53,34.28,-113.33,34.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QR4V2S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Triangle Lake, OR: Earthquake Induced Landslide", "description": "NCALM Seed. PI: Corina Cerovski-Darriau, University of Oregon. The survey consists of two separate polygons located 38 km west of Eugene Oregon in the Oregon Coast Range. Together the polygons enclose approximately 40 square km. The data were collected to investigate a possible fault triggered landslide in the densely forested Oregon Coast Range. The survey took place on August 02, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26910.4", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.64,44.01,-123.46,44.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M043BR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Rafael, UT: Survey of Exposed Subsurface Volcanic Features", "description": "NCALM Seed. PI: Jacob Richardson, University of South Florida. The survey area is a rectangular polygon located 85 km southwest of Green River, Utah in the San Rafael region of the state. The polygon is approximately 4.5 km wide by 8.3 km long and encloses 54 square km. The data were collected to look at exposed subsurface volcanic features in San Rafael, Utah. The survey took place on August 14, 2013.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052014.26912.1", "modified": "2014-08-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.15,38.59,-111.07,38.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G908638S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Rapid Response to 2011 Mississippi Flood", "description": "NCALM Project. PI: Praveen Kumar, University of Illinois. The survey area consisted of a polygon located near the confluence of Ohio and Mississippi rivers, about 35 km east of Sikeston in the southeastern edge of the state of Missouri. These data were collected as a rapid response to a flooding event on the Mississippi River. The data were collected June 21-23, 2011.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032014.26916.1", "modified": "2014-05-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-89.28,36.76,-89.08,36.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CF9N1J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Central U.S. ARRA Lidar, New Madrid Seismic Zone", "description": "This dataset is intended for researchers interested in active tectonics and earthquake hazards research in the New Madrid Seismic Zone. The target areas were developed and defined by USGS scientists in collaboration with colleagues working in this region. The target areas are: the Blytheville Arch, the Meeman-Shelby lineament, the Reelfoot scarp and the northern New Madrid area. The data collection and processing were purchased by the U.S. Geological Survey using funds provided via the American Recovery and Reinvestment Act of 2009 (ARRA).", "identifier": "OT.022014.32616.1", "modified": "2014-04-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Central U.S.", "New Madrid Seismic Zone", "lidar" ], "spatial": "-90.12,35.24,-89.3,36.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N014G4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "South Florida Everglades", "description": "NCALM Seed. PI: Emanuelle Feliciano, University of Miami. The survey area is defined by three rectangular polygons located in Everglades National Park west of Homestead, Florida. Data were collected to estimate tree height and above ground biomass in the South Florida Everglades wetland ecosystem. The survey was conducted November 17, 2011 and covers an area of 53 square kilometers.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082013.26917.1", "modified": "2013-09-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-81.1,25.35,-80.61,25.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XG9P2Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "California Coast: Big Creek, Vincente, Arroyo Seco, Scotts Creek, UCSC", "description": "NCALM Project, PI: Noah Finnegan, University of Claifornia, Santa Crus. The Areas of Interest (AOIs) are five regions: Scotts Creek, the UCSC campus, Arroyo Seco, Big Creek and Vicente with a total surface area of 375 square kilometers. The Scotts Creek and UCSC polygons are located north of Santa Cruz, CA and the Arroyo Seco, Big Creek and Vicente polygons are located south east of Big Sur, CA and west of King City, CA. Data were collected March 8-11, 2011.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082013.26910.1", "modified": "2013-09-24", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-122.28,36.04,-121.27,37.17", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SQ8XB0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Victor Harbour - South Australia, 2011", "description": "The Victor Harbour Lidar Project was capture during September 2011 by Photomapping Services using an airborne Optech Gemini Lidar system. The data was captured in order to provide surface, vegetation and intensity information to be used in coastal management. The final LAS dataset has been processed to Level 2 of the ICSM Lidar Specification. Several derivative products have then been produced from the orthometric corrected laser surface.", "identifier": "OT.062013.28354.1", "modified": "2013-06-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "land", "topography", "hazards", "tsunamis", "water", "surface", "storm surge", "flooding", "Victor Harbor", "lidar" ], "spatial": "138.54,-35.61,138.98,-35.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9251G47", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Flathead Lake Biological Station, MT (May 2005)", "description": "NCALM Project. PI: Mark Lorang, The University of Montana- Missoula. The survey area is an 90 square kilometer box located 40 km northeast of Kalispell, Montana This area was flown on May 29, 2005 and completed on May 30, 2005. Lidar data from the Nyack Floodplain on the Middle Fork of the Flathead River was collected for several purposes. The first was to provide a base image from which we could place a network of groundwater wells. The data was also used combination with optical remotes sensing data, both airborne and satellite, to identify pixels within multispectral optical imagery that corresponded to various vegetation height elevations. Those pixels were then separately classified by vegetation type. Data was also used to conduct simple flood inundation modeling of the floodplain and in combination with measures of flow depth and velocity extracting water surface elevation from the lidar to map the spatial distribution of stream power. This area has a repeat survey from Spetember 2005: Flathead Lake Biological Station, MT (September 2005).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26912.2", "modified": "2013-06-03", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-113.89,48.41,-113.75,48.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95X26V7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Solfatara Plateau Obsidian Lava Flow, Yellowstone National Park, WY", "description": "NCALM Seed. PI: Kenneth Befus, University of Texas at Austin. The survey area consisted of a rectangular polygon on the Solfatara Plateau within Yellowstone National Park, WY. The polygon encloses about 56 square km. The survey required 2 flights due to smoke from a wildfire that cut the first flight short: the first took place on August 25, 2012 and the second on September 3, 2012.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26912.1", "modified": "2013-05-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.66,44.61,-110.51,44.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99P2ZKK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hyak, WA: Cedar River Municipal Watershed Snow Modeling", "description": "NCALM Seed. PI: Susan Dickerson, University of Washington. The requested survey area consisted of four separate polygons within the Cedar River Municipal Watershed approximately 12 km west of Hyak, Washington. The surveyed area encloses approximately 70 square kilometers. The survey required 2 flights; the first took place on August 31, 2012 and the second on September 1, 2012.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26910.2", "modified": "2013-05-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-121.62,47.27,-121.44,47.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K64G11", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southwest Flank of Mt.Rainier, WA", "description": "NCALM Seeds. PIs: Nicholas Legg, Oregon State University and Scott Anderson, University of Colorado, Boulder. The requested survey area consisted of two separate polygons within the boundary of Mount Rainier National Park in Washington on the southwestern flank of the volcano. Their close proximity enabled the two surveys to be flown most efficiently as a single polygon. The eastern polygon (Legg) covers the Kautz Creek watershed and was collected to investigate landscape response to debris flows in order to implicate hazards in Mt. Rainier National Park. The western polygon (Anderson) covers the Tahoma Creek watershed and was collected to assess climatically-driven aggradation in a mountain stream. The total area for the combined survey including the area between the requested polygons and the additional coverage in the northwest corner is approximately 123 square kilometers. The survey required 4 flights which took place from August 28, 2012 - September 1, 2012.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26910.1", "modified": "2013-05-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-121.94,46.72,-121.74,46.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PZ56R1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Raleigh Peak, Colorado: May 2010", "description": "NCALM Project. PI: Greg Tucker, University of Colorado, Boulder. The survey area totals 62 square kilometers and consists of one irregular polygon located ~45 km southwest of Denver, Colorado, and ~30 km west of Castle Rock, Colorado. The survey took place on May 7, 2010.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26913.2", "modified": "2013-05-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-105.27,39.33,-105.15,39.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TM782F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2010 CU-Boulder Campus and Flatirons", "description": "NCALM Project. PI: Shane Grigsby, University of Colorado, Boulder. lidar survey of the CU-Boulder campus as part of a solar energy potential and photovoltaic planning study. The acquisition covers 45 km2 and includes East Campus, West Campus, and South Campus, as well as portions of the Flatirons and surrounding areas in multiple return, classified points. The CU Environmental Center is using the lidar data, combined with building footprint vector data from the campus GIS system, to facilitate site selection for new solar arrays. The lidar data and terrain products enables analysis of insolation using the GRASS GIS implementation of the SOLPOS 2.0 (SOLar POSition and intensity) algorithm developed and maintained by the National Renewable Energy Laboratory (NREL). This allows campus solar sites to take into account day length, position of the sun, seasonal atmospheric effects, orientation and the local shading effects from trees, buildings and other structures.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26913.1", "modified": "2013-05-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CU", "CU-Boulder", "University of Colorado", "Boulder Creek", "Bear Creek", "Flatirons", "Green Mountain", "Bear Mountain", "Flagstaff Mountain", "Dinosaur Mountain", "South Boulder Peak", "lidar", "NCALM" ], "spatial": "-105.32,39.94,-105.21,40.03", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZC80SR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "White Mountain Fault Zone, Owens Valley, CA", "description": "NCALM Seed. PI: Zachery Lifton, Georgia Institute of Technology. The survey area consisted of a polygon located 15 km northeast of Bishop, California. The polygon is approximately 47 square kilometers. The survey took place on July 04, 2012. Data were collected to investigate new late Pleistocene slip rates on the White Mountain fault based on lidar data and geochronology.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052013.26911.1", "modified": "2013-05-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-118.37,37.39,-118.3,37.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FF3Q99", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Ladron Peak, New Mexico Survey", "description": "NCALM Seed. PI: Hugo Gutierrez Jurado, New Mexico Tech. The survey area is located east of Ladron Peak in New Mexico, about 40 kilometers north-northwest of Socorro. It consisted of a single polygon enclosing an area of approximately 48 square kilometers. The survey was carried out on September 25, 2007 in a single flight.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26913.1", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-107.05,34.38,-106.95,34.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9348H82", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Columbia, NC: Modeling Coastal Plain Wetland Ecosystems", "description": "NCALM Seed. PI: Jennifer Morse, Duke University. The survey area is a 31 km2 irregular polygon east from Columbia, NC. This area was flown in a single survey flight on November 18, 2008. Data were collected to link biogeochemical and hydrological perspectives to model coastal plain wetland ecosystems.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26918.3", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-76.21,35.88,-76.13,35.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QV3JG3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Sheepscot, Narragaugus and Pleasant Rivers, Maine", "description": "NCALM Project. Noah Snyder, Boston College. The survey areas are three irregular polygons containing the watersheds of three rivers in Maine: the Sheepscot, Narragaugus, and Pleasant. These areas were flown in thirteen survey flights beginning on October 31, 2007 and were completed on November 11, 2007. Data were collected to investigate land use, geologic and climatic controls on stream processes in northern New England.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26919.1", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-69.67,44.03,-67.87,45.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M61H5D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southern Sierra Nevada Critical Zone Observatory: Snow On", "description": "Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6). This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26911.1", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Southern Sierra", "CZO", "Lidar", "Critical Zone Observatories", "SSCZO", "NCALM" ], "spatial": "-119.74,36.57,-118.61,37.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GF0RFP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southern Sierra Nevada Critical Zone Observatory: Snow Off", "description": "Southern Sierra CZO Lidar flight was acquired in 2010 and consists of 2 flights - Snow on and snow off. Each flight has 6 sub-areas defined as: Bull (Area 1), Courtwright Road (Area 2), Providence (Area 3), San Joaquin Range (Area 4), Soaproot Saddle (Area 5), and Wolverton (Area 6). This dataset includes 1m digital surface model (filtered and unfiltered), 1m digital elevation models (filtered and unfiltered), and the raw Lidar point clouds (LAS format) in 1 km by 1 km tiles. Data acquisition, ground-truthing, vegetation surveys and processing were coordinated by Dr. Qinghua Guo and funded by NSF Award (EAR-0922307 , PI. Qinghua Guo), which aims to collect Lidar data at all CZOs, including extracting vegetation characteristics from the LIDAR point cloud data. The Southern Sierra CZO is mainly focused on how water, soils, and climate interact with processes from the subsurface to the atmosphere.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26911.2", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Southern Sierra", "CZO", "Lidar", "Critical Zone Observatories", "SSCZO", "NCALM" ], "spatial": "-119.75,36.57,-118.61,37.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BP00QB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Susquehanna Shale Hills Critical Zone Observatory: Leaf On Survey", "description": "This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26918.1", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Shaver's Creek", "Shale Hills", "Pennsylvania", "lidar", "NCALM" ], "spatial": "-78.09,40.56,-77.84,40.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96W980G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Susquehanna Shale Hills Critical Zone Observatory: Leaf Off Survey", "description": "This high-resolution lidar survey covers an area of 209 km2 located 10 miles southwest of State College, Pennsylvania. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak leaf-on and leaf-off conditions in 2010 (July 2010 and December 2010, respectively). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets were used to estimate vegetation biomass and distributions, provide bare earth elevations, and to assist with prediction of Critical Zone creation and structure.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.042013.26918.2", "modified": "2013-05-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Shaver's Creek", "Shale Hills", "Pennsylvania", "lidar", "NCALM" ], "spatial": "-78.09,40.56,-77.84,40.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VM496T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Utah Geological Survey Lidar", "description": "The Utah Geological Survey (UGS) as part of its mission to provide timely scientific information about Utah's geologic environment, resources, and hazards, acquires Lidar data with its partners in support of various geologic mapping and research projects. In 2011, the UGS and partners acquired approximately 4927 square kilometers of 1 meter Lidar data over the Cedar/Parowan Valley, Great Salt Lake shoreline/wetlands, Hurricane fault zone, Lowry Water, Ogden Valley, and North Ogden areas of Utah. The datasets include raw LAS, LAS, DEM, DSM, and metadata (includes XML metadata, project tile indexes, and area completion reports) files. The datasets acquired by the UGS and its partners are in the public domain and can be freely distributed with proper credit to the UGS and its partners. These datasets were funded by the Utah Geological Survey, with the exception of the Great Salt Lake area, which was funded by the U.S. Environmental Protection Agency (grant no. CD-96811101-0) and the UGS, and the North Ogden area, which was funded by the Utah Division of Emergency Management, Floodplain Management Program.", "identifier": "OT.042013.26912.1", "modified": "2013-05-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Utah", "Box Elder", "Weber", "Davis", "Salt Lake", "Tooele", "Iron", "Washington", "Sanpete", "Emery", "Cache", "lidar" ], "spatial": "-113.32,36.99,-111.24,41.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90C4SPQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007)", "description": "NCALM Project. PI: Sara Tebbens, Wright State University. This Lidar survey was conducted over the North Carolina Outer Banks between Cape Lookout and Manteo on July 8, 2007. This dataset contains only filtered points. This area was previously surveyed in June 2006 and data are available through OpenTopography: North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006). The vertical datum for the unfiltered and filtered lidar returns are as follows: unfiltered points- GRS80 ellipsoid heights, filtered points- NAVD88 elevations.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26918.2", "modified": "2013-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-76.54,34.57,-75.46,35.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91C1TT3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "North Carolina Coast: Quantifying Patterns of Coastal Change (June 2006)", "description": "NCALM Project. PI: Sara Tebbens, Wright State University. This Lidar survey was conducted over the North Carolina Outer Banks between Cape Lookout and Manteo on June 22, 2006 (GPS Day 173). The survey window needed to be optimized for both a low PDOP (strong satellite geometry) and low tide, with low tide being more essential. Both of these objectives were successfully met as best as possible. Low tide at Cape Hatteras on June 22 (06/22/2006) was 11:02AM LDT and was predicted at -0.2 L. Our survey time was from 10:10 AM - 1:30 PM which included degraded PDOP from 12:15 - 12:45, but was otherwise good. Three flight passes were required to cover the coastline. The coastline was flown by eye since navigation waypoints for this project were not provided. Data available through OpenTopography were collected at a \"low pass\" height (600 meters). This area was re-surveyed in July 2007 and data are available through OpenTopography: North Carolina Coast: Quantifying Patterns of Coastal Change (July 2007)Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26918.1", "modified": "2013-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-76.53,34.61,-75.46,35.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9542KJT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "St. Elis Mountains and Gulf of Alaska", "description": "PI: Terry Pavlis, University of New Orleans. The survey area consists of two polygons along the Gulf of Alaska. The western polygon was partially flown on September 2, 2005 (2 flights) and completed on September 8, 2005 (2 flights). This area is located approximately 56 miles southeast of Cordova, Alaska. The eastern polygon over the Sullivan Anticline is located about 140 miles southeast of Cordova, AK. The Sullivan Anticline was surveyed with 5 flights over a period of 8 days from September 3, 2005 through September 10, 2005. Low clouds and a substantial amount of rain precluded the completion of this polygon, but all lines except four were flown. Please note that the Sullivan polygon (eastern) ONLY contains ground points.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26906.1", "modified": "2013-03-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-144.61,59.97,-141.75,60.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R20Z92", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mojave Desert, CA: Evolution of the Hector Mine Earthquake Surface Rupture", "description": "NCALM Seed. PI: Frank Sousa, Caltech. The survey area consisted of a polygon located 90 km East of Victorville, California in the Marine Corps Air Ground Combat Center. The polygon is approximately 48 km long by 1.5 km wide and encloses approximately 71 km. The survey took place on May 27, 2012.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.32611.1", "modified": "2013-03-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-116.39,34.35,-116.13,34.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HD7SKH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Flathead Lake Biological Station, MT (September 2005)", "description": "NCALM Project. PI: Mark Lorang, The University of Montana- Missoula. The survey area is an 90 square kilometer box located 40 km northeast of Kalispell, Montana This area was flown on September 14, 2005 and completed on September 15, 2005. Lidar data from the Nyack Floodplain on the Middle Fork of the Flathead River was collected for several purposes. The first was to provide a base image from which we could place a network of groundwater wells. The data was also used combination with optical remotes sensing data, both airborne and satellite, to identify pixels within multispectral optical imagery that corresponded to various vegetation height elevations. Those pixels were then separately classified by vegetation type. Data was also used to conduct simple flood inundation modeling of the floodplain and in combination with measures of flow depth and velocity extracting water surface elevation from the lidar to map the spatial distribution of stream power. This area has a repeat survey from May 2005: Flathead Lake Biological Station, MT (May 2005).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26912.1", "modified": "2013-03-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-113.88,48.41,-113.76,48.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97W694V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northern California Coast: Slope Failure in Low and High Uplift Regions", "description": "NCALM Seed. PI: Seul Gi Moon, Stanford University. The survey area consisted of two separate polygons shown with red outlines below in Figure 1. The North polygon is located approximately 35 km West of Garberville, California and the South polygon is located approximately 42 km South of Garberville, California. The total area for the 2 polygons is approximately 47 km2. The survey took place on July 05, 2012.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26910.1", "modified": "2013-03-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-124.22,39.7,-123.73,40.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N29TWH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "North Sister, OR: Collier Cone Lava Flow", "description": "NCALM Seed. PI: Nick Deardorff, University of Oregon. The survey area is an irregular polygon in the Cascade Mountains covering the Collier cone lava flow on North Sister, approximately 40 km WNW of Bend, OR and enclosing 71 square kilometers. This area was flown in a single survey flight on July 28, 2008.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26910.3", "modified": "2013-03-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-121.96,44.14,-121.76,44.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WM1BB6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Parts of Potomac and Susquehanna Rivers", "description": "NCALM Project. PI: Paul Bierman, University of Vermont. The survey area consisted of two polygons: 1) over a portion of the Potomac River in Washington D.C. enclosing 60 square km; and 2) over a portion of the Susquehanna River in Pennsylvania enclosing 23 square km. The Susquehanna survey took place on January 9, 2005 and the Potomac survey took place on January 11, 2005.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26918.3", "modified": "2013-03-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-77.31,38.95,-76.25,39.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RV0KMG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Death Valley National Park, CA: Badwater Basin", "description": "NCALM Project. PI: Thad Wasklewicz, East Carolina University. The survey area consisted of two polygons totaling 128 square km south of Badwater in Death Valley National Park. The survey took place over three flights from 5/29/2003 - 6/03/2003. Point cloud data are unclassified.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032013.26911.1", "modified": "2013-03-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-116.87,35.94,-116.71,36.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98W3B87", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Coastal Dune Fields of Garopaba and Vila Nova, Santa Catarina State, Brazil", "description": "PI: Carlos H. Grohmann, University of Sao Paulo, Brazil. Data covers a 10 square kilometer area of two coastal dune fields (Garopaba and Vila Nova) in southern Brazil and was collected October 18, 2010. The purpose of the survey was to investigate the morphometry and evolution of coastal dune fields.", "identifier": "OT.032013.32722.1", "modified": "2013-03-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Coastal dune field", "Quaternary", "Brazil", "lidar" ], "spatial": "-48.73,-28.32,-48.63,-27.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DN430Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "PG&E Diablo Canyon Power Plant (DCPP): San Simeon, CA Central Coast", "description": "The Diablo Canyon Power Plant (DCPP) Lidar and Imagery datasets are comprised of three separate Lidar surveys: Diablo Canyon (2010), Los Osos (2011), and San Simeon (2013). The DCPP San Simeon project study area is located primarily in San Luis Obispo County, California, encompasses approximately 195,000 acres (801 km2), and measures 75 miles in length. Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data and orthophotography across the DCPP San Simeon survey area from 29 January 2013 to 25 February 2013. For optimal capture of the intertidal zone, WSI acquired Lidar data of the coastline during seasonal low tides between 7 February 2013 and 10 February 2013. The lidar survey utilized a Leica ALS70 sensor in a Cessna Caravan, and an Optech Orion sensor in a Bell Long Ranger. The Leica system was used for acquisition of the inland portion of the study area. It was set to acquire 240,000 laser pulses per second (i.e., 240 kHz pulse rate) and flown at 1,100 meters above ground level (AGL), capturing a scan angle of \u00b115\u00b0 from nadir. The Orion system was used to acquire the intertidal portion of the study area. It was set to acquire 175,000 laser pulses per second and flown at 300 meters AGL, capturing a scan angle of \u00b113\u00b0 from nadir. Both laser systems were programmed to yield an average native pulse density of \u22658 pulses per square meter over terrestrial surfaces. Digital orthophotos were collected using a 260 megapixel ultra large format digital aerial camera. Image radiometric values were calibrated to specific gain and exposure settings associated with each capture using Microsoft's UltraMap software suite. The calibrated images were saved in TIFF format for input to subsequent processes. Photo position and orientation were calculated by linking the time of image capture, the corresponding aircraft position and attitude, and the smoothed best estimate of trajectory (SBET) data in POSPAC. Within the Inpho software suite, automated aerial triangulation was performed to tie images together and to align with ground control. The orthophotos were delivered in 0.375 USGS tiles with a 3'' pixel resolution. This survey was flown in conjunction with the DCPP Senior Seismic Hazard Analysis Committee (SSHAC) Level 3 process and as part of the DCPP Long-Term Seismic Program (LTSP). In addition to aerial Lidar data, DEM and orthophotography raster data are available for this area: San Simeon DEMs and Orthophotos.", "identifier": "OT.032013.26910.2", "modified": "2013-02-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Luis Obispo County", "San Simeon", "Cambria Faults", "Monterey County", "California", "PG&E", "DCPP", "lidar" ], "spatial": "-121.41,35.12,-120.4,35.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CN71V5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mojave Desert, CA: Precariously Balanced Rocks in Seismic Hazard Analysis", "description": "NCALM Seed. Jonathan Harvey, University of California, Santa Barbara. The survey area is defined by a 45 square kilometer rectangular polygon located along Interstate 40 between Daggett and Needles in the Mojave Desert of California (~110 km east of Daggett). Ground classification was not performed on these data per PI request. The project area had sparse vegetation and extremely steep cliffs and canyons.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022013.26911.2", "modified": "2013-02-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-115.72,34.72,-115.65,34.79", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92B8VZX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "South Fork Eel River, CA Watershed Morphology", "description": "NCALM Project. Mary Power, University of California Berkeley. The survey area consisted of a polygon located 20 kilometers east of Dos Rios, California. The survey took place over eight flights from 6/27/2004 to 6/30/2004.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022013.26910.1", "modified": "2013-02-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.74,39.6,-123.49,39.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9639MPN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2010)", "description": "NCALM Project. PI: John Gartner, Dartmouth College. The survey area covers a 45 square kilometers along the Ashelot River, south of Keene and crossing West Swanzey, New Hampshire. Data were collected to quantify the geomorphic and sedimentological responses to dam removal. Repeat survey from 2011: West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River (2011)Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022013.26918.1", "modified": "2013-02-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-72.38,42.81,-72.24,42.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XK8CG1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yosemite National Park: Poopenaut Valley and Wawona", "description": "NCALM Project. PI: Greg Stock, National Parks Service. The areas of interest are defined by three irregular polygons: Poopenaut, Wawona, and Wawona flood plain located in Yosemite National Park. The polygons are located approximately 110 km east of Modesto, CA and 115 km north of Fresno, CA.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022013.26911.1", "modified": "2013-02-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.84,37.52,-119.61,37.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99W0CDM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Missisquoi Watershed Lidar", "description": "Lidar data for the United States portion of the Missisquoi Watershed in Northern Vermont. Data were collected during leaf-off conditions in 2008 and in 2009 while no snow was on the ground and rivers were at or below normal levels. The Lidar data were acquired at a nominal post spacing of 1.4 meters. Points were classified as ground (LAS class 2) using a combination of automated and manual techniques. The data were acquired by Photoscience and subsequently reviewed by the USGS and The University of Vermont. The data are made available on OpenTopography through a grant from AmericaView.", "identifier": "OT.022013.32145.1", "modified": "2013-02-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Missisquoi", "Watershed", "Vermont", "Lidar", "Lake Champlain", "Franklin", "St" ], "spatial": "-73.29,44.66,-72.39,45.06", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ST7MR9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2006 INEGI Sierra Cucupah Empirically Corrected Lidar Dataset", "description": "These airborne lidar data were gathered by the Instituto Nacional de Estadistica y Geografia of Mexico as part of a regional mapping activity in northwestern Mexico. They span the area that ruptured in the April 2010 M7.2 El Mayor Cucupah earthquake which was laser scanned and for which data are available in OpenTopography's holdings. Alejandro Hinojosa of CICESE is the contact person for these data. This version of the data has been empirically corrected by Craig Glennie and colleagues at the University of Houston. Details for the data corrections as follows: Rather than trying to correct the whole dataset, we just concentrated on the portion that overlaps with the post-event data. Here is a brief summary of what we did: (1) Pre-Event Data was given in ITRF 1992 (1988.0 epoch) and post-event NCALM data was processed in ITRF2000 (Epoch 2010.627). NGS software package HTDP was used to compute a coordinate shift between these two reference frames (-0.900 m East, 0.429 m North, 0.004 m Up). To correct the 2006 data to the same datum as the NCALM data, we added the vector (-0.900,0.429,0.004) to all of the pre-event data points. (2) Original dataset contained all scan data out to +/- 28 degree scan angle. There are significant problems at the outer edge of the scan, so all scan lines were cropped to +/-24 degrees. This results in minimal overlap between scan lines, but doesn't create any data gaps between flight lines. (3)Dataset was then re-boresighted. We determined a roll and pitch offset for each flight line individually, plus a global mirror scale factor. (4) Finally, we determined an individual delta \"z\" correction for each flightline. Note that for all of the above adjustments, none of the post-earthquake data was used. We purposely sequestered the two datasets so as not to inadvertently remove differences caused by the earthquake. To give an idea of the magnitude of the improvement, on the pre-event dataset (as delivered to me) in the overlap, we were seeing average elevation differences of 95 cm (1 sigma). After cropping the data to 24 degrees, the average elevation differences were 70 cm (1 sigma) After steps (3) and (4) above, the average elevation differences were reduced to 52 cm (1 sigma). So overall, it appears we were able to reduce the vertical errors by almost a factor of two.", "identifier": "OT.102012.32611.1", "modified": "2013-02-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar" ], "spatial": "-115.81,32.22,-115.17,32.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S180F8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Henry Mountains, UT: Hillslope-Channel Coupling in a Bedrock Landscape", "description": "NCALM Seed. PI: Skye Corbett. San Francisco State University. The survey area is an irregular polygon in the Henry Mountains, UT and enclosing 65 square kilometers. Data were collected to investigate hillslope-channel coupling in the Henry Mountains, Utah.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26912.2", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.6,37.82,-110.47,37.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9736NT1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "White Canyon and Hite, Lake Powell, Utah", "description": "NCALM Seed: Jim Evans, Utah State University. The survey area consisted of an irregular polygon, 92 square kilometers, located on Lake Powell at White Canyon and Hite, Utah. Data were collected from February 17, 2005 to February 23, 2005. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26912.2", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.5,37.77,-110.26,37.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M906KQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Merced, CA: Origin and Evolution of the Mima Mounds", "description": "NCALM Seed Project. PI: Sarah Reed, University of California, Berkeley. This lidar survey was conducted on Sunday, September 17, 2006 on a 33 square kilometer polygon northeast of Merced in Merced County, California. These data were collected to investigate the origin and evolution of Mima mounds in California's Central Valley.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26910.2", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-120.46,37.39,-120.38,37.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93B5X3Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Plum Island, MA", "description": "NCALM Project. PI: Vinton Valentine, Woods Hole Marine Biological Laboratory. The survey area is an irregular polygon (148 square kilometers) at the Plum Island River in northeast Massachusetts. The eastern third of the polygon was flown on Monday April 18, 2005. The central third was flown early Tuesday morning April 19, 2005 and the last third (the Parker River area) was flown on the afternoon of the 19th.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26986.1", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-70.96,42.65,-70.74,42.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TT4NWP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "White Sands National Monument, NM: Lidar Survey of Dune Fields (Sept 2009)", "description": "NCALM Project. PI: Gary Kocurek, University of Texas at Austin. The survey area is a rectangular polygon on the White Sands National Monument, lying west of Holloman Air Force Base NM and enclosing 59 square kilometers. This dune field has been repeatedly surveyed in January 2009 and June 2010.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26913.2", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.32,32.8,-106.19,32.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZK5DMD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "White Sands National Monument, NM: Lidar Survey of Dune Fields (Jan 2009)", "description": "NCALM Project. PI: Gary Kocurek, University of Texas at Austin. The survey area is a rectangular polygon on the White Sands National Monument, lying west of Holloman Air Force Base NM and enclosing 47 square kilometers. This dune field has been repeatedly surveyed in June 2009 and June 2010.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26913.1", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.31,32.8,-106.2,32.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q23X5P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yellowstone National Park, WY: Quantifying Gravel-Bed Rivers", "description": "NCALM Seed. PI: Carl Legleiter, UC Santa Barbara. The survey area consisted of 2 polygons located in the northeast end of Yellowstone National Park in Wyoming. Data were collected to quantify connections between channel change, sediment, transfer, and reach-scale spatial structure in gravel-bed rivers of northern Yellowstone. The survey took place on August 2, 2007.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26912.3", "modified": "2013-01-28", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.31,44.81,-110.06,45.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BR8Q44", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Gabriel Mountains, CA: Tectonics and Topography", "description": "NCALM Seed. PI: Roman DiBiase, Arizona State University. The survey area consists of a 53 square kilometer polygon located in San Gabriel Mountains, Northeast of Los Angeles, California. Data were collected on July 17, 2007 to investigate the connection between tectonics and topography.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26911.3", "modified": "2013-01-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-118.08,34.28,-117.96,34.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GH9FVF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Greybull, WY: Sheep Mountain Anticline", "description": "NCALM Seed. PI: David Pollard, Stanford University. The survey area is located in north-central Wyoming, about 14 kilometers northwest of the town of Greybull. Lidar data were collected on July 13, 2007 of the Sheep Mountain Anticline.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26912.1", "modified": "2013-01-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-108.3,44.55,-108.06,44.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94B2Z73", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Truckee, CA: Sagehen Creek Snowpack Measurement", "description": "NCALM Seed. PI: Justin Huntington, Desert Research Institute, Reno, NV. The survey area is a 48 square kilometer irregular polygon in the Sierra Nevada Mountains, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26910.1", "modified": "2013-01-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-120.33,39.4,-120.21,39.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90K26HR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Perry Mesa, AZ: Ancient Agricultural Features and Landscape Transformation", "description": "NCALM Seed. PI: Melissa Kruse, Arizona State University. The survey area is a rectangular polygon on Perry Mesa 60 kilometers north of Deer Valley, AZ lying east of Interstate Highway 17 at exit 256. The survey area encloses 61 square kilometers. Data were collected February 5, 2008.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012013.26912.1", "modified": "2013-01-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-112.11,34.16,-111.99,34.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VT1Q1G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Niwot Ridge Long-Term Ecological Research Site, Colorado", "description": "NCALM Seed. PI: Robert Anderson, University of Colorado at Boulder. The survey area is a rectangular polygon about 48 square kilometers located 14 km west of Boulder, Colorado at the Niwot Ridge Long-Term Ecological Research Site. This area was flown and completed on September 29, 2005.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26913.1", "modified": "2013-01-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-105.66,40.0,-105.58,40.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FJ2DQM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Silver Plume, CO", "description": "PI: Dennis Staley, University of Memphis. The survey area consists of 2 polygons west of Silver Plume, Colorado covering a total area of 48 square kilometers. Portions of White River National Forest and Arapaho National Forest are covered in the survey area. The survey was flown and completed on September 29, 2005.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112012.26913.1", "modified": "2013-01-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-105.9,39.61,-105.75,39.75", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N877QJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Great Smokey Mountains, NC", "description": "NCALM Seed. PI: Matthew Jungers, University of Vermont. The project area consisted of a polygon approximately 20 square kilometers located 18 kilometers northwest of Waynesville, N.C. The project area was flown on Tuesday, November 14, 2006.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112012.26917.1", "modified": "2013-01-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-83.2,35.54,-83.15,35.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98050JG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Blind Canyon and Box Canyon, Twin Falls, ID", "description": "PI: William Dietrich, University of California, Berkeley. The project area consists of a polygon approximately 25 square kilometers located 30 kilometers northwest of the city Twin Falls, Idaho. The project area was flown on Monday, December 18, 2006.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112012.26911.1", "modified": "2013-01-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-114.86,42.68,-114.74,42.72", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HH6H07", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Golden Gate National Recreation Area and Mt. Tamalpais State Park, CA", "description": "PI: William Dietrich, University of California, Berkeley The project area consists of two polygons totally approximately 28 square kilometers located 10 kilometers northwest of the north end of the Golden Gate Bridge, San Francisco, CA. The project area was flown on Thursday, December 7, 2006.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112012.26910.1", "modified": "2013-01-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-122.62,37.84,-122.52,37.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CR5R8H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Eel River, CA: Landsliding and the Evolution of Mountainous Landscapes", "description": "PI: Josh Roering, University of Oregon. The survey was conducted in three days over the Eel River at the southwestern corner of Trinity County, the southeastern corner of Humboldt County extending slightly into the northern portion of Mendocino County. Data covers a 264 square kilometer area over the Eel River and was collected from September 24 - 26, 2006. The purpose of the survey was to investigate landsliding and the evolution of mountainous landscapes.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26910.1", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.62,39.95,-123.41,40.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XS5S9P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tender Foot, MT: Hydrological Processes on Hill Slopes", "description": "PI: Mrian McGlynn, Montana State University. The survey area consists of a115 square kilometers located 9 kilometers west of Neihart, Montana. This area was flown and completed on September 19, 2005. Data were collected to investigate hydrological processes on hillslopes in the Tenderfoor Creek, Montana area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26912.4", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.98,46.88,-110.78,46.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92F7KCN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Big Sky, MT: Patterns of Nitrogen Export & Land Use Change", "description": "PI: Kristin Gardner, Montana State University. The survey area is a 249 square kilometer irregular polygon located 21 kilometers west of Big Sky, Montana. Seven flights were made beginning on September 20, 2005 and completing on September 25, 2005. Data were collected to investigate spatial and temporal patterns of nitrogen export and land use change in a mountainous watershed.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26912.3", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.52,45.17,-111.24,45.36", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9668B3C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Furnace Creek Wash, Death Valley National Park, California", "description": "PI: Noah Snyder, Boston College. The survey area is a 38 square kilometer polygon near the Furnace Creek Inn and Ranch in Death Valley National Park, California. This area was flown on February 27, 2005. The data were collected to investigate transient response of a desert river to forced diversion. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26911.4", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-116.87,36.39,-116.78,36.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P848VX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dragons Back Ridge: San Andreas Fault, California", "description": "NCALM Seed. PI: George Hilley, Stanford University. The survey area is a 48 square kilometer irregular polygon centered on the San Andreas Fault southwest of Taft, California. This area was surveyed on May 19, 2005 and covers the Dragon's Back Pressure Ridge.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26911.3", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.66,35.01,-119.5,35.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99Z92TC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sierra National Forest, CA: Soil Formation and Transport", "description": "NCALM Seed. PI: Arjun Heimsath, Dartmouth College. The survey area includes four polygons northeast of Fresno, California with the closest area being 21 kilometers northeast of Fresno and the furthest area being 83 kilometers northeast of Fresno. The total survey area is approximately 50 square kilometers. The data were collected to investigate the soil formation and transport in the southern Sierra Nevada, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26911.2", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.65,36.95,-119.07,37.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FQ9TJQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lawrenceville, IL: Detecting Tectonically Deformed Shorelines", "description": "NCALM Seed. PI: Darryl Granger, Purdue University. The survey area contains seven polygons located 10 km west and 7 kilometers north of Lawrenceville, Illinois. This area was flown and completed on October 1, 2005 and covers an area of 72 square kilometers.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26916.1", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-87.91,38.65,-87.62,38.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KH0K80", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Furnace Creek and Fish Lake Valley Fault Zones, Death Valley National Park", "description": "PI: James Dolan, University of Southern California. The project area consists of two rectangular polygons covering an area of 38 square kilometers. Data were collected along the Furnace Creek and Fish Lake Valley Fault Zones in Death Valley National Park. The data were collected February 28, 2005. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26911.1", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-117.5,36.85,-117.23,37.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T151KN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Raplee Ridge, Utah", "description": "PI: David Pollard, Stanford University. The survey area is a 54 square kilometer rectangle near the town of Mexican Hat, Utah. This area was flown on February 24, 2005 and covers the Raplee Ridge anticline. Bare-earth extraction was not performed on this dataset due to the scarceness of vegetation in the interest area.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26912.1", "modified": "2012-11-21", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-109.84,37.09,-109.8,37.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q81B0Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2011 - 2013 Indiana Statewide Lidar", "description": "Indiana's Statewide Lidar data is produced at 1.5-meter average post spacing for all 92 Indiana Counties covering more than 36,420 square miles. New Lidar data was captured except where previously captured Lidar data exists, or the participating County bought-up to a higher resolution of 1.0-meter average post spacing Lidar data. Existing Lidar data exists for: Porter, Steuben, Noble, De Kalb, Allen, Madison, Delaware, Hendricks, Marion, Hancock, Morgan, Johnson, Shelby, Monroe, and portions of Vermillion, Parke, Vigo, Clay, Sullivan, Knox, Gibson, and Posey. These existing Lidar datasets were seamlessly integrated into this new statewide dataset. From this seamless Lidar product a statewide 5-foot post spacing hydro-flattened DEM product was created and is also available. See the FGDC Metadata provided for more details. This statewide project is divided into three geographic areas captured over a 3-year period (2011-2013):Area 1 (2011) Indiana central counties: St. Joseph, Elkhart, Starke, Marshall, Kosciusko, Pulaski, Fulton, Cass, Miami, Wabash, Carroll, Howard, Clinton, Tipton, Boone, Hendricks, Marion, Morgan, Johnson, Monroe, Brown, Bartholomew, Lawrence, Jackson, Orange, Washington, Crawford, and Harrison. Area 2 (2012) Indiana eastern counties: LaGrange, Steuben, Noble, DeKalb, Whitley, Allen, Huntington, Wells, Adams, Grant, Blackford, Jay, Hamilton, Madison, Delaware, Randolph, Hancock, Henry, Wayne, Shelby, Rush, Fayette, Union, Decatur, Franklin, Jennings, Ripley, Dearborn, Ohio, Scott, Jefferson, Switzerland, Clark, and Floyd. Area 3 (2013) Indiana western counties: Lake, Porter, LaPorte, Newton, Jasper, Benton, White, Warren, Tippecanoe, Fountain, Montgomery, Vermillion, Parke, Putnam, Vigo, Clay, Owen, Sullivan, Greene, Knox, Daviess, Martin, Gibson, Pike, Dubois, Posey, Vanderburgh, Warrick, Spencer, and Perry.Funders of OpenTopography Hosting of the Indiana Statewide Lidar and DEM data: USDA NRCS, Indiana, ISPLS Foundation, Indiana Geographic Information Office, Indiana Office of Technology, Indiana Geological Survey, Surdex Corporation, Vectren Energy Delivery, Indiana, Woolpert, Inc., and Individual IGIC Member Donations from Jim Stout, Jeff McCann, Cele Morris, Becky McKinley, Phil Worrall, and Andy Nicholson.To explore a web map of topographic differencing for the entire state of Indiana click here", "identifier": "OT.062012.4326.1", "modified": "2012-10-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Indiana Statewide", "IndianaMap", "Lidar", "DEM", "Hydro-flattened DEM", "LAS 1.2", "IMG" ], "spatial": "-88.12,37.76,-84.76,41.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9959FHZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Isabel NF, CO: Debris Flow Mechanics and Landscape Evolution", "description": "NCALM Seed. PI: Scott McCoy, University of Colorado, Boulder. The survey area consisted of a 55 square kilometer polygon located 125 kilometers west of Colorado Springs, southwest of Buena Vista in Colorado. Data were collected as a multi-scale natural experiment to investigate debris flow mechanics and landscape evolution.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26913.2", "modified": "2012-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.32,38.71,-106.16,38.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TX3C9D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Bijou Creek, CO", "description": "NSF Project. PI: Greg Tucker, University of Colorado, Boulder. The survey area consists of a 36 square kilometer rectangular polygon along a portion West Bijou Creek, CO. Data were collected April 23, 2007.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26913.1", "modified": "2012-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-104.34,39.52,-104.28,39.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZP4414", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "South Fork Eel River, CA: Understanding Terrace Formation and Abandonment", "description": "NCALM Seed. PI: Jonathan Perkins, University of California, Santa Cruz. The survey area was in the form of a 2.25 kilometer wide and 108 kilometer long corridor following the Eel River, located in California, about 250 kilometers north of San Francisco. Data were collected to study strath terrace formation and abandonment.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26910.4", "modified": "2012-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-124.14,39.7,-123.62,40.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93F4MH1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Oregon Coast Range: Sediment Storage in Debris-Flows", "description": "NSF Project. PI: Stephen Lancaster, Oregon State University. The survey areas are two rectangular polygons 50-70 kilometers southwest of Eugene, Oregon. Portions of Upper Knowles Creek and Upper Wasson Creek, located in the Oregon Coast Range, were surveyed to investigate sediment storage in debris-flows.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26910.2", "modified": "2012-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.93,43.69,-123.67,43.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9765C7R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Luquillo CZO Rio Blanco and Rio Mameyes Lidar Survey 2010-2011", "description": "High-resolution Lidar data were obtained by NCALM for 253 km2 of the Luquillo Critical Zone Observaotry (LCZO) in the Rio Mameyes, Rio Blanco watersheds and coastal zones, Puerto Rico. Due to weather, the data were collected over two campaigns in July 2010 and May 2011, covering the entire survey area. Data acquisition, ground-truthing, vegetation surveys and processing were founded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the Lidar point cloud data.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102012.26920.1", "modified": "2012-10-23", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "El Yunque National Forest", "Luquillo", "Rio Mameyes", "Rio Blanco", "Puerto Rico", "Wet Tropical Forest", "lidar", "NCALM" ], "spatial": "-65.85,18.17,-65.68,18.41", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BZ63ZR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "New Madrid Seismic Zone", "description": "The New Madrid Seismic Zone (NMSZ) has been responsible for producing some of the largest intraplate earthquakes on record (Tuttle et al., 2002). Paleoseismologic studies of sand blows and the Reelfoot fault show that earthquakes occurred in the last 4000 years at intervals of approximately 400-600 years (Kelson et al., 1995; Tuttle et al., 2002; Holbrook et al., 2006). The 1811-1812 NMSZ sequence produced three major earthquakes (M 7-8) followed by several large aftershocks and hundreds of smaller ones, resulting in a felt area that reached the east coast of the United States and caused destruction of several settlements along the Mississippi River due to liquefaction and strong shaking (Nuttli 1973, Johnston and Schweig, 1996). The risk of another large destructive earthquake in this region is of great concern to the USGS and local and federal authorities because several large metropolitan areas (Memphis, Little Rock, Nashville, St. Louis), and hundreds of smaller communities lie in or near the NMSZ.The mechanism for occurrence of earthquakes in the NMSZ is widely debated. Studies reveal the NMSZ is underlain by a failed rifting event, dating from late Precambrian. During the failed rifting event, emplacement of mafic plutons throughout the crustal column took place. Further studies show a correlation between the rift and current seismic activity. This correlation suggests that the source of the earthquakes was from slippage along weak zones within the failed rift caused by the E-W compressive stress of the region, a result of plate motion. Seismic monitoring shows that there is a spatial correlation of the active seismic zone with the failed Reelfoot Rift.", "identifier": "OT.082012.26915.1", "modified": "2012-09-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar" ], "spatial": "-90.46,36.12,-89.9,36.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94F1NND", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yosemite, CA: El Portal, Mariposa Grove, Yosemite Canyon & Tuolumne Meadows", "description": "The survey area consists of five polygons totaling an area of 131 square kilometers covering portions of Yosemite National Park, California. The area of interest includes Yosemite Canyon, El Portal, Mariposa Grove and Tuolumne Meadows. hese data were collected by the National Center for Airborne Laser Mapping (NCALM) on behalf of Greg Stock of the National Parks ServicePublications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26911.2", "modified": "2012-09-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "California", "lidar", "NCALM" ], "spatial": "-119.83,37.5,-119.32,37.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GQ6VP3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yosemite, CA: Spatial & Temporal Patterns of Nitrogen Export", "description": "The survey area consists of a 101 square kilometer polygon over an eastern portion of Yosemite National Park. Data were collected to study spatial and temporal patterns of nitrogen export and land use change in a mountainous watershed. hese data were collected by the National Center for Airborne Laser Mapping (NCALM) on behalf of Steve Martel, University of HawaiiPublications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26911.1", "modified": "2012-09-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.52,37.78,-119.38,37.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MG7MDT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lake Placid, FL: Lidar Survey of the Archbold Biological Station", "description": "PI: Hilary Swain, Archbold Biological Station, Florida. The survey area consists of a 86 square kilometer polygon south of Lake Placid, Florida. The area of interest covers the Archbold Biological Station (ABS), an NSF funded project, which is located 3 miles south of Lake Placid.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26917.1", "modified": "2012-09-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-81.4,27.11,-81.33,27.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R49NQT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Loma Mar, CA: Lidar survey of the San Jose Mountains", "description": "NCALM Seed. PI: Jill Marshall, San Francisco State University. The project area covers portions of the San Jose Mountains and consists of two polygons totaling approximately 50 square kilometers. The area of interest is located 30 kilometers west of San Jose, CA and was flown on Wednesday and Thursday, December 6-7, 2006.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.26910.1", "modified": "2012-09-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-122.28,37.21,-122.14,37.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VX0DFS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Grand Junction, CO: Roan Plateau", "description": "NCALM Seed: PIs: Maureen Mason Berlin and Dylan Ward, University of Colorado, Boulder. The survey areas consist of two polygons covering portions of the Roan Plateau, Colorado. One polygon has an area of 72 square kilometers and is north of Grand Junction, CO. The other polygon is located north of Parachute, CO and has an area of 61 square kilometers.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.092012.32612.1", "modified": "2012-09-18", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-108.59,39.13,-107.99,39.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90P0WXP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Corpus Cristi, TX: Influence of Dunes & Barrier Islands on Hurricane Surge", "description": "NCALM Seed. PI: Celso Ferreira, Texas A&M University. The survey area consists of a long rectangular polygon located on the Gulf Coast 25 kilometers east of Corpus Christi, TX. Lidar data were collected to investigate the influence of dunes and barrier islands on hurricane surge in Corpus Christi, Texas.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26914.1", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-97.21,27.63,-97.11,27.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9862DC4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lincoln National Forest, NM: Floodplains in Fluvial Networks", "description": "NCALM Seed. PI: Louise J.E. Slater, University of St Andrews, Scotland, UK. The survey area consists of an irregular polygon located 90 kilometers southeast of Alamogordo, NM. Lidar data were collected to investigate the roles of floodplains in fluvial networks.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26913.2", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-105.17,32.54,-105.06,32.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CZ353J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hite, UT: Quantifying Evolution and Stability of Coarse Alluvial Channels", "description": "NCALM Seed. PI: Lindsay Olinde, University of Texas at Austin. The survey area consists of an irregular polygon located 15 km west of the small paved airstrip at Hite, Utah. Lidar data were collected to quantify the evolution and stability of coarse alluvial channels draining from the Henry Mountains.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26912.2", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-110.62,37.8,-110.49,37.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NC5Z4W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Cache NF, UT: Predicting Bonneville Cutthroat Trout Spawning Hotspots", "description": "NCALM Seed. PI: Ryan Lokteff, Utah State University. The survey area consists of an irregular polygon located 26 kilometers northeast of Logan, Utah in the Cache National Forest. Lidar data were collected to extend predictions of Bonneville Cutthroat Trout spawning hotspots. The survey occurred on August 31, 2011, covering an area of 62 square kilometers.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26912.1", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.6,41.78,-111.49,41.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HQ3WTG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Boise NF, ID: Avalanche Forecasting and Acoustic Detection", "description": "NCALM Seed. PI: Scott Havens, Boise State University. The survey area consists of a rectangular polygon located 24 kilometers west of Stanley, Idaho. The polygon is approximately 49 square kilometers and was surveyed on August 30, 2011. Data were collected to investigate the user of lidar for avalanche forecasting in the Boise National Forest, Idaho.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26911.3", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-115.29,44.17,-115.18,44.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S46PV6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bitterroot NF, ID: Transient Hillslope Response to Knickpoint Migration", "description": "NCALM Seed. PI: Ryan Wood, San Jose State University. The survey area consists of a 49 square kilometer polygon located 145 miles northeast of Boise, Idaho, spanning the border of the Payette and Bitterroot National Forests. Lidar data were collected to investigate transient hillslope response to knickpoint migration up a watershed.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26911.2", "modified": "2012-08-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-114.97,45.45,-114.87,45.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WW7FKM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Medicine Bow NF, WY: Forest Ecosystem Impacts by Mountain Pine Beetle", "description": "NCALM Seed. PI: Joel Biederman, University of Arizona. The survey area is a 35 square kilometer polygon located 54 km southwest of Laramie, Wyoming. Data were collected to investigate the application of lidar data to models for water, energy and biogeochemical cycling in mountain ecosystems impacted by the Mountain Pine Beetle.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.082012.26913.1", "modified": "2012-08-22", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.19,41.04,-106.09,41.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91N7Z2X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2010 Channel Islands Lidar Collection", "description": "Lidar dataset collected for the five islands comprising Channel Islands National Park. This includes all of the islands of San Miguel, Santa Rosa, Anacapa, Santa Barbara, and Santa Cruz. The project totals about 288 square miles (747 square kilometers). Elevation data were delivered in 2,000m x 2,000m tiles with 280 tiles produced. Deliverables include LAS 1.2 files (classified and raw), digital elevation model, digital surface model, control data, and metadata. Full waveform data were also collected over the entire project area.Data were collected using a Riegl LMS-Q560 laser scanner flown from a helicopter. Helicopters were also used to establish ground control on all five islands. Personnel from National Park Service and The Natural Conservancy (which owns most of Santa Cruz Island) accompanied the survey team to ensure minimal impact to habitat. To assist with positional accuracy, continuously operating reference stations (CORS) on each island were modified by UNAVCO from a 15 second to a one second sampling rate during the collection period. Nominal single swath point density was three points per square meter (seven points with 50% overlap).", "identifier": "OT.082012.26911.1", "modified": "2012-08-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Santa Barbara County", "Ventura County", "Santa Barbara Island", "Santa Cruz Island", "San Miguel Island", "Santa Rosa Island", "Anacapa Island", "lidar" ], "spatial": "-120.48,33.45,-119.01,34.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95D8PS7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Jemez River Basin Snow-off Lidar Survey", "description": "High-resolution Lidar survey covers the area of 722 km2 which includes the Valles Caldera (upper part of the Jemez River basin) and Frijoles Canyon, New Mexico. The data collection was jointly funded by the National Science Foundation (NSF), Valles Caldera National Preserve (VCNP), Bandelier National Monument/National Park Service (BNM/NPS) and United States Geological Survey (USGS) and performed by the National Center for Airborne Laser Mapping (NCALM) during a snow-off season (June and July 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. This dataset, together with the snow-on Lidar survey performed in March and April 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26913.1", "modified": "2012-07-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Valles Caldera National Preserve", "Jemez River Basin", "Frijoles Canyon", "New Mexico", "lidar", "NCALM" ], "spatial": "-106.68,35.73,-106.23,36.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RB72JV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2020 Waste Dump Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2020 reconnaissance of the Waste Dump landslide along State Route 167 (Trappers Loop Road) in Morgan County, Utah.", "identifier": "OTDS.112021.4326.1", "modified": "2021-11-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "Morgan County", "Utah", "landslide", "community-dataspace" ], "spatial": "-111.81,41.21,-111.81,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91R6NQC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Jemez River Basin Snow-on Lidar Survey", "description": "High-resolution Lidar survey covers an area of 280 km2 in the upper part of the Jemez River basin, New Mexico. The data collection was funded by the National Science Foundation (NSF) and performed by the National Center for Airborne Laser Mapping (NCALM) during peak snowpack 2010 (March - April 2010). The dataset contains point cloud tiles in LAS format, 1 m Digital Surface Model (DSM) derived using first-stop points, 1 m Digital Elevation Model (DEM) derived using ground-class points and 1 m hill shade dataset derived from DEM. These datasets, together with the snow-off Lidar survey performed in Jun - July 2010, are being used to estimate snowpack, vegetation biomass and distribution, and bare earth elevations to help better understand and quantify ecosystem structure, geomorphology, and landscape processes within the Critical Zone Observatory.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26913.2", "modified": "2012-07-25", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Jemez River Basin", "New Mexico", "lidar", "NCALM" ], "spatial": "-106.62,35.81,-106.38,35.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W37T86", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Swanzey, NH: Geomorphic Response to Dam Removal, Ashuelot River(2011)", "description": "NCALM Seed. PI: John Gartner, Dartmouth College. The survey area covers a 45 square kilometers along the Ashelot River, south of Keene and crossing West Swanzey, New Hampshire. Data were collected to quantify the geomorphic and sedimentological responses to dam removal.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26918.1", "modified": "2012-06-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "New Hampshire", "lidar", "NCALM" ], "spatial": "-72.38,42.82,-72.24,42.93", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90V89R5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Geomorphic Effects of Landslide Dams on the Owyhee River, Oregon", "description": "NCALM. PI: Jennifer Rose Wallick, Oregon State University. The area of interest covers 279 square kilometers along the Owyhee River in southeastern Oregon. The data were collected to study the geomorphic, hydraulic, and sediment transport effects of landslide dams and dam-breach floods on the Owyhee River. Data were collected from October 1-3, 2008.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26911.1", "modified": "2012-06-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "lidar", "NCALM" ], "spatial": "-117.75,42.94,-117.46,43.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98913SF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bald Point, FL: Hurricane Frequency and Storm Surge Archives from Sinkholes", "description": "NCALM Seed. PI: Phillip Lane, Massachusetts Institute of Technology. The survey area consists of a 44.75 square kilometer area covering a portion of Bald Point State Park, Florida. The data were collected to examine a 4,500-year record of hurricane frequency and storm surge magnitude archived in North Florida Sinkholes. Data collection occurred on September 4, 2010.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26916.1", "modified": "2012-06-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Florida", "lidar", "NCALM" ], "spatial": "-84.41,29.89,-84.32,29.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D21VHS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Apopka, FL: Using Lidar to Identify Optimal Gopher Tortoise habitat", "description": "NCALM Seed. PI: Chris Catano, University of Central Florida. The survey area covers 49 square kilometers of the Wekiwa Springs State Park near Apopka, Florida. The data were collected to identify optimal habitat for the Gopher Tortoise (Gopherus Polyphemus).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062012.26917.1", "modified": "2012-06-26", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Florida", "lidar", "NCALM" ], "spatial": "-81.51,28.7,-81.44,28.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92GW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Nantahala NF, NC: Forest Leaf Structure, Terrain and Hydrophysiology", "description": "NCALM Seed. PI: Katherine Windfeldt, University of Minnesota- Twin Cities. The survey area consists of a 64.95 square kilometer polygon, located 15 kilometers south of Franklin, NC. This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed on Aug 26, 2009 and was flown out of Macon County airport in Franklin, North Carolina. The data were collected to use lidar data to estimate forest leaf structure, terrain and hydrophysiology in a portion of the Natahala National Forest.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052012.26917.2", "modified": "2012-05-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "North Carolina", "lidar", "NCALM" ], "spatial": "-83.48,35.01,-83.39,35.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HT2M76", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point Reyes, CA: Landscape Response to Tectonics", "description": "NCALM Seed. PI: Kristin Morell, Penn State University. The survey area is 76.31 square kilometers, located 26 kilometers northwest of San Francisco, California in the Point Reyes National Seashore. This survey was flown as a part of Seed Money Survey Campaign that took place in Aug-Sept 2009. This section was surveyed over two days: Sept 8, 2009 and Sept 9, 2009. Lidar data was collected to investigate the landscape response to tectonics by studying the coupling between channels and hillslopes during transient adjustment to an increase in uplift rate.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052012.26910.1", "modified": "2012-05-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "California", "lidar", "NCALM" ], "spatial": "-122.81,37.87,-122.61,38.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NK3BZH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Stanley, ID: Linkages Between Hydrologic Complexity and Nutrient Export", "description": "NCALM Seed. PI: Timothy Covino, John Mallard, Keli Goodman, David Epstein, Montana State University. The survey area consists of a 52.7 square kilometer polygon, located 27 kilometers west of Stanley, Idaho. The lidar data were collected in the Sawtooth National Forest to study the linkages between hydrologic network complexity and nutrient export.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052012.26911.1", "modified": "2012-05-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar", "NCALM" ], "spatial": "-115.3,44.24,-115.23,44.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SB43P7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Lolo Creek and Slate Creek", "description": "Lidar instrument was flown with a Leica ALS50 Lidar system over the period of September 29 - October 3, 2006. This project is the data acquisition phase of a administrative study being done in collaboration with the Nez Perce National Forest, Grangeville, ID; Forest Service Region 1 Regional Office, Missoula, MT (Forest Inventory and Analysis and Remote Sensing/ Geospatial Team); and Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of two contiguous blocks totaling 42,889 hectares in north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components. Vegetation is variable, transitioning from low elevation shrubland and mixed conifers to upper elevation spruce-fir. Ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) are the predominant species at lower to mid elevations occupying a fairly xeric setting transitioning to grand fir (Abies grandis) and western red cedar (Thuja plicata) at mid elevations and subalpine fir (Abies lasiocarpa) at the higher elevations.", "identifier": "OT.042012.26911.3", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-116.22,45.46,-115.55,46.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92R3PMM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Merritt Island, FL: Identification of Florida Scrub-Jay Habitat", "description": "NCALM Seed. PI: James Angelo, University of Central Florida. The survey area consists of a 58.88 square kilometer polygon located 8 kilometers West of Cape Canaveral, Florida. The data were collected June 17, 2008 for the purpose of identifying optimal habitat for the Florida Scrub-Jay (Aphelocoma coerulescens).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052012.26917.1", "modified": "2012-05-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Florida", "lidar", "NCALM" ], "spatial": "-80.7,28.4,-80.62,28.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X34VDK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hawaii Kauai Survey", "description": "NCALM. PI: Taylor Perron, Massachusetts Institute of Technology (MIT). The collection area totals 200 square kilometers over portions of the Alakai Wilderness Preserve, Halelea Forest Reserve, and the Hanalei National Wildlife Refuge. The dataset covers most of the Waniha and Hanalei watersheds and the headwaters of the Olokeke watershed. The Field campaign lasted for 4 days starting on 29th June, 2009, and ending on 2nd July, 2009. Flying took place on all the four days totaling 15 hrs of flying time and 3 hours 45 minutes of laser on time.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052012.32604.1", "modified": "2012-05-11", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-159.61,22.03,-159.43,22.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91V5BWJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): St. Joe National Forest", "description": "The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, Rapid City, South Dakota. Lidar instrument was flown in a Leica ALS40 on July 23, August 11 or September 22, 2003. The data were delivered in ascii format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). This project is the data acquisition phase of an administrative study being done by Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The St. Joe National Forest area consists of one contiguous block totaling ~ 55684 hectares in north central Idaho, between Deary and Clarkia. The project area consists of moderately variable topographic configurations with diverse vegetation components.", "identifier": "OT.042012.26911.1", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "USFS Rocky Mountain Research Station", "Moscow Forestry Sciences Lab", "University of Idaho", "Idaho Lidar Consortium", "Multiscale Curvature Classification (MCC)", "lidar" ], "spatial": "-116.37,47.12,-115.98,47.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KS6PHD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Moscow Mountain", "description": "This is collection level metadata for LAS files collected by USDA - Forest Service as a part of a larger project to use Lidar for forestry application. The lidar survey was conducted by vendor Horizon's, 3600 Jet Drive, South Dakota. Lidar instrument was flown with Leica ALS40 over the period of Aug, 13-14, 2003. The data were delivered in ASCII format with information on return number, easting, northing, elevation and intensity for each return. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 32708 hectares in Moscow Mountain, Moscow, north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.", "identifier": "OT.042012.26911.2", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-117.03,46.76,-116.62,46.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G15XS0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): South Fork Salmon and Secesh Rivers", "description": "These LAS and associated files cover areas of the Payette and Boise National Forests, Idaho, and were collected for and processed by the USDA Forest Service, Moscow, ID in cooperation with Watershed Sciences Inc. of Corvallis Oregon, as a part of a project to use Lidar to study wildfire effects on forest canopy structure and hillslope erosion patterns. Data included with this set include the original .las data tiles, a shapefile delimiting the extent and placement of all of these tiles, another shapefile delimiting the total extent (boundary) of the data , and a vendor's report in PDF format detailing the data collection, processing, and error-checking steps. The data are in LAS 1.0 format with information on return number, easting, northing, elevation, scan angle, number of returns of given pulse, intensity, user data, point source ID, and GPS time.", "identifier": "OT.042012.26911.4", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-115.85,44.57,-115.66,45.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z31WJZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Emerald Creek", "description": "The lidar survey was conducted by vendor Spectrum Mapping LCC, a Lidar company. Lidar instrument Datis II sensor was flown over the period of 10 and 12 July 2004. The data were delivered in ASCII format (files separated by vegetation points and ground points) with information on X, Y, elevation, Return number, RGB and scan angle. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 13234 hectares in Emerald Creek, St. Joe National Forest, Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.", "identifier": "OT.042012.26911.5", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-116.46,46.94,-116.25,47.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TB14TM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Jack Waite Mine", "description": "The lidar survey was conducted by vendor Parametrix, a Lidar company. Lidar instrument Optech ALTM-2033 was flown with Cessna 337 over the period of 13 and 24 Oct 2007. The data were delivered in ASCII format with information on Ground Last Return, Extracted Features 1st Return, Extracted Features Last Return, All Shots 1st Return, All Shots Last Return, Model Keypoints. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 5741 hectares in Jack Waite Mine, Murray,Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components.", "identifier": "OT.042012.2243.1", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-115.94,47.63,-115.71,47.71", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PK0D39", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Clear Creek", "description": "The lidar survey was conducted by vendor Earth Eye LLC, 3680 Avalon Park Blvd. The data were delivered in LAS 1.1 format with information on return number, easting, northing, elevation, scan angle, and intensity for each return. This project is the data acquisition phase of a administrative study being done in collaboration with the Nez Perce National Forest, Grangeville, ID; Forest Service Region 1 Regional Office, Missoula, MT (Forest Inventory and Analysis and Remote Sensing/ Geospatial Team); and Rocky Mountain Research Station - Forest Sciences Lab, Moscow, ID. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of one contiguous blocks totaling 17, 325 hectares in north central Idaho. The project area consists of moderately variable topographic configurations with diverse vegetation components. Clear Creek is a tributary of the Middle Fork Clearwater River located east of Kooskia, Idaho. Vegetation is variable, transitioning from low elevation shrubland and mixed conifers to upper elevation spruce-fir. Ponderosa pine (Pinus ponderosa) and Douglas-fir (Pseudotsuga menziesii) are the predominant species at lower to mid elevations occupying a fairly xeric setting transitioning to grand fir (Abies grandis) and western red cedar (Thuja plicata) at mid elevations and subalpine fir (Abies lasiocarpa) at the higher elevations.", "identifier": "OT.042012.26911.6", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-115.85,45.93,-115.64,46.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JS9NC1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Lidar Consortium (ILC): Nez Perce Reservation", "description": "The lidar survey was conducted by vendor Spencer B. Gross, 13545 NW Science Park dr.,97229, Portland, OR. Lidar instrument Leica ALS40 was flown over the period of 13 and 26 July 2002. The primary goal of the study is to provide operational implementation of Lidar technology in support of project level planning. The proposed applications of Lidar in support of planning are: vegetation structural modeling, erosion modeling, fuels, transportation planning, timber system planning, wildlife habitat modeling, and stream quality. The Rocky Mountain Research Station will provide the development of peer-reviewed forest structural metrics and technical support in implementation of Lidar technology. The technical specifications have been defined to specifically support vegetation modeling using Lidar data. The project area consists of four blocks totaling 24, 729 hectares in Nez Perce Reservation, which is located in central Idaho and is a land of beautiful rivers and steep mountains.The data were delivered in ASCII format with information on easting, northing and elevation for each Lidar pulse. The ascii files were converted to las format and classified using the Multiscale Curvature Classification (MCC) method of Evans and Hudak (2007). Evans, J.S., and A.T. Hudak. (2007) A multiscale curvature algorithm for classifying discrete return lidar in forested environments. IEEE Transactions on Geoscience and Remote Sensing 45(4): 1029-1038.", "identifier": "OT.042012.26911.7", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "lidar" ], "spatial": "-116.84,46.14,-116.11,46.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F18WNM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Black Hills Experimental Forest, South Dakota", "description": "The surveyed area covers 28.5 square kilometers of the Black Hills Experimental Forest, South Dakota. These LAS and associated files were collected by Horizon's Inc. of Rapid City, SD and processed by the USDA Forest Service in Moscow, ID. The purpose of the data collection is to use Lidar in support of natural resource research and management applications.", "identifier": "OT.032012.26913.2", "modified": "2012-04-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "South Dakota", "USFS Rocky Mountain Research Station", "Moscow Forestry Sciences Lab", "University of Idaho", "Idaho Lidar Consortium", "Multiscale Curvature Classification (MCC)", "lidar" ], "spatial": "-103.68,44.14,-103.6,44.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C24TCD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of the Malheur National Forest, Oregon", "description": "The survey covers areas of the Malheur National Forest, Idaho, and were collected by Watershed Sciences in Corvallis, OR and processed by the USDA Forest Service in Moscow, ID. Watershed Sciences, Inc. (WS) collected Light Detection and Ranging (Lidar) data for the Damon Region of Malheur National Forest on September 15 and 16, 2007. The Area of Interest (AOI) covers 31,614 acres (north: 9,598 acres, south: 22,016 acres). The purpose of this collection is to use Lidar in support of natural resource research and management applications.", "identifier": "OT.032012.26911.3", "modified": "2012-04-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "lidar" ], "spatial": "-119.16,44.07,-118.93,44.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QJ7F74", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pellston, MI: Effects of Forest Canopy Structural Change on Carbon Uptake", "description": "NCALM Seed Project. PI: Brady Hardiman, Ohio State University. The survey area is an irregular polygon enclosing a portion of the University of Michigan Biological Station (UMBS) located at the northern tip of the Lower Peninsula of Michigan, on the southwest shore of Douglas Lake. The survey polygon is approximately 40 square kilometers in size. The polygon at its widest region in the east west direction is 8.27 km, and 6.27 km at its longest North to South direction region. The data were collected to study the effects of forest canopy structural change on carbon uptake and storage.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032012.26916.1", "modified": "2012-04-04", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-84.8,45.54,-84.67,45.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G900001C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Idaho Falls, ID: Lidar for Modeling Eolian Soil Transport", "description": "NCALM Seed Project. PI: Joel Sankey, Idaho State University. The survey area consists of a rectangular polygon located 50 km west of Idaho Falls, Idaho. The data were collected to study the function of remotely sensed data for modeling eolian soil transport.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032012.26912.1", "modified": "2012-04-04", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-112.68,43.46,-112.57,43.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KK98PR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Point Beach, Wisconsin, August 2020", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.062021.32616.2", "modified": "2021-06-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "beach", "coastal erosion", "morphological modelling", "Wisconsin", "UAV", "community-dataspace" ], "spatial": "-87.51,44.2,-87.51,44.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X63K4B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2010 Salton Sea Lidar Collection", "description": "Lidar dataset collected for the five kilometer zone around the entire shoreline of the Salton Sea. Data obtained in November 2010, at around annual lake minimum level. Target lidar point density was 5 points per square meter and targeted vertical accuracy was /- 9.25 cm. Data were delivered in 1,500 meter by 1,500 meter tiles. Deliverables included a bare earth digital elevation model with a one meter cell, raw swath LAS files, classified LAS files, metadata, and ancillary data including survey reports. All data are in the public domain.", "identifier": "OT.032012.26911.2", "modified": "2012-04-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Imperial County", "Riverside County", "lidar" ], "spatial": "-116.14,33.04,-115.52,33.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V985ZF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Boulder Creek Critical Zone Observatory August 2010 Snow-Off Lidar Survey", "description": "2010 Boulder Creek, Colorado Snow-Off LiDAR SurveysLiDAR was acquired for a 600 km2 area inside the Boulder Creek watershed during a snow-off (August, 2010) time slice, near Boulder Colorado. This data was collected in collaboration between the National Center for Airborne Laser Mapping (NCALM) project and the Boulder Creek Critical Zone Observatory (CZO), both funded by the National Science Foundation (NSF). The dataset contains 1 m Digital Surface Models (first-stop), Digital Terrain Models (bare-earth), and 10 points/m2 LAS-formated point cloud tiles. The DSMs and DTMs are available in GeoTIFF format, approx. 1-2 GB each, with associated shaded relief models, for a total of 15 GB of data. The Digital Terrain Model (DTM) is a ground-surface elevation dataset better suited for derived layers such as slope angle, aspect, and contours. Accessory layers consist of index map layers for point cloud tiles, DEM extent, and flight lines. Other LiDAR DSMs, DTMs, and point cloud data available in this series include snow-on data for 2010. Together, the LiDAR Digital Elevation Models (DEM) and point cloud data will be of interest to land managers, scientists, and others for study of topography, snow, ecosystems and environmental change. The Boulder Creek CZO will be using the LiDAR data to further their mission of focusing on how water, atmosphere, ecosystems, & soils interact and shape the Earth's surface. The \"Critical Zone\" lies between rock and sky. It is essential to life - including human food production - and helps drive Earth's carbon cycle, climate change, stream runoff, and water quality.PLEASE READ the FGDC-compliant metadata files that are available for each dataset (in .html, .txt, and .xml formats). These files provide numerous details that may be of interest. Also included are flight lines, survey reports, reference materials, and DEM extent shapefiles.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032012.26913.1", "modified": "2012-03-13", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Gordon Gulch", "Betasso Preserve", "Green Lakes", "Como Creek", "Arikaree Glacier", "Fourmile Canyon", "Fourmile Creek", "Bummers Gulch", "Long Gulch", "Emerson Gulch", "Schoolhouse Gulch", "Melvin Gulch", "Gold Run", "lidar", "NCALM" ], "spatial": "-105.71,39.91,-105.22,40.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93R0QR0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USBR Upper Columbia River Basin East", "description": "These Lidar data were collected on October 16 to November 5, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the Upper Okanogan River in Canada, the Lower Okanogan River in Washington State, and Lake Roosevelt in Washington State. The study areas total ~560 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.", "identifier": "OT.032012.26911.1", "modified": "2012-03-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Upper Okanogan River", "Lower Okanogan River", "Lake Roosevelt", "Washington", "lidar" ], "spatial": "-119.64,48.35,-117.72,49.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97H1GGQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USBR Upper Columbia River Basin West", "description": "These lidar data were collected on October 12 to November 9, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation. The survey areas cover eastern portions of the the Methow River and Wenatchee River in Washington State. The study areas total ~360 square kilometers. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.", "identifier": "OT.032012.26910.1", "modified": "2012-03-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Methow River", "Wenatchee River", "lidar" ], "spatial": "-120.96,47.46,-120.02,48.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JM27JX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hawaii Big Island Lidar Survey", "description": "This survey covers portions of Hawaii Volcano National Park, Upper Waiakea Forest Reserve, and Mauna Loa Forest Reserve on the Big Island of Hawaii. The survey area covers 299 square kilometers. These data were collected by the National Center for Airborne Laser Mapping (NCALM) on behalf of Steve Martel (University of Hawaii), Scott Rowland (University of Hawaii), Adam Soule (Woods Hole Oceanographic Institution) and Kathy Cashman (U. Oregon / Bristol U.).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032012.32605.1", "modified": "2012-03-07", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-155.61,19.23,-155.18,19.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DZ067X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northern Walker Lane, CA Airborne Lidar Dataset", "description": "The U.S. Geological Survey (USGS) Geologic Hazards Science Center (Golden, CO) coordinated the acquisition of ~198 square kilometers of airborne Light Distance and Ranging (Lidar) data and derivative bare-earth ground models to support active fault studies in the Northern Walker Lane (California-Nevada border). Faults surveyed include from west to east the Mohawk Valley, Grizzly Valley, Honey Lake, and Warm Springs Valley fault systems. Specifications for the acquisition followed recommendations made by R. Haugerud et al. in a proposed specification for lidar surveys in the Pacific Northwest ( 2008). The data were acquired by Airborne Solutions Inc. The vendor reported an average shot density of 15-17 points/m2 and the vendor delivered bare-earth and first-return digital elevation models with a cell spacing of 0.25 m2. Project PI: Ryan Gold.", "identifier": "OT.022012.26910.4", "modified": "2012-02-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Northern Walker Lane", "Neotectonics", "California", "Nevada", "Mohawk Valley fault", "Grizzly Valley fault", "Honey Lake fault", "Warm Springs Valley fault", "Sierra Valley", "Doyle", "Beckwourth", "Blairsden", "lidar" ], "spatial": "-120.69,39.62,-119.94,40.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C8276F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Piercy, CA: Response of Bedrock River to Base Level Lowering, SF Eel River", "description": "NCALM Seed Project. PI: Melissa Foster, Humboldt State University. The survey area consists of a 44 square kilometer polygon located next to Piercy, CA. The data were collected to study the response of a bedrock-controlled river and its tributaries to base level lowering. The study investigates the knickpoints and channel response of the South for Eel River.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26910.3", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-123.88,39.88,-123.75,39.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H12ZXC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Canyon Lake Gorge, TX: Mechanics of Megaflood Erosion", "description": "NCALM Seed Project. PI: Joel Scheingross, Caltech. The survey area consists of a rectangular polygon located at the Canyon Lake Gorge, Canyon Lake, TX. The area of interest totals 8 square kilometers. The data were collected to study the mechanics of megaflood erosion at Canyon Lake Gorge.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26914.1", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-98.2,29.85,-98.16,29.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MS3QNS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "White Sands National Monument, NM: Lidar Survey of Dune Fields", "description": "NCALM Seed Project. PI: Ryan Ewing, University of Texas at Austin. The survey area is a 47 square kilometer rectangular polygon of sand dunes at White Sands National Monument. The survey area is located 25 miles west of Alamogrodo, NM.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26913.1", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-106.31,32.8,-106.19,32.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97D2S2D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Surface Expression of the 1886 Charleston, South Carolina Earthquake", "description": "NCALM Seed Project. PI: Jeffery Hoeft, Georgia Institute of Technology. The Survey area consists of two irregular polygons totaling 42 square kilometers. The areas of interest are located 20 kilometers west of Charleston, South Carolina. The data were collected to search for surface expressions of the 1886 Charleston, South Carolina Earthquake.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26917.1", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-80.19,32.76,-80.11,32.95", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RF5RZS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Oroville, CA: Middle Fork of the Feather River, Sierra Nevada Foothills", "description": "NCALM. PI: Kyungsoo Yoo, University of Delaware. The survey area consists of one polygon covering 208 square kilometers and centered along the Middle Fork Feather River, Sierra Nevada Foothills, California. The area of interest is 15 kilometers northeast of Lake Oroville, California.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26910.2", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-121.38,39.57,-121.17,39.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FT8HZ1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Airborne Laser Mapping of Yosemite National Park, CA, 2007", "description": "NCALM Seed Project. PI: Greg Stock, National Park Service. The survey area consisted of four small polygons in the Yosemite National Park area. The polygons cover Moraine Dome, Conness Glacier, Lyell Glacier and Mt. Dana. The four polygons cover a survey area of 11 square kilometers.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26911.1", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.53,37.73,-119.19,37.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W66HPH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Airborne Laser Mapping of Independence Lake, CA", "description": "NCALM Seed Project. PI: James Kirchner, University of California, Berkeley. The survey area consisted of a 31 square kilometer polygon covering Lake Independence, CA, located about 50 kilometers west of Reno, NV.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.022012.26910.1", "modified": "2012-02-27", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-120.38,39.39,-120.26,39.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96D5QXM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2008 Iowa River Flood Lidar, Iowa City, and the Clear Creek Watershed", "description": "NCALM. PI: Witold Krajewski, University of Iowa. The two survey areas are both irregular polygons. The first polygon enclosed approximately 282 square kilometers and was centered on the Iowa River from the Coralville Dam just north of Iowa City, Iowa and continuing south. The second polygon enclosed 282 km square and was centered on the Clear Creek Watershed. The data were collected to survey the Iowa River Flood along the Iowa River and Clear Creek Watershed. The data collection was funded by NSF Small Grant for Exploratory Research (SGER) program.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012012.26915.1", "modified": "2012-02-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-92.02,41.2,-91.21,41.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90Z715W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Thorton, NH: Hydrologic and Topographic Controls on Organic Carbon in Soils", "description": "NCALM Seed Project PI: Adam Finkelman, Plymouth State University. The survey area is an irregular polygon approximately 42 square kilometers approximately 20 kilometers north of Plymouth, NH in the White Mountain National Forest. The data were collected to study the hydrologic and topographic controls on the distribution of organic carbon in forest soils.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012012.26919.2", "modified": "2012-02-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-71.81,43.91,-71.69,43.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MK69T4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Clearwater NF, ID: Effects of Watershed Restoration on Hillslope Stability", "description": "NCALM Seed Project PI: Rebecca Lloyd, University of Arizona. The survey area is two experimental watersheds, Shotgun Creek and Twin Creek located in the Clearwater National Forest of Northern Idaho. These areas are roughly 70 km southwest of Missoula, MT. The survey polygon for Shotgun Creek is approximately 15.8 square kilometers and for Twin Creek is 26.34 square kilometers. The data were collected to study the effects of watershed restoration on hillslope stability and ecohydrological functions.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012012.26911.1", "modified": "2012-02-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-114.97,46.47,-114.65,46.61", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H41PB3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Durham, NH: Hyporheic Zone Extent and Exchange in a Coastal Stream", "description": "NCALM Seed Project PI: Danna Truslow, University of New Hampshire. The survey area is an irregular polygon approximately 16 km West of Portsmouth, NH and enclosing 42.5 square kilometers. The data were collected to study hyporheic zone extent and exchange in a coastal New Hampshire stream using heat as a tracer.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.012012.26919.1", "modified": "2012-02-09", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-71.02,43.08,-70.91,43.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94Q7RWT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Truro and Provincetown, MA: Lidar in Salt Marsh Environments", "description": "NCALM Seed Project. PI: Jeffrey Rogers, University of New Hampshire. The area of interest is defined by two quadrilateral polygon and a swath that follows the north inner coastline of Cape Cod with a total area of 37.106 km2. The survey includes the towns of Truro and Provincetown, MA located 90 km south east of Boston, MA. The data were collected to evaluate Lidar in Salt Marsh Environments, including uncertainty determination using vertical density profiles of in-situ salt marsh vegetation and digital photography.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26919.1", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-70.25,41.87,-70.04,42.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B56GNB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tuscaloosa, AL: Seasonal Inundation Dynamics And Invertebrate Communities", "description": "NCALM Seed Project. PI: Scott Starr, University of Alabama. The area of interest is defined by a quadrilateral polygon with an area of 39.5 km2 located 20 km west of Tuscaloosa, AL. The data were collected for predicting seasonal inundation dynamics and invertebrate community structure of an unregulated southeastern river floodplain.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26916.1", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-87.84,33.16,-87.75,33.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SF2T3K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Rio Puerco River, NM: Study of overbank flood dynamics", "description": "NCALM Seed Project. PI: Mariela Perignon, University of Colorado. The areas of interest are defined by three rectangular polygons with areas of 11.336, 13.281, and 16.052 km2. The polygons follow a segment of the Rio Puerco river and are located approximately 45 km southwest of Albuquerque, NM and 25 km west of Las Lunas, NM. The data were collected to study overbank flood dynamics.Related datasets, including earlier airborne lidar, are available via the USGS at https://doi.org/10.5066/F72N50CM.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26913.2", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-107.06,34.72,-106.89,34.9", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZW1HVC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Christina River Basin Critical Zone Observatory April 2010 Lidar Survey", "description": "High-resolution Lidar data (average first-return point density of 10 points m2 and 2-4 cm vertical accuracy) were obtained by NCALM for 121 km2 of the Christina River Basin Critical Zone Observatory (CRB-CZO) during both leaf-off (April 2010) and leaf-on (July 2010; see dataset CRB-10-Jul) periods. Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the LIDAR point cloud data. The CRB-CZO is particularly interested in using this LIDAR dataset for high-resolution analyses of stream channel and floodplain geomorphology.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102011.26918.1", "modified": "2011-10-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Christina River Basin", "lidar", "NCALM" ], "spatial": "-75.87,39.79,-75.55,39.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T43R00", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Chaco Canyon, NM: Simulating Dynamic Hydrological Processes", "description": "NCALM Seed Project. PI: Wetherbee Dorshow, University of New Mexico. The area of interest is defined by an irregular polygon with an area of 39.3 km2. The polygon follows a segment of the Chaco Canyon, NM and is located approximately 160 km northwest of Albuquerque, NM and 85 km Southeast of Farmington, NM. The data were collected to simulate dynamic hydrological processes in archaeological contexts.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26913.1", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-108.02,36.0,-107.83,36.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93N21B2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Meteor Crater, AZ", "description": "NCALM Seed Project. PI: Marisa Palucis, University of California Berkeley. The survey area is a rectangular polygon, roughly 5.44 km on a side, enclosing the Barringer Meteorite Crater and its ejecta blanket. The project area is located 60 km southeast of Flagstaff, AZ and 30 km west of Winslow, Az. The polygon has a surface area of 29.7 km2; the requirement indicates two point densities one for the crater walls and rim of 8 pts/ m2, and one for the surrounding area of 4 pts/m2.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26912.3", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.05,35.0,-110.99,35.05", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V40S4C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "SW Montana: Beavers as Geomorphic Agents in Small, Rocky Mountain Streams", "description": "NCALM Seed Project. PI: Rebekah Levine, University of New Mexico. The area of interest is defined by an irregular polygon with an area of 39.9 km2 and located approximately 170 km southeast of Butte, MT, 295 km southwest of Billings, MT, and 55 km west of West Yellowstone, MT. The data were collected for a study of beavers as geomorphic agents in small, Rocky Mountain streams.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26912.2", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.84,44.58,-111.72,44.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NP22C7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Central Utah: Topographic Amplification of Earthquake Ground Motions", "description": "NCALM Seed Project. PI: Clinton M. Wood, University of Arkansas. The survey area is a square polygon with a surface area of 40.771 km2. The polygon is located approximately 95 km southeast of Provo, UT and 33 km east of Ephrain, UT. The data were collected to study the topographic amplification of earthquake ground motions.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26912.1", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-111.26,39.4,-111.17,39.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GT5K3T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bishop, CA: Morphological characteristics of the Bishop Tuff", "description": "NCALM Seed Project. PI: Patrick Whelley, University at Buffalo, SUNY. The survey area was a rectangle, 6.5km by 6km (38 km2 area), located 20km north of Bishop, in California. The data were collected as part of a project to use morphological characteristics of the Bishop Tuff to infer pyroclastic flow emplacement dynamics.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26911.3", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-118.53,37.53,-118.45,37.61", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J1012J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yosemite National Park, CA: Rockfall Studies", "description": "NCALM Seed Project. PI: Valerie Zimmer, University of California Berkeley. The area of interest is defined by a quadrilateral polygon with an area of 35.1 km2, located in the grounds of the Yosemite National Park, specifically the Half Dome and the Yosemite Valley. The polygon is located approximately 127 km east of Modesto, CA and 110 km north of Fresno, CA. The data were collected for rock fall studies in the Yosemite National Park using seismic, acoustic, and Lidar data.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26911.2", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-119.63,37.7,-119.5,37.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D798B8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "NW Nevada: Modeling of Meander Channel Evolution", "description": "NCALM Seed Project. PI: Yo Matsubara, University of Virgina, Charlottesville. The survey area is a rectangular polygon with an area of 32.664 km2 located approximately 200 km north east of Reno, NV and 85 km north west of the town of Winnemucca, NV. The data were collected for modeling of meander channel evolution in floodplain sedimentation.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112011.26911.1", "modified": "2011-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "NCALM" ], "spatial": "-118.81,41.13,-118.7,41.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98G8HMJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Christina River Basin Critical Zone Observatory July 2010 Lidar Survey", "description": "High-resolution Lidar data (average first-return point density of 10 points m2 and 2-4 cm vertical accuracy) were obtained by NCALM for 121 km2 of the Christina River Basin Critical Zone Observatory (CRB-CZO) during both leaf-off (April 2010; see dataset CRB-10-Apr) and leaf-on (July 2010) periods. Data acquisition, ground-truthing, vegetation surveys and processing were funded and coordinated by NSF Award EAR-0922307 (PI. Qinghua Guo) to collect similar data at all six CZOs for a variety of cross-site analyses, including calibration of algorithms to extract vegetation characteristics from the LIDAR point cloud data. The CRB-CZO is particularly interested in using this LIDAR dataset for high-resolution analyses of stream channel and floodplain geomorphology.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102011.26918.2", "modified": "2011-10-02", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "CZO", "Critical Zone Observatory", "Christina River Basin", "lidar", "NCALM" ], "spatial": "-75.87,39.79,-75.55,39.96", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X63JTW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2005 San Diego Urban Region Lidar", "description": "2005 Lidar coverage over cities of San Diego, Poway, and Chula Vista. These lidar data are part of a larger project that collected lidar for a number of coastal cities in San Diego County. Data from the same 2005 lidar project may be available for other cities beyond San Diego, Poway, and Chula Vista but those cities should be contacted individually. Lidar data were collected in conjunction with a three-inch resolution imagery collection for San Diego, Poway, and Chula Vista. Lidar products include LAS files and ASCII canopy data at a minimum; Poway adds two foot contours. Point spacing of LAS data is approximately one meter. Data have also been resampled to a one-ninth arc second grid (three meter spacing) and placed within the National Elevation Dataset.", "identifier": "OT.092011.2875.1", "modified": "2011-09-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Elevation", "San Diego County", "San Diego city", "Poway", "Chula Vista", "terrain", "lidar", "grids", "LAS", "digital elevation model" ], "spatial": "-117.28,32.53,-116.91,33.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XW4GQ0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Andrews Experimental Forest and Willamette National Forest Lidar (Aug 2008)", "description": "Watershed Sciences, Inc. collected Light Detection and Ranging (Lidar) data from HJ Andrews and the Willamette National Forest (NF) on August 10th and 11th 2008. Total area of the study is 17,705 acres. The total area of delivered Lidar including 100m buffer is 19,493 acres. This data set includes the base products delivered by Watershed Sciences, and derived products (hillshades, slope, aspect grids and contours).", "identifier": "OT.082011.26910.1", "modified": "2011-08-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "McKenzie", "lidar" ], "spatial": "-122.34,44.18,-122.1,44.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92N506P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "John Day Watershed 2006 - US Bureau of Reclamation", "description": "These Lidar data were collected on October 5-7, 2006 by Watershed Sciences Incorporated for the Puget Sound Lidar Consortium, with funding from the US Bureau of Reclamation and Oregon Trout in collaboration with the Malheur National Forest. The survey areas cover the floodplains of Desolation Creek from the mouth to Bruin Creek, the Middle Fork John Day River from just upstream of Big Creek to Summit Creek, and the John Day River from Prairie City to just above Dans Creek. The study areas total ~9,149 acres. These lidar were acquired for all the areas identified for the purpose of stream channel assessment and potential stream restoration design.", "identifier": "OT.072011.26911.1", "modified": "2011-07-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "Desolation Creek", "John Day River", "lidar" ], "spatial": "-118.94,44.44,-118.42,45.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99G5JRX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Teton Conservation District, Wyoming Lidar", "description": "This dataset was collected during the summer of 2008 by Sanborn on behalf of the Teton Conservation District. The project mapped 141 square miles of area within the Snake River Range and the Teton National Forest. The area covered is west of the Snake River to the Bridger-Teton National Forest boundary, and from Teton Village to Red Top Meadows. Extensive information was collected, including vegetation data for Wildland Urban Interface projects and floodplain mapping.", "identifier": "OT.062011.26912.1", "modified": "2011-06-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Jackson Hole", "Teton Pass", "Wyoming", "Wilson", "lidar" ], "spatial": "-110.97,43.3,-110.78,43.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F769GN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Granite Dells, AZ", "description": "These data were acquired by the National Center for Airborne Laser Mapping (NCALM) on behalf of David E. Haddad (Arizona State University) as part of a Seed Grant awarded to him in 2009. David's MS research project, \"Geologic and Geomorphic Characterization of Precariously Balanced Rocks\" used these data and TLS datasets to understand the geologic and geomorphic settings in which precariously balanced rocks form in low-seismicity regions. He has kindly agreed to make these data available to the research community and the public through OpenTopography.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102010.26912.1", "modified": "2010-10-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Arizona", "Prescott", "lidar", "NCALM" ], "spatial": "-112.46,34.58,-112.37,34.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92Z13FN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lemhi Watershed - US Bureau of Reclamation", "description": "These Lidar data were collected on September 24-26, 2010 by Watershed Sciences Incorporated, for Trout Unlimited and Utah State University's Ecogeomorphology and Topographic Analysis Lab. The flight was paid for by Trout Unlimited's US Bureau of Reclamation project partner. The majority of surveyed area was to support conservation and restoration efforts by Trout Unlimited and others in the Lemhi Watershed. The 2010 Lemhi River data were integrated with overlapping portions of the 2009 data (Amonson) to provide seamless models. Additionally, two mainstem areas of interest (AOI) along the Lemhi River and five additional 'satellite' AOIs were added to the acquisition by Utah State University to support a study intercomparing different topographic survey and aerial photography acquisition methods. In addition to airborne Lidar, Bangen et al. (2011) used total station, rtkGPS, ground-based Lidar, spectral-based depth correlation and single-beam SONAR to collect topography at all of these AOI's. Aerial orthophotos were collected concurrently with the Watershed Sciences survey, whereas Utah State University acquired comparable imagery by both tethered blimp and unmanned aerial vehicle (UAV) surveys. The study is part of a larger effort by Eco Logical Research, Inc. and NOAA's ISEMP (Integrated Status and Effectiveness Monitoring Program).", "identifier": "OT.032011.26912.1", "modified": "2011-03-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Idaho", "Leadore", "lidar" ], "spatial": "-113.77,44.54,-113.11,44.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JW8BSB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lake Tahoe Basin Lidar", "description": "Watershed Sciences, Inc. (WSI) collected Light Detection and Ranging (Lidar) data of land surrounding Lake Tahoe from August 11th to August 24th, 2010. The requested area of interest (AOI), excluding the actual lake, was 232,536 acres of delivered lidar data. The lidar survey used two Leica ALS50 Phase II laser systems mounted in a Cessna Caravan 208B. The Leica systems were set to acquire \u2265 83,000 - 105,900 laser pulses per second (i.e., 83 - 105.9 kHz pulse rate) and flown at 900 - 1300 meters above ground level (AGL) depending on weather and terrain, capturing a scan angle of \u00b114\u00b0 from nadir. These settings were developed to yield points with an average native pulse density of >8 pulses per square meter over terrestrial surfaces. The resulting average first-return density of delivered dataset is 11.82 points per square meter with an average ground point density of 2.26 points per square meter. The vertical accuracy was estimated at 3.5 cm RMSE. All TRPA lidar data is in the public domain.", "identifier": "OT.032011.26910.1", "modified": "2011-03-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "California", "Nevada", "Stateline", "Kings Beach", "Emerald Bay", "Meyers", "Tahoe City", "lidar", "burnpro3d" ], "spatial": "-120.26,38.7,-119.87,39.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PN93H2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Oregon Department of Geology and Mineral Industries Lidar Program Data", "description": "DOGAMI has been supervising and coordinating the collection of large swaths of high resolution, high accuracy lidar data in Oregon and adjacent states since 2006. Following a successful 2500 mi2 consortium effort in the Portland urban area, the Oregon legislature designated DOGAMI as the lead agency for lidar acquisition in Oregon. DOGAMI used a nationwide selection process that resulted in a state price agreement (OPA 8865) with Watershed Sciences Inc. of Corvallis, Oregon. The price agreement specifies data collection (8 pulse/m2, Zerror < 12cm RMSE) and product standards (LAS points, 3ft or 1m bare earth and highest hit DEMs, 1.5ft intensity images, metadata) with a pre-determined unit cost to DOGAMI based on the size of the project area. Since developing OPA 8865 in April 2008, DOGAMI has ordered 13 large lidar flights, totaling 17,500 mi2, has taken final delivery of 16,000 mi2 of data. Funding for these projects has come from consortia organized by DOGAMI that include several dozen Federal, State and local government agencies, non-profits and public utilities. The data quality for all projects that DOGAMI has completed under OPA 8865 has been consistently excellent, substantially exceeding the minimum specifications. All DOGAMI lidar data is in the public domain, please reference DOGAMI as the data source. All DOGAMI lidar program data are systematically evaluated for: Completeness and useability by loading all files; swath to swath consistency by using TerraMatch to compare elevations of millions of coincident points from adjacent swaths, all values to date < 5cm; absolute vertical accuracy by comparing delivered DEMs to an large independent set of RTK GPS control points collected by DOGAMI, all values to date < 7cm RMSE; grid artifacts by visual examination of hillshade and slopeshade images of all bare earth and highest hit DEMs.", "identifier": "OT.022011.2992.1", "modified": "2011-02-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "Portland", "South Coast", "Deschutes", "Bend", "Willamette Valley", "Eugene", "Mount Hood", "lidar" ], "spatial": "-124.57,42.0,-116.89,46.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QC01D1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan", "description": "These data cover the El Mayor-Cucapah earthquake (4 April 2010) rupture belt and nearby portions of the Laguna Salada fault, Sierras La Cucupa and El Mayor, and Colorado River Delta. They were gathered by the National Center for Airborne Laser Mapping at the request of Michael Oskin (UC Davis) and Ramon Arrowsmith (Arizona State University) in collaboration with Alejandro Hinojosa and John Fletcher of CICESE. The acquisition of these data was supported by a RAPID grant from the National Science Foundation's EarthScope Program and Office of International Science and Education, with additional support from the Southern California Earthquake Center.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122010.32611.1", "modified": "2010-12-02", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Baja", "Mexico", "earthquake", "lidar", "NCALM" ], "spatial": "-115.77,31.97,-114.93,32.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TD9V7D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "NOAA ISEMP - Watershed Sciences - Bridge Creek, Oregon Lidar Survey, 2005", "description": "These lidar data were collected on September 27, 2005, for the NOAA Fisheries Service - Northwest Fisheries Science Center as part of the ISEMP (Integrated Status and Effectives Monitoring Program) for the Columbia Basin. Data collection and processing were performed by Watershed Sciences. The flight covered 122 km2 and 26 river kilometers of Bridge Creek, a tributary to the John Day River in central Oregon. The flight was used as a baseline survey for the Bridge Creek Intensively Monitored Watershed, which is nested in the broader Status and Trend Monitoring in the John Day Pilot Basin. Channel incision within Bridge Creek IMW, OR, has degraded instream and floodplain habitat leading to a loss of spawning and rearing habitat, increased summer stream temperatures and reduced base flows impacting steelhead using this system. ISEMP is collaborating with the National Park Service, NOAA-Fisheries, and the Bureau of Land Management on a restoration project that will accelerate natural recovery rates of the processes that create and maintain steelhead habitat to substantially increase steelhead productivity within the drainage.", "identifier": "OT.102010.26910.1", "modified": "2010-10-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Oregon", "lidar" ], "spatial": "-120.33,44.54,-120.13,44.75", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PC308N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "World Bank - ImageCat Inc. - RIT Haiti Earthquake Lidar dataset", "description": "These lidar data were collected between January 21st and January 27th, 2010, in response to the January 12th magnitude 7.0 Haiti earthquake. The data collection was performed by the Center for Imaging Science at Rochester Institute of Technology (RIT) and Kucera International under sub-contract to ImageCat, Inc., and funded by the Global Facility for Disaster Recovery and Recovery (GFDRR) hosted at the World Bank. All data are available in the public domain. Update Aug 17, 2021: To view this full point cloud dataset in 3D click HERE.", "identifier": "OT.072010.32618.1", "modified": "2010-07-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Caribbean", "Hispaniola", "lidar" ], "spatial": "-72.89,18.21,-71.8,18.67", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96Q1V50", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Napa Watershed, CA", "description": "These data were acquired by the National Center for Airborne Laser Mapping (NCALM) in 2003. They have kindly agreed to make these data available to the research community through OpenTopography.Note: This is a classified last return dataset (i.e. there is not first return / canopy top data included). A bare earth model can be created from these data, but a model generated from the full point cloud produces something that approximates a low vegetation surface - not ground, but also not canopy top.UPDATE: Full unfiltered 2003 point cloud ASCII files. Bulk download of the original unfiltered ASCII files (64 GB) from the 2003 Napa Watershed collection by the National Center for Airbone Laser Mapping (NCALM). The original ASCII data has been made available in response to the August 26, 2014 Mw 6.0 South Napa Earthquake.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052010.26910.1", "modified": "2010-05-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "California", "lidar", "NCALM" ], "spatial": "-122.66,38.05,-122.18,38.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BG2KW9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "EarthScope Southern & Eastern California Lidar Project", "description": "The EarthScope Southern & Eastern California Lidar Project acquired high resolution lidar topography data along major active faults as part of the EarthScope Facility project. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (https://ncalm.cive.uh.edu/). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.122009.32611.1", "modified": "2009-12-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Owens Valley", "Tin Mountain", "Hunter Mountain", "Panamint", "Ash Hill", "Garlock", "Mud Hills", "Blackwater", "Calico", "Lenwood", "Helendale", "San Cayetano", "San Andreas", "Elsinore", "lidar", "NCALM" ], "spatial": "-119.23,32.73,-115.94,37.25", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G44N6Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "EarthScope Yakima Lidar Project", "description": "The EarthScope Yakima Lidar project acquired high resolution lidar topography data along the Yakima River in Central Washington, as part of the EarthScope Facility project funded by the National Science Foundation (NSF). EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (https://ncalm.cive.uh.edu/). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.112009.32610.1", "modified": "2009-11-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Yakima River", "Ellensburg", "Washington", "lidar", "NCALM" ], "spatial": "-120.61,46.47,-120.4,47.01", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KW5CXQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "EarthScope Alaska Denali Totschunda Lidar Project", "description": "The EarthScope Alaska Denali-Totschunda Lidar project acquired high-resolution lidar topography data along the Denali-Totschunda fault system as part of the EarthScope Facility project. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. GeoEarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (https://ncalm.cive.uh.edu/). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.102009.32607.1", "modified": "2009-10-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Earthquake", "ground rupture", "Denali", "Totschunda", "fault", "lidar", "NCALM" ], "spatial": "-144.37,62.33,-141.69,63.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QN64NF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "EarthScope Intermountain Seismic Belt Lidar Project", "description": "The EarthScope Intermountain Seismic Belt Lidar project acquired high resolution lidar topography data in tectonically active regions in Utah and Wyoming, including Yellowstone and Teton National Parks, as part of the EarthScope Facility project funded by the National Science Foundation (NSF). EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (https://ncalm.cive.uh.edu/). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052009.32612.1", "modified": "2009-05-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Yellowstone National Park", "Teton National Park", "Wasatch fault", "Wyoming", "Utah", "lidar", "NCALM" ], "spatial": "-111.85,39.72,-110.13,44.83", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VD6WCS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "EarthScope Northern California Lidar Project", "description": "The EarthScope Northern California Lidar project acquired high resolution airborne laser swath mapping imagery along major active faults as part of the EarthScope Facility project funded by the National Science Foundation (NSF). Between this project and the previously conducted B4 project, also funded by NSF, the entire San Andreas fault system has now been imaged with high resolution airborne lidar, along with many other important geologic features. EarthScope is funded by NSF and conducted in partnership with the USGS and NASA. GeoEarthScope is a component of EarthScope that includes the acquisition of aerial and satellite imagery and geochronology. EarthScope is managed at UNAVCO.Please use the following language to acknowledge EarthScope Lidar:This material is based on services provided to the Plate Boundary Observatory by NCALM (https://ncalm.cive.uh.edu/). PBO is operated by UNAVCO for EarthScope (http://www.earthscope.org) and supported by the National Science Foundation (No. EAR-0350028 and EAR-0732947).Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.052008.32610.1", "modified": "2008-05-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Andreas Fault", "Hayward", "Calaveras", "San Gregorio", "Rodgers Creek", "Maacama", "Green Valley", "lidar", "NCALM" ], "spatial": "-124.23,36.02,-120.59,40.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9057CV2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Fault systems in the Eastern California Shear Zone, CA", "description": "These data were acquired by the National Center for Airborne Laser Mapping on behalf of Dr. Mike Oskin (UC Davis) and Dr. Lesley Perg (University of Minnesota) as part of their National Science Foundation funded-project (No. EAR-0337263): Testing tectonic geodesy from fault slip rates across the eastern California shear zone. They have kindly agreed to make these data available to the research community through OpenTopography.Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.062006.32611.1", "modified": "2006-06-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ludlow", "Calico", "Camp Rock", "Lenwood", "Helendale fault", "California", "lidar", "NCALM" ], "spatial": "-117.23,34.6,-116.16,34.83", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93X84KG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "B4 Project - Southern San Andreas and San Jacinto Faults", "description": "The B4 Lidar Project collected lidar point cloud data of the southern San Andreas and San Jacinto Faults in southern California. Data acquisition and processing were performed by the National Center for Airborne Laser Mapping (NCALM) in partnership with the USGS and Ohio State University through funding from the EAR Geophysics program at the National Science Foundation (NSF). Optech International contributed the ALTM3100 laser scanner system. UNAVCO and SCIGN assisted in GPS ground control and continuous high rate GPS data acquisition. A group of volunteers from USGS, UCSD, UCLA, Caltech and private industry, as well as gracious landowners along the fault zones, also made the project possible. If you utilize the B4 data for talks, posters or publications, we ask that you acknowledge the B4 project. The B4 logo can be downloaded here. A new reprocessed (classified) version of this dataset is here: B4 Project - Southern San Andreas and San Jacinto Faults - Classified Lidar Publications associated with this dataset can be found at NCALM's Data Tracking Center", "identifier": "OT.032006.32611.1", "modified": "2006-03-01", "bureauCode": [ "422:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "B4 project", "San Andreas fault", "San Jacinto fault", "California", "lidar", "NCALM" ], "spatial": "-120.64,32.86,-115.61,36.07", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97P8W9T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Norway 1 Meter Digital Elevation Models", "description": "The Norway 1 meter Digital Elevation Model is a high-resolution national elevation dataset produced by Kartverket (the Norwegian Mapping Authority) as part of Norway's Nasjonal detaljert H\u00f8ydemodell (National Detailed Elevation Model) program. The dataset is derived from airborne lidar surveys and is available as both a Digital Terrain Model (DTM) and a Digital Surface Model (DSM) covering mainland Norway. It is a national mosaic compiled from surveys conducted between 2009 and present. The majority of coverage was acquired between 2014 and 2019 as part of the Nasjonal detaljert h\u00f8ydemodell (NDH) program, which completed full national coverage in 2022. New surveys continue to be added as Kartverket conducts ongoing acquisitions.For more information about this dataset: The Norway National Elevation Model The Norway DSM product The DTM ATOM Service", "identifier": "OT.052026.25833.1", "modified": "2026-07-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "lidar", "topography", "norway", "bare earth", "first return", "DTM", "DSM" ], "spatial": "4.28,57.85,31.35,71.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DF6PFH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "West Rainier Seismic Zone, WA", "description": "This page offers access to lidar data of the western Rainier seismic zone, adjacent to Mt. Rainier, in Pierce County, WA. This dataset covers approximately 325 square kilometers and includes approximately a billion data points. Point density is approximately 2 points per square meter. For more information on these data please see this abstract. These data were acquired by NASA, in collaboration with the United States Geologic Survey and the Puget Sound Lidar Consortium, with funding provided by NASA's Earth Surface and Interior Focus Area. The data was collected and processed by Terrapoint. The data are in the public domain with no restrictions on their use.", "identifier": "OT.062005.2926.1", "modified": "2005-06-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mt Rainier", "Pierce", "Puget Sounds Lidar Consortium", "Washington", "lidar" ], "spatial": "-122.07,46.74,-121.87,47.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CC0XMC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Northern San Andreas Fault, CA", "description": "This page offers access to lidar data acquired along the Northern San Andreas fault and associated marine terraces in coastal Sonoma and Mendocino counties, California. This dataset covers approximately 418 square kilometers and includes approximately 1.2 billion data points. Point density is 1.2 points per square meter. These data were acquired by NASA, in collaboration with the United States Geologic Survey and the Puget Sound Lidar Consortium, with funding provided by NASA's Earth Surface and Interior Focus Area. The data was collected and processed by Terrapoint. The data are in the public domain with no restrictions on their use.", "identifier": "OT.062005.2871.1", "modified": "2005-06-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Andreas Fault", "Sonoma", "Mendocino", "California", "lidar" ], "spatial": "-123.81,38.49,-123.2,39.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MW2F2H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USGS 1 meter Digital Elevation Model", "description": "The 3D Elevation Program (3DEP) data serve as the elevation layer of The National Map, and provide basic elevation information for Earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for global change research, hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. This dataset is a 1 meter resolution, tiled collection of 3DEP project-based data. This dataset was introduced in 2015 with limited coverage of the U.S., but will be expanding as new DEMs from 3DEP quality level 2 or better lidar data are acquired. USGS standard one-meter DEMs are produced exclusively from high resolution lidar source data of one-meter or higher resolution. One-meter DEM surfaces are seamless within collection projects, but, not necessarily seamless across projects. The spatial reference used for tiles of the one-meter DEM within the conterminous United States (CONUS) is Universal Transverse Mercator (UTM) in units of meters, and in conformance with the North American Datum of 1983 (NAD83). All bare earth elevation values are in meters and are referenced to the North American Vertical Datum of 1988 (NAVD88). Data is distributed in the UTM Zone in which it lies. All 3DEP products are public domain. Click here for a broad overview of this dataset", "identifier": "OT.012021.4269.3", "modified": "2021-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "USGS", "NED", "3DEP", "lidar", "DEM", "bare-earth", "topography", "elevation" ], "spatial": "-159.79,17.67,-64.56,49.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NP22NT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Digital Elevation Model Mosaic of Canada", "description": "The High Resolution Digital Elevation Model (HRDEM), is part of the CanElevation Series created in support of the National Elevation Data Strategy implemented by Natural Resources Canada. In the southern part of the country (south of the productive forest line), more accurate elevation is needed for forest inventory, coastal monitoring, flood plain mapping, precision agriculture, infrastructure, etc. This 1 meter mosaic represents the current and continuous coverage of high-resolution elevation data available in Canada and is available as Digital Surface Model (DSM) and Digital Terrain Model (DTM) datasets. Source data for HRDEM mosaics is acquired through multiple projects with different partners. Since data is being acquired by project, there is no integration or edgematching done between projects. The tiles are aligned within each project. OpenTopography provides access to the one meter mosaic portion of the HRDEM collection covering much of southern Canada. We do not provide access to the 2-meter portion of HRDEM because it is primarily based on ArcticDEM, which is already available as a separate dataset in OpenTopography. Therefore, users seeking elevation data for northern Canada are encouraged to use the ArcticDEM collection or download the data directly from NRCAN.", "identifier": "OT.062025.3979.1", "modified": "2025-07-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "Canada", "lidar", "DEM", "mosaic", "forestry", "hydrology", "agriculture" ], "spatial": "-140.96,41.68,-52.61,74.73", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R20ZKN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "The Netherlands Digital Elevation Model (AHN4)", "description": "Actueel Hoogtebestand Nederland (AHN) is a multi-year program and a collaboration between the water boards, provinces, and Rijkswaterstaat, with the aim of producing a digital elevation model of the Netherlands. This digital elevation model of the Netherlands contains detailed and precise elevation data with at least 10 lidar-derived elevation measurements per square meter. OpenTopography is providing access to version 4 of the AHN DEM which was created from data collected in 2020, 2021, and 2022. For more information about AHN and its data products see https://www.ahn.nl", "identifier": "OT.012026.28992.1", "modified": "2026-01-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "lidar", "DTM", "DSM", "topography", "elevation" ], "spatial": "3.36,50.75,7.23,53.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CN725M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Finland 2 Meter Digital Elevation Model", "description": "The Finland 2m Digital Elevation Model (Korkeusmalli 2m) is a national high-resolution elevation dataset produced by the National Land Survey of Finland (Maanmittauslaitos). The dataset is derived from airborne lidar surveys and is available as a Digital Terrain Model (DTM) providing bare-earth surface representation at 2-meter resolution across the entirety of Finland. Lidar collection began in 2008 and is ongoing, with approximately 40,000 km2 added into the model annually. For more information about this dataset: Finland 2m Elevation Model - Maanmittauslaitos", "identifier": "OT.052026.3067.1", "modified": "2026-07-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "lidar", "topography", "Finland", "bare-earth", "DTM" ], "spatial": "19.06,59.61,31.63,70.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98P5XR7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sao Paulo, Brazil Lidar Survey 2017", "description": "The Municipality of S\u00e3o Paulo, through the Municipal Secretariat for Urban Development (SMDU), is one of the first cities in South America to make its lidar data freely available. The Mapa 3D Digital da Cidade (M3DC), of the S\u00e3o Paulo City Hall, has an objective to publish LiDAR point cloud data. The organization has made its lidar collection over Sao Paulo freely available through its Geosampa Portal as well as through the Amazon Web Service Open Data program. The initial dataset was acquired in 2017 by aerial surveying.", "identifier": "OT.062020.31983.1", "modified": "2024-11-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "Sao Paulo", "lidar", "3D", "digital mapping", "topography", "Mapa 3D Digital da Cidade", "GeoSampa" ], "spatial": "-46.83,-24.01,-46.36,-23.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NV9GD1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lidar Survey of Montreal, Quebec, Canada 2015", "description": "Lidar survey of Montreal, Quebec, Canada in the Fall of 2015. This dataset was used to aid in the creation of digital terrain models (DTM), contour lines, volume calculations, urban planning, tree height calculation, mapping of building roofs, and 3D modeling for the City of Montreal. For more details on this dataset click here.", "identifier": "OT.082023.2950.1", "modified": "2024-11-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "Canada", "Montreal", "topography", "lidar" ], "spatial": "-73.99,45.39,-73.46,45.71", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90Z71HC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2016 Solana Beach, CA Bluff Characterization Survey", "description": "The bluff along the City of Solana Beach's (California) shore was scanned using ground-based static lidar technology between August and September of 2016. The primary objective of the Solana Beach Bluff Characterization Survey is to develop a baseline condition that can be compared to future surveys, allowing the City to monitor the bluff condition and to quantify coastal erosion. The information can also support coastal planning and engineering studies. The project consisted of 63 scans, all independently registered to surveyed control points. The parameters of the scans were set so the density of the scan point clouds was no more than 3\" minimum spacing on the bluff with a positional certainty of better than 3\". The polygon encloses an area of approximately 0.01 km2.", "identifier": "OT.042018.3500.1", "modified": "2018-05-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Solana Beach", "California", "lidar", "terrestrial lidar", "tls", "coastal bluff", "coastal erosion" ], "spatial": "-117.28,32.98,-117.27,33.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HM56JB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 2", "description": "This dataset captures primary rupture features along a ~200m long stretch of the 4 April 2010 M 7.2 El Mayor-Cucapah earthquake rupture in northern Baja California, Mexico. This dataset covers in higher resolution sections of the rupture captured by the El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan. The scans were collected along the northern Borrego fault in a single day (20 April 2010) 16 days following the earthquake. This particular dataset covers a section of the rupture along a bedrock rangefront where displacements are highly concentrated along a single fault, with some localized antithetic normal slip. Depending on how the data is processed and visualized, cm- to m-scale fault scarps, fault free-face striations, displacements defined by offset geomorphic features and cm-scale alluvial fan textures, and a paleo-fault scarp are all visible. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyors: Peter Gold and Austin Elliott, UC Davis", "identifier": "OT.042012.32611.2", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mexico", "TLS", "terrestrial laser scanning", "lidar", "El Mayor-Cucapah", "earthquake rupture", "fault" ], "spatial": "-115.63,32.49,-115.63,32.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96H4FBB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "El Mayor-Cucapah Earthquake Rupture Terrestrial Laser Scan-Site 1", "description": "This dataset captures primary rupture features along a ~200m long stretch of the 4 April 2010 M 7.2 El Mayor-Cucapah earthquake rupture in northern Baja California, Mexico. This dataset covers in higher resolution sections of the rupture captured by the El Mayor-Cucapah Earthquake (4 April 2010) Rupture Lidar Scan. The scans were collected along the northern Borrego fault over a period of 4 days beginning 16 April 2010, 12 days following the earthquake. This particular dataset covers a section of the rupture across a raised alluvial fan surface where displacements are relatively concentrated along a single fault, with some localized antithetic normal and reverse slip. Depending on how the data is processed and visualized, cm- to m-scale fault scarps, fault free-face striations, displacements defined by offset geomorphic features and cm-scale alluvial fan textures are all visible. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyors: Peter Gold and Austin Elliott, UC Davis", "identifier": "OT.042012.32611.1", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mexico", "TLS", "terrestrial laser scanning", "lidar", "El Mayor-Cucapah", "earthquake rupture", "fault" ], "spatial": "-115.63,32.49,-115.63,32.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B85622", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 1", "description": "This dataset covers a site near the center of the 16 December 1954 M 6.8 Dixie Valley earthquake rupture in central Nevada, United States. At this site, a linear debris flow chute draining the Stillwater Range front on to a shallowly sloping alluvial fan is offset by both synthetic and antithetic fault scarps that together form an intervening graben. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyor: Peter Gold", "identifier": "OT.052012.32611.1", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nevada", "Dixie Valley fault", "TLS", "terrestrial laser scanninglidar", "slip vector", "low angle normal fault" ], "spatial": "-118.18,39.63,-118.18,39.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99884X8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dixie Valley Fault Rupture Terrestrial Laser Scanning Dataset-Site 2", "description": "This dataset covers a site near the southern extent of the 16 December 1954 M 6.8 Dixie Valley earthquake rupture in central Nevada, United States. At this site, a nearly linear debris flow chute that drains the Stillwater Range front on to a shallowly sloping alluvial fan is offset by both synthetic and antithetic fault scarps that together form an intervening graben. Vegetation classification was performed manually in an immersive 3D virtual reality CAVE. This dataset includes intensity-scaled point-coloring. Surveyor: Peter Gold", "identifier": "OT.052012.32611.2", "modified": "2012-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nevada", "Dixie Valley fault", "TLS", "terrestrial laser scanning", "lidar", "slip vector", "low angle normal fault" ], "spatial": "-118.21,39.55,-118.2,39.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95H7D6Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Landers Surface Rupture Terrestrial Laser Scanning Dataset", "description": "Tectonic geomorphic markers such as fault scarps of recent and historic earthquakes form the basis for paleoseismic studies that aim to understand the spatiotemporal distribution of earthquakes, their magnitudes, and recurrences. This terrestrial laser scanning dataset was acquired to survey a section of the 1992 Landers earthquake fault scarp. For more details, visit: http://lidar.asu.edu/KnowledgeBase/Landers_TLS/Landers_TLS_analysis.html", "identifier": "OT.072011.32611.2", "modified": "2011-07-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Landers earthquake", "fault scarp", "Emerson fault", "California", "TLS", "lidar" ], "spatial": "-116.55,34.54,-116.55,34.54", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91Z4298", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Carrizo Plain Terrestrial Laser Scanning Dataset", "description": "Tectonic geomorphic markers such as deflected and offset stream channels form the basis for paleoseismic studies that aim to understand the spatiotemporal distribution of earthquakes, their magnitudes, and recurrences. This terrestrial laser scanning dataset includes a scanned stream channel that was deflected by the San Andreas Fault in the Carrizo Plain, California.", "identifier": "OT.072011.32611.1", "modified": "2011-07-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Andreas Fault", "Bidart", "California", "paleoseismic", "TLS", "lidar" ], "spatial": "-119.79,35.23,-119.79,35.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95Q4T1M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Granite Dells Terrestrial Laser Scanning Dataset", "description": "Precariously balanced rocks (PBRs) are pedestal rocks that are used as negative indicators for earthquake-generated strong ground motions to physically validate seismic hazard analyses. To help understand the geologic and geomorphic settings in which PBRs form, terrestrial laser scanning was used to scan a small population of PBRs that are preserved on hillslopes adjacent to a small stream channel.", "identifier": "OT.122010.26912.1", "modified": "2010-12-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "TLS", "Arizona", "Prescott", "lidar" ], "spatial": "-112.42,34.6,-112.42,34.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z60KZ8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Copernicus GLO-30 Digital Elevation Model", "description": "The Copernicus DEM is a Digital Surface Model (DSM) which represents the surface of the Earth including buildings, infrastructure and vegetation. This DSM is derived from an edited DSM named WorldDEM, where flattening of water bodies and consistent flow of rivers has been included. In addition, editing of shore- and coastlines, special features such as airports, and implausible terrain structures has also been applied. The WorldDEM product is based on the radar satellite data acquired during the TanDEM-X Mission, which is funded by a Public Private Partnership between the German State, represented by the German Aerospace Centre (DLR) and Airbus Defence and Space. OpenTopography is providing access to the global GLO-30 Defence Gridded Elevation Data (DGED) 2023_1 version of the data hosted by ESA via the PRISM service. Details on the Copernicus DSM can be found on this ESA site. Important Notes: Previous to July 23rd 2024, OpenTopography was providing access to the Copernicus data through the public AWS S3 bucket established by Sinergise. As of July 23rd 2024, Opentopography is providing the DGED 2023_1 version of GLO-30 as downloaded directly from ESA . The original gridded data from ESA is in geographic coordinates where the longitudinal cell spacing increases as a function of latitude for regions north of 50N and south of 50S. For more details see the Grid Spacing section of the Copernicus DEM handbook. In order to keep the pixel dimensions uniform, OpenTopography resamples data north of 50 degrees latitude and south of -50 degrees latitude in order to output a consistent 1 Arc-second product for data accessed through the web-interface or API. Users who need data north of 50N or south of 50S, and prefer to use the original, longitude-varying grid spacing can download cloud optimized geotiff (COG) versions of the tiles from our bulk download interface, or download the original data directly from ESA. The GLO-30 dataset is available on a free basis for the general public under the terms and conditions of the Copernicus license found here.", "identifier": "OT.032021.4326.1", "modified": "2021-04-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Copernicus", "ESA", "DSM", "TanDEM-X", "DLR", "SAR", "Airbus", "lidar" ], "spatial": "-180.0,-85.0,180.0,84.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9028PQB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "ALOS World 3D - 30m", "description": "The ALOS Global Digital Surface Model (AW3D30) is a global dataset generated from images collected using the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) aboard the Advanced Land Observing Satellite (ALOS) from 2006 to 2011. As described by the Japan Aerospace Exploration Agency: The Japan Aerospace Exploration Agency (JAXA) releases the global digital surface model (DSM) dataset with a horizontal resolution of approx. 30-meter mesh (1 arcsec) free of charge. The dataset has been compiled with images acquired by the Advanced Land Observing Satellite \"DAICHI\" (ALOS). The dataset is published based on the DSM dataset (5-meter mesh version) of the \"World 3D Topographic Data\", which is the most precise global-scale elevation data at this time, and its elevation precision is also at a world-leading level as a 30-meter mesh version. This dataset is expected to be useful for scientific research, education, as well as the private service sector that uses geospatial information. Version: As of May 24th 2021 OpenTopography is supplying V3.2 (Jan 2021) from: ftp://ftp.eorc.jaxa.jp//pub/ALOS/ext1/AW3D30/release_v2012_single_format/ Data downloaded prior to May 24th 2021 was in format: May 2016: Global terrestrial region (within approx. 82 deg. of N/S latitudes) of Version 1 released (approx. 22,100 tiles) Note: JAXA provides two versions of AW3D30 created from the original 5-meter mesh using different downsampling methods: average (provided here) and median (not available from OpenTopography).", "identifier": "OT.112016.4326.2", "modified": "2016-12-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "global", "dsm", "lidar" ], "spatial": "-180.0,-84.0,180.0,84.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92HB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Shuttle Radar Topography Mission (SRTM GL3) Global 90m", "description": "The Shuttle Radar Topography Mission (SRTM) obtained elevation data on a near-global scale to generate the most complete high-resolution digital topographic database of Earth. SRTM consisted of a specially modified radar system that flew onboard the Space Shuttle Endeavour during an 11-day mission in February of 2000. SRTM is an international project spearheaded by the National Geospatial-Intelligence Agency (NGA) and the National Aeronautics and Space Administration (NASA). Version 3: Elimination of the voids in the NASA SRTM DEM was the primary goal of a project under the NASA MEaSUREs (Making Earth System Data Records for Use in Research Environments) Program. Ultimately this was achieved by filling the voids with elevation data primarily from the ASTER GDEM2 (Global Digital Elevation Model Version 2) and secondarily from the USGS GMTED2010 elevation model or the USGS National Elevation Dataset (NED). For more information on this dataset visit the LP DAAC NASA Shuttle Radar Topography Mission Global 3 arc second page.", "identifier": "OT.042013.4326.1", "modified": "2013-04-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "The Shuttle Radar Topography Mission", "SRTM", "global", "lidar" ], "spatial": "-180.0,-56.0,180.0,60.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9445JDF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Global Ensemble Digital Terrain Model", "description": "The Global Ensemble Digital Terrain Model (GEDTM30) is a globally consistent, 30m resolution DTM created using a machine learning-based data fusion approach. It combines multiple global elevation datasets including Copernicus DEM, ALOS World 3D, and object height models, and refines them using nearly 30 billion high-quality ground elevation points from ICESat-2 and GEDI. A two-stage random forest model ensures both global coherence and local accuracy, producing a bare-earth terrain model that minimizes the effects of vegetation, buildings, and DEM artifacts. For more details on this project see the following resources: GEDTM30 Zenodo Repository GEDTM30 Codeberg Repository GEDTM30 Publication Disclaimer: This data product was generated using machine learning methods. Users are advised to exercise caution and independently verify results before using this product for critical applications, engineering design, or decision-making purposes.", "identifier": "OT.082025.4326.1", "modified": "2025-08-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Satellite", "DSM", "DTM", "lidar", "Copernicus", "ALOS", "machine learning", "ICESat-2", "GEDI" ], "spatial": "-180.0,-62.01,180.0,83.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BV7DT1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Global Ecosystem Dynamics Investigation (GEDI) L3 Gridded Land Surface Metrics", "description": "The Global Ecosystem Dynamics Investigation (GEDI) produces high resolution laser ranging observations of the 3D structure of the Earth. GEDI's precise measurements of forest canopy height, canopy vertical structure, and surface elevation greatly advance the ability to characterize important carbon and water cycling processes, biodiversity, and habitat. GEDI was funded as a NASA Earth Ventures Instrument (EVI) mission. It was launched to the International Space Station in December 2018 and completed initial orbit checkout in April 2019.This dataset provides Global Ecosystem Dynamics Investigation (GEDI) Level 3 (L3) gridded mean ground elevation, and mean canopy height per 1 km x 1 km grid cells globally within -52 and 52 degrees latitude. These L3 gridded products were derived from Level 2 (L2) geolocated laser footprint return profile metrics from the GEDI instrument onboard the International Space Station (ISS). Ground elevation is provided as the mean elevation (in meters) of the center of the lowest waveform mode relative to the WGS84 reference ellipsoid. Canopy height is provided as the mean height (in meters) above the ground of the received waveform signal that was the first reflection off the top of the canopy (RH100). L3 gridded products can be used to characterize important carbon and water cycling processes, biodiversity, habitat and can also be of immense value for climate modeling, forest management, snow and glacier monitoring, and the generation of digital elevation models. This dataset version uses Version 2 of the input L2 data, which includes improved geolocation of the footprints as well as a modified method to predict an optimum algorithm setting group. Note: The version of the GEDI data hosted on OpenTopography has been reprojected into the World Geodetic System 1984 (EPSG:4326) For more details on the GEDI project go to the GEDI homepage For more details on the GEDI L3 Gridded Products, go to the NASA ORNL DAAC", "identifier": "OT.032022.4326.1", "modified": "2023-02-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "ecosystem", "ISS", "canopy", "waveform", "RH100", "biodiversity", "carbon" ], "spatial": "-180.0,-52.69,180.0,52.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V12301", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Reference Elevation Model of Antarctica (REMA) 32m", "description": "The Reference Elevation Model of Antarctica (REMA) is part of a NGA-NSF public-private initiative to automatically produce high-resolution, high quality, digital surface models (DSMs) of the polar regions using optical stereo imagery, high-performance computing, and open source photogrammetry software. OpenTopography is distributing the REMA mosaics (version 2, released in October 2022) that are that are assembled from multiple REMA strips with the intention of providing a more consistent and comprehensive product over large areas. REMA data is constructed from in-track and cross-track high-resolution (~0.5 meter) imagery acquired by the Maxar constellation of optical imaging satellites. To learn more about the REMA, please visit the Polar Geospatial Center's REMA page and DEM Product Guide.", "identifier": "OT.082023.3031.1", "modified": "2023-08-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "antarctic", "imagery", "glaciology", "DEM", "DSM", "stereo", "PGC" ], "spatial": "-180.0,-89.08,180.0,-53.54", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X63K5S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Continental Europe Digital Terrain Model", "description": "This Digital Terrain Model (DTM) for Continental Europe was derived using Ensemble Machine Learning (EML) with publicly available Digital Surface Models. EML was trained using GEDI level 2B points (Level 2A; \"elev_lowestmode\") and ICESat-2 (ATL08; \"h_te_mean\"). About 9 million points were overlaid vs MERITDEM, AW3D30, GLO-30, EU DEM, GLAD canopy height, tree cover and surface water cover maps. An ensemble prediction model (mlr package in R) was fitted using random forest, Cubist and GLM, and used to predict the most probable terrain height (bare earth). The predicted elevations are based on the GEDI data hence the reference water surface (WGS84 ellipsoid) is about 43 m higher than the sea water surface for a specific EU country. Before modeling, reference elevations were corrected to the Earth Gravitational Model 2008 (EGM2008) by using the 5-arcdegree resolution correction surface (Pavlis et al, 2012). Details on the work to create this dataset can be found here: Hengl, Tomislav, Leal Parente, Leandro, Krizan, Josip, and Bonannella, Carmelo. 2020. \"Continental Europe Digital Terrain Model at 30 M Resolution Based on GEDI, Icesat-2, AW3D, GLO-30, EUDEM, MERIT DEM and Background Layers.\" Zenodo. https://doi.org/10.5281/zenodo.4724549. European Digital Terrain Models (EU DTM) NOTE:This dataset has been converted from its original units of decimeters to meters to aid comparisons with other datasets in the OpenTopography catalog.Disclaimer: This data product was generated using machine learning methods. Users are advised to exercise caution and independently verify results before using this product for critical applications, engineering design, or decision-making purposes.", "identifier": "OT.092022.3035.1", "modified": "2022-09-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Europe", "MERIT", "ALOS", "GEDI", "ICESat-2", "machine learning", "DTM" ], "spatial": "-31.84,27.38,34.77,71.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99021ZF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "ANADEM: A Digital Terrain Model for South America", "description": "Ag\u00eancia Nacional de \u00c1guas DEM (ANADEM), is a Digital Terrain Model (DTM) for South America which removes the influence of vegetation on elevation values from the Copernicus GLO-30 DEM (COPDEM) by integrating remote sensing data, cloud computation, and machine learning techniques. ANADEM uses a vegetation bias removal algorithm that was specifically calibrated for South America, incorporating spectral indices from Landsat-8 and Sentinel-2 (EVI, NDMI, MSAVI) combined with Global Ecosystem Dynamics Investigation (GEDI) lidar data to improve vegetation bias removal in tropical and subtropical environments. The algorithm uses a TreeBoost machine learning model implemented in Google Earth Engine, trained with 50,000 samples per 5\u00b0\u00d75\u00b0 tile (with overlap) and 250 decision trees, allowing a fine-scale adjustment of vegetation bias corrections. ANADEM was validated against ICESat-2 altimetry data. For more details on this dataset, see its associated publication: ANADEM: A Digital Terrain Model for South America Disclaimer: Localized striping or tiling artifacts may occur in limited areas of the ANADEM, particularly in regions with dense vegetation or complex terrain. These artifacts are spatially restricted and are not expected to compromise the overall quality, consistency, or suitability of ANADEM-derived products. In some cases, they may become more visible in visualization products such as hillshade or in highly sensitive terrain derivatives, but they do not affect the general reliability of ANADEM for regional terrain analysis, hydrological applications, or derived products. Users interested in comparing global DEMs with ANADEM should be aware that differences in pixel size, grid alignment, and projection between datasets can introduce apparent artifacts when performing raster subtraction. To ensure accurate comparisons, we recommend reprojecting and resampling datasets to a common grid prior to differencing. This data product was generated using machine learning methods. Users are advised to exercise caution and independently verify results before using this product for critical applications, engineering design, or decision-making purposes.", "identifier": "OT.082025.4674.1", "modified": "2025-08-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Satellite", "DSM", "DTM", "lidar", "Copernicus", "Landsat", "Sentinel", "machine learning", "ICESat-2", "GEDI", "South America" ], "spatial": "-82.52,-56.52,-34.73,14.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9736P4G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "ArcticDEM 32m", "description": "ArcticDEM is an NGA-NSF initiative to automatically produce a high-resolution, high-quality digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open-source photogrammetry software. OpenTopography is distributing the ArcticDEM mosaics (version 4, released July 2023) assembled from all ArcticDEM strips to provide a consistent and comprehensive product over large areas. ArcticDEM data is constructed from in-track and cross-track high-resolution (~0.4 meter) imagery acquired by the Maxar constellation of optical imaging satellites. To learn more about the ArcticDEM, please visit the Polar Geospatial Center's ArcticDEM page and DEM Product Guide.", "identifier": "OT.112018.3413.1", "modified": "2023-07-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "arctic", "imagery", "glaciology", "DEM", "DSM", "stereo", "PGC" ], "spatial": "-180.0,50.59,179.92,83.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96Q1VFK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Global Multi-Resolution Topography (GMRT) Data Synthesis", "description": "The Global Multi-Resolution Topography (GMRT) synthesis is a multi-resolutional compilation of edited multibeam sonar data collected by scientists and institutions worldwide, that is reviewed, processed and gridded by the MGDS Team and merged into a single continuously updated compilation of global elevation data. The synthesis began in 1992 as the Ridge Multibeam Synthesis (RMBS), was expanded to include multibeam bathymetry data from the Southern Ocean, and now includes bathymetry from throughout the global and coastal oceans. GMRT is included in the ocean basemap in Google Earth (since June 2011) and the GEBCO 2014 compilation. Data is accessed through the GMRT GridServer Web Service. OpenTopography provides a user interface for using the web service and enables users to utilize OpenTopography processing tools, such as visualization and advanced hydrologic terrain analysis (TauDEM).", "identifier": "OT.112016.4326.1", "modified": "2016-12-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "GMRT", "sonar", "bathymetry", "ocean", "global", "lidar" ], "spatial": "-180.0,-89.0,180.0,89.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BG2M6R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "GEBCO Global Bathymetry and Topography Including Basal Ice Surface", "description": "The Nippon Foundation-GEBCO Seabed 2030 project has produced a global terrain model for ocean and land. The GEBCO_2023 grid was published in April 2023 and is the fifth GEBCO grid developed through The Nippon Foundation-GEBCO Seabed 2030 Project. This is a collaborative project between the Nippon Foundation of Japan and GEBCO. The Seabed 2030 Project aims to bring together all available bathymetric data to produce the definitive map of the world ocean floor and make it available to all. The GEBCO_2023 Grid is a continuous, global terrain model for ocean and land with a spatial resolution of 15 arc seconds. Between latitudes of 50\u00b0 South and 60\u00b0 North it uses version 2.5.5 of the SRTM15+ dataset as a \"base\". This data set is a fusion of land topography with measured and estimated seafloor topography. This version of SRTM15+ is similar to version 2.1 [Tozer et al., 2019] but includes additional data sets. It uses predicted depths based on the V32 gravity model [Sandwell et al., 2019]. The SRTM15+ base grid has been augmented with the gridded bathymetric data sets developed by the four Seabed 2030 Regional Centers to produce the GEBCO_2023 Grid. Note: SRTM15+ V2.5.5 is also available through OpenTopography here. The information for ice-surface elevation and under-ice topography/bathymetry is taken from IceBridge BedMachine Greenland, Version 4.6 (Morlighem, M. et al. 2017) and data based on MEaSUREs BedMachine Antarctica, Version 2 (Morlighem, M. et al 2020). NOTE: This dataset includes under-ice sheet topography. For a version of the dataset with ice surface topography see \"GEBCO IceTopo\" below under \"Other Available Data Products\".", "identifier": "OT.122023.4326.1", "modified": "2024-03-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bathymetry", "ocean", "altimetry", "satellite", "ship soundings", "gravity anomaly" ], "spatial": "-180.0,-85.0,180.0,85.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D21VTT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Global Bathymetry and Topography at 15 Arc Sec: SRTM15+ V2.5.5", "description": "The global bathymetry and topography grid at 15 Arc Sec is the latest iteration of the SRTM+ digital elevation model (DEM) where the \"plus\" indicates the addition of ocean bathymetry from shipboard soundings and satellite-derived predicted depths. This DEM is a global elevation grid with a spatial sampling interval of 15 arc seconds (approximately 500 x 500 m pixel size at the equator). New data consists of >33.6 million multibeam and singlebeam measurements collated by several institutions, namely, the National Geospatial-Intelligence Agency, Japan Agency for Marine-Earth Science and Technology, Geoscience Australia, Center for Coastal and Ocean Mapping, and Scripps Institution of Oceanography. New altimetry data consists of 48, 14, and 12 months of retracked range measurements from Cryosat-2, SARAL/AltiKa, and Jason-2, respectively. Onshore, topography data are sourced from previously published digital elevation models, predominately SRTM-CGIAR V4.1 between 60N and 60S. ArcticDEM is used above 60N, while Reference Elevation Model of Antarctica is used below 62S. For more information on this dataset, see its associated publication: Tozer, B, Sandwell, D. T., Smith, W. H. F., Olson, C., Beale, J. R., & Wessel, P. (2019). Global bathymetry and topography at 15 arc sec: SRTM15+. Earth and Space Science, 6, 1847. https://doi.org/10.1029/2019EA000658 or visit the project website here for more details.OpenTopography enabled access to version 2.5.5 of this dataset on November 6th 2023. Previous to this date, OpenTopography was supplying V2.1", "identifier": "OT.122019.4326.1", "modified": "2020-12-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "SRTM", "bathymetry", "ocean", "altimetry", "satellite", "ship soundings", "gravity anomaly", "Cryosat", "Jason-2", "SARAL", "Arctic DEM", "REMA" ], "spatial": "-180.0,-85.0,180.0,85.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92R3PT9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Mount Rainier, WA, 2021", "description": "This dataset consists of a two-part structure from motion (SfM) acquisition over Mount Rainier, Washington by the National Park Service Mount Rainier Geology Division in cooperation with the Alaska Region Office. This project had the unique consequence of being spatially separated into two halves (East and West) over Mount Rainier. Each half has slightly different final accuracies, all of which are reported in the metadata. Users running jobs in areas of overlap may encounter variability in elevation and/or orthomosaics in these areas. If errors in the mosaics are a concern, users are encouraged to download the raw data from the bulk download section.", "identifier": "OT.072023.26910.2", "modified": "2023-07-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mount Rainier National Park", "National Park Service", "DSM", "photogrammetry", "elevation" ], "spatial": "-121.97,46.69,-121.43,47.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92Z13Q7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bedrock River Channels of the Taiwan Central Range, 2018-2020", "description": "Dataset includes UAV derived structure-from-motion point clouds and orthomosaic imagery of bedrock river corridors across the Taiwan Central Range, complimentary to the publication: Carr, J.C., DiBiase, R.A., Yeh, E.C., Fisher, D.M., and Kirby, E. Rock properties and sediment caliber govern bedrock river morphology across the Taiwan Central Range. Sci. Adv. 9, eadg6794(2023). DOI:10.1126/sciadv.adg6794", "identifier": "OT.062023.32651.1", "modified": "2023-06-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Taiwan", "river", "bedrock river", "boulders" ], "spatial": "120.85,22.67,121.58,24.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9154F8F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Structure from Motion data along the sSAF, Salt Creek, CA 2021", "description": "This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 338,000 square meters along the main strand of the sSAF at Salt Creek, near the northeastern shoreline of the modern-day Salton Sea. The purpose of this dataset was to provide high-resolution imagery to examine tectonically offset geomorphic features to gather estimates for slip distribution for a study conducted along ~80 km of the sSAF", "identifier": "OT.072022.32611.1", "modified": "2022-07-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "southernmost San Andreas Fault", "tectonic geomorphology", "neotectonics", "geomorphology", "earthquake geology", "slip distribution", "structure from motion" ], "spatial": "-115.85,33.44,-115.83,33.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TX3CK0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Structure from Motion data along the sSAF, Ferrum, CA 2021", "description": "This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 717,000 square meters along the main strand of the sSAF at Ferrum, near the northeastern shoreline of the modern-day Salton Sea. The purpose of this dataset was to provide high-resolution imagery to examine tectonically offset geomorphic features to gather estimates for slip distribution for a study conducted along ~80 km of the sSAF", "identifier": "OT.062022.32611.1", "modified": "2022-07-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "southernmost San Andreas Fault", "tectonic geomorphology", "neotectonics", "geomorphology", "earthquake geology", "slip distribution", "structure from motion" ], "spatial": "-115.87,33.46,-115.85,33.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93F4MT2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of 1920 Haiyuan Earthquake Rupture, China 2013-2017", "description": "This dataset covers the 170 km-long western and middle sections of the 1920 Haiyuan Earthquake surface rupture across Gansu and Ningxia, China. The data is photogrammetrically derived from 0.5 m-resolution tri-stereo Pleiades optical imagery acquired by Airbus Defence and Space using the ERDAS IMAGINE software", "identifier": "OT.052022.32648.1", "modified": "2022-05-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "point cloud", "earthquake", "photogrammetry", "Pleiades", "Haiyuan", "china" ], "spatial": "103.98,36.05,106.12,37.11", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9833Q6Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Southern San Andreas Fault from Painted Canyon to Bombay Beach, CA", "description": "This high-resolution topography dataset of the Southern San Andreas Fault (SSAF) includes a point cloud, digital surface model (DSM), and orthomosaic that span ~40 km strike-length of the fault from Painted Canyon south to Bombay Beach, California, USA. The survey width is ~0.5 - 0.7 km, resulting in over 30 km2 area. The point cloud contains 8.2 x 109 points, and the DSM and orthomosaic resolutions are 10 cm and 4 cm, respectively. Field work was completed over 3 \u00bd days in February, 2020 when 15773 photographs were acquired with small uncrewed aerial system (sUAS). The final dataset was produced using structure-from-motion (SfM) processing of derived aerial photographs with georeferencing primarily from dGNSS onboard the sUAS. Vertical root-mean-square-error (RMSe) of the DSM is 0.040 m based on 155 checkpoints measured with dGNSS and horizontal RMSe is estimated to be 0.023 m based on 28 checkpoints that incorporated markers visible in aerial photographs. Motivations to produce this open dataset include: the high earthquake hazard posed by the SSAF, the broad scientific interest in the area, the excellent ability to resolve the ground surface with SfM techniques due to the very sparse vegetation, and the complement to the existing B4 lidar data collected in 2005. This work also serves as a test-run for rapid response to a future surface-rupturing event, including the potential for repeat surveys to capture afterslip. Use of the dataset should be acknowledged with authorship information and the DOI (see citation section below). For additional information, please contact Michael Bunds (michael.bunds@uvu.edu).", "identifier": "OT.092021.32611.1", "modified": "2021-09-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Andreas fault", "tectonic", "scarp", "SfM", "sUAS", "topography", "point cloud", "digital elevation model", "orthophoto", "differencing", "Painted Canyon", "Mecca Hills", "Durmid Hill", "Salt Creek", "lidar" ], "spatial": "-116.04,33.35,-115.73,33.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92RG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topography of Normal Faults in the Volcanic Tablelands, CA 2018", "description": "This dataset contains high resolution topography and orthomosaic imagery along three normal fault scarps in the Volcanic Tablelands near Bishop in Eastern California. In the Volcanic Tablelands, normal faults create prominent scarps that offset the Bishop Tuff. This area has been the focus of a number of studies on fault zone structural geology and geomorphology. Data was collected via uncrewed aerial vehicle (UAV) imagery over a number of faults in the Volcanic Tablelands. Data products include: point clouds, digital surface models (DSMs), and orthomosaics using structure-from-motion (SfM) techniques.", "identifier": "OT.062020.26911.2", "modified": "2021-08-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "normal fault", "bishop", "california", "volcanic", "SfM", "drone", "UAV", "fault scarp", "lidar" ], "spatial": "-118.51,37.43,-118.44,37.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SF2TC5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lost River Fault at Doublespring Pass Rd, Idaho 2015", "description": "This contribution comprises georeferenced, high-resolution topography and orthomosaics of part of the Lost River fault zone (LFRZ), Idaho, USA, which ruptured in the Mw 6.9 1983 Borah Peak Earthquake. The data set covers ~6.1 km of surface rupture on the LRFZ at and near Doublespring Pass Road. Point clouds and digital surface models (DSMs) were generated from low-altitude aerial photographs using Structure-from-Motion and multi-view stereo processing. The Lost River fault zone (LRFZ) is a range-bounding, west-dipping normal fault in the northern Basin and Range province. The Mw 6.9 1983 Borah Peak earthquake occurred on it and created surface rupture along the southern portion of the Warm Spring section and the entire Thousand Springs section of the fault (Crone et al., 1987; DuRoss et al., 2019). Doublespring Pass Road (DSP) crosses the fault near the center of the Thousand Springs section. At DSP the surface rupture is well exposed and preserved, and it is very easily accessed. To the north of DSP, the surface rupture trends into a salient of limestone and complexly bifurcates into multiple strands (\u0091West Spring Block\u0092 of Crone et al., 1987). North of the salient, at a site informally named Poison Spring (PS; West Spring in Crone et al., 1987), the surface rupture becomes localized again, with most displacement concentrated onto a single strand. Paleoseismic investigations have been conducted near both DSP (Hait and Scott, 1978; Schwartz and Crone, 1985) and PS (Vincent, 1995). The target sites of the data presented here were the surface rupture at DSP and PS.", "identifier": "OT.112020.6341.1", "modified": "2020-11-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Borah Peak", "earthquake", "surface rupture", "Lost River fault", "normal fault", "segment boundary", "structure-from-motion", "UAS", "high resolution topography", "point cloud", "digital elevation model", "orthomosaic", "lidar" ], "spatial": "-113.89,44.13,-113.83,44.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TH8JWV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution SFM Topography of the Central San Andreas Fault, California", "description": "The San Andreas fault at Dry Lake Valley data set comprises high-resolution topography and an orthomosaic of part of the creeping central section of the San Andreas fault (SAF) at Dry Lake Valley, California, USA. The data set covers ~3 km of the SAF and ~2.7 km2 area. The data were created using small UAS-derived low-altitude aerial photographs, Structure-from-Motion processing, and georeferencing from dGNSS onboard the sUAS and ground control points. The motivation for producing the data set was to difference the topography against EarthScope lidar of the area collected ten years earlier, in 2007, to measure strain along and across strike of the fault (Scott et al., 2020). The study site was chosen because it is the location of a previous paleoseismology study (Toke et al., 2015), and creep-induced fracturing was mapped in detail at the location in 2014 and used to infer deformation rate localized on the fault (Scott et al., 2020). For more information see: Scott, C., Bunds, M., Shirzaei, M., & Toke, N. (2020). Creep along the Central San Andreas Fault from Surface Fractures, Topographic Differencing, and InSAR. Journal of Geophysical Research: Solid Earth. https://doi.org/10.1029/2020JB019762", "identifier": "OT.082020.32610.1", "modified": "2020-08-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "San Andreas fault", "aseismic creep", "tectonic", "scarp", "structure from motion", "SfM", "sUAS", "high resolution topography", "point cloud", "digital elevation model", "topographic differencing", "lidar" ], "spatial": "-121.07,36.45,-121.04,36.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91N7Z92", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography along the Lost River Valley, Idaho 2019", "description": "The goal of this project was to systematically measure fault vertical separation to produce the most comprehensive throw dataset along the Lost River Fault (which was activated during the 1983 Borah Peak earthquake), as well as in prehistoric earthquakes. A database was created to better understand coseismic faulting processes, refine scaling laws, and further develop global probabilistic hazard calculations. (Bello et al., in prep.) Over 10,000 photographs were acquired using a DJI Phantom 4 Pro and a Phantom 4 Unmanned Aerial Vehicles (UAVs) that flew at ~50-110 meters above ground. In total, ~20 km along the strike of the Lost River Fault was measured at 13 different areas with an average width (fault trace normal) of ~417 m.", "identifier": "OT.072020.32612.1", "modified": "2020-07-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Structure from Motion", "faults", "Lost River Valley", "Borah Peak", "Idaho", "UAV", "earthquake", "coseismic", "lidar" ], "spatial": "-114.1,43.81,-113.31,44.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94M92Q1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topography of Normal Faults in the Volcanic Tablelands, CA 2019", "description": "This dataset contains high resolution topography and orthomosaic imagery along three normal fault scarps in the Volcanic Tablelands near Bishop in Eastern California. In the Volcanic Tablelands, normal faults create prominent scarps that offset the Bishop Tuff. This area has been the focus of a number of studies on fault zone structural geology and geomorphology. Data was collected via uncrewed aerial vehicle (UAV) imagery over three fault scarps each with length of 2-4 km. Data products include: point clouds, digital surface models (DSMs), and orthomosaics using structure-from-motion (SfM) techniques.", "identifier": "OT.062020.26911.1", "modified": "2020-06-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "normal fault", "bishop", "california", "volcanic", "SfM", "drone", "UAV", "fault scarp", "lidar" ], "spatial": "-118.51,37.41,-118.44,37.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97S7KXT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model V2", "description": "This dataset includes a suite of pre-seismic, 2-meter resolution optical digital surface models (DSMs) pre-dating the July 2019 Ridgecrest earthquakes. The DSMs were constructed using DigitalGlobe base imagery (\u00a9DigitalGlobe 2019) and the open source SETSM software package . DSMs are vertically and horizontally registered to a separate pre-event optical DSM that was registered to ICESat-1 data. The base imagery includes 0.5m and 0.3m panchromatic in-track stereo imagery acquired from the WorldView-2 and WorldView-3 satellites. The generation of this data sets was funded in part by SCEC in cooperation with the U.S. Geological Survey. The naming description of individual DSMs is as follows: sensor_date _id1_id2_dem_2m-DEM.tif where sensor is the sensor from which imagery was acquired (WV02-WorldView2, WV03-WorldView3), date is the acquisition dates in format YYMMMDD (i.e., 13AUG11), and id1 and id2 are the image identifier numbers provided by DigitalGlobe. NOTE:This dataset covers a different spatial extent, and uses different base imagery than the similar dataset, 2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model.", "identifier": "OT.062020.32611.1", "modified": "2020-06-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ridgecrest", "Earthquakes", "Digital Globe", "WorldView", "imagery", "pre-event", "lidar" ], "spatial": "-117.79,34.97,-117.28,36.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZC8119", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA Post-Earthquake Digital Surface Model", "description": "This dataset includes a suite of post-seismic, 2-meter resolution optical digital surface models (DSMs) post-dating the July 2019 Ridgecrest earthquakes. The DSMs were constructed using DigitalGlobe base imagery (\u00a9DigitalGlobe 2019) and the open source SETSM software package . DSMs are vertically and horizontally registered to a separate pre-event optical DSM that was registered to ICESat-1 data. The base imagery includes 0.5m and 0.3m panchromatic in-track stereo imagery acquired from the WorldView-2 and WorldView-3 satellites. The generation of this data sets was funded in part by SCEC in cooperation with the U.S. Geological Survey. The naming description of individual DSMs is as follows: sensor_date _id1_id2_dem_2m-DEM.tif where sensor is the sensor from which imagery was acquired (WV02-WorldView2, WV03-WorldView3), date is the acquisition dates in format YYMMMDD (i.e., 13AUG11), and id1 and id2 are the image identifier numbers provided by DigitalGlobe.", "identifier": "OT.062020.32611.2", "modified": "2020-06-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ridgecrest", "Earthquakes", "Digital Globe", "WorldView", "imagery", "post-event", "lidar" ], "spatial": "-117.82,35.41,-117.31,36.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TM789K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of House Range Fault, Utah", "description": "The House Range fault data set comprises high-resolution topography and an orthomosaic of part of the House Range fault (HRF) and shorelines of Late Pleistocene Lake Bonneville that it cuts in the Sevier Desert, Eastern Basin and Range Province, Utah, USA. The data set covers ~4.5 km of the HRF scarp, in the central portion of the HRF. The site was chosen for the well-developed and preserved scarp, shorelines, and cross-cutting relationships in the area. UAS \u0096 derived low-altitude aerial photographs and dGNSS \u0096 measured ground control points were processed with Structure-from-Motion and multi-view stereo software (SfM) to generate a point cloud, digital surface model (DSM), and orthomosaic, of the area. The House Range fault (HRF) is a range-bounding, west-dipping normal fault in the western Sevier Desert, within the eastern Basin and Range province, Utah, USA. There is up to 1600 m of vertical relief across the fault, and it displays characteristics typical of tectonically \u0096 driven extensional faulting, in contrast to extension that is associated with volcanism in the eastern Sevier Desert (Stahl and Niemi, 2017; Stahl et al., in review).", "identifier": "OT.102019.6341.1", "modified": "2019-10-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "House Range fault", "Basin and Range", "Sevier Desert", "tectonic", "earthquake", "surface rupture", "normal fault", "structure from motion", "SfM", "UAS", "high resolution topography", "Utah", "Lake Bonneville", "lidar" ], "spatial": "-113.4,39.36,-113.38,39.4", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9348HH6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lost River Fault Zone Near Borah Peak, Idaho", "description": "The contribution comprises high-resolution topography and orthomosaics of part of the Lost River fault zone (LFRZ), Idaho, USA. The data set covers the northern ~16 km of the surface-rupture that occurred on the LRFZ in the Mw 6.9 1983 Borah Peak Earthquake. Point clouds and digital surface models (DSMs), were generated from low-altitude aerial photographs using Structure-from-Motion and multi-view stereo processing (SfM). The LRFZ is a major, range-bounding, west-dipping normal fault in the northern Basin and Range province. The Mw 6.9 1983 Borah Peak earthquake occurred on it and created surface rupture along the southern portion of the Warm Spring section and the entire Thousand Springs section of the fault (Crone et al., 1987; DuRoss et al., 2019). The Warm Spring and Thousand Springs sections are separated by the Willow Creek Hills, which form a structural boundary. We used unoccupied aerial systems (UAS) and a tethered \"helikite\" balloon to acquire aerial photographs, which were combined with ground control georeferencing to create two point clouds that model the topography at high resolution (< 10 cm) along the northern ~16 km of surface rupture. One point cloud covers the southern ~9 km of the Warm Spring Section and a second point cloud covers the northern ~7 km of the Thousand Springs Section. DSMs were generated from the point clouds, and orthomosaics of each area were made from the aerial photographs. The primary motivation for acquisition of the data set was study of the surface offset across the Willow Creek Hills structural boundary from the 1983 earthquake and prehistoric surface-rupturing events (DuRoss et al., 2019). For more information, see the publication: DuRoss, C.B., Bunds, M.P., Gold, R.D., Briggs, R.W., Reitman, N.G., Personius, S.F., Toke, N.A., 2019, Variable normal-fault rupture behavior, northern Lost River fault zone, Idaho, USA, Geosphere, v 15,https://doi.org/10.1130/GES02096.1", "identifier": "OT.052019.6341.1", "modified": "2019-08-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Borah Peak", "earthquake", "surface rupture", "normal fault", "segment boundary", "structure-from-motion", "UAS", "high resolution topography", "lidar" ], "spatial": "-114.01,44.22,-113.91,44.34", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9222RWR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA Pre-Earthquake Digital Surface Model", "description": "This digital surface model (DSM) data set is a mosaic of 2 m resolutions stereogrammetric DSMs acquired prior to the July 2019 Ridgecrest, California earthquake sequence. The DSMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/ (Noh and Howat, 2015)) produced using DigitalGlobe Inc. base imagery (\u00a9DigitalGlobe 2018). 73 DSM strips were vertically registered to ICESat-1 observations during the mosaicking process (see metadata file for RMS fits to ICESat-1). The base images are ~0.5 m resolution in-track stereo panchromatic imagery from the Worldview-01 and -02 and GeoEye-01 satellites that remain the property of DigitalGlobe Inc. Processing Groups: Michael J. Willis, CIRES, University of Colorado, Boulder. Ryan Cassotto, CIRES, University of Colorado, Boulder. James Klassen, SharedGeo. This work is supported by award numbers: F18AC00807F and F18AC00038 Jennifer Corcoran, Minnesota Department of Natural Resources. This work is supported by USFS LSR grant number: 17-DG-11420004-273.\t Trevor Host, University of Minnesota. Brian Huberty, US Department of Fish and Wildlife. This work is supported by a FWS GLRI award. Keith Pelletier, University of Minnesota. Joseph F. Knight, University of Minnesota.", "identifier": "OT.072019.32611.1", "modified": "2019-07-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Southern California", "Eastern California Shear Zone", "Ridgecrest Earthquake", "lidar" ], "spatial": "-118.05,35.03,-117.0,36.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G998854C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2013 Baluchistan, Pakistan Post-Earthquake Stereogrammetric DEMs", "description": "This dataset includes a suite of post-seismic 2m resolution DEMs post-dating the 2013 Mw7.7 Baluchistan earthquake. The DEMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/) from DigitalGlobe base imagery (\u00a9DigitalGlobe 2018). DEMs were mosaicked and vertically registered using the Ames StereoPipeline (https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/ngt/stereo/). The base imagery included 0.5m and 0.3m resolution panchromatic imagery from QuickBird, GEOEYE, WorldView1, WorldView2, and WorldView3 (\u00a9DigitalGlobe 2018). The dataset includes DEMs generated from in-track stereo imagery, as well as DEMs constructed from mixed pairs of non-in-track stereo images. The post-event DEMs are not vertically registered to a pre-existing DEM in order to avoid removal of relative co-seismic offsets between the pre- and post-event pairs. The generation of this dataset was funded by NASA in cooperation with the U.S. Geological Survey. A complete description of the generation of this dataset and the images that were used to construct the DEMs can be found in the associated manuscript: Barnhart WD, Gold RD, Shea HN, Peterson KE, Briggs RW, Harbor DJ (2019) Vertical coseismic offsets derived from high-resolution stereogrammetric DSM differencing: The 2013 Baluchistan, Pakistan earthquake, JGR-Solid Earth. DOI:10.1029/2018JB017107 The naming convention of individual DEMs is detailed in the metadata. Note: The source data for this project are the individual 2 meter DEMs that were constructed with the SETSM open-source software (described above). However, in order to utilize the OpenTopography webmap interface, these DEMs were mosaiced into a single seamless mosaic of post-earthquake topography. Details on how this single mosaic was created are in the metadata. Users are cautioned that files created using the webmap interface will use the averaged, mosaic data. For certain applications, users may wish to utilize the source datasets by downloading the original DEMs via the \"Source\" directory under the \"Bulk Download\" section of the OpenTopography website.", "identifier": "OT.112018.32641.2", "modified": "2018-12-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Balochistan earthquake 2013", "Hoshab Fault", "Pakistan", "dem", "QuickBird", "GEOEYE", "WorldView", "NASA", "USGS", "SRTM", "seismic", "lidar" ], "spatial": "63.47,25.88,65.71,27.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9125QRC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2013 Baluchistan, Pakistan Pre-Earthquake Stereogrammetric DEMs", "description": "This dataset includes a suite of pre-seismic 2m resolution DEMs pre-dating the 2013 Mw7.7 Baluchistan earthquake. The DEMs were constructed using the open-source software package SETSM (https://mjremotesensing.wordpress.com/setsm/) from DigitalGlobe base imagery (\u00a9DigitalGlobe 2018). DEMs were mosaicked and vertically registered using the Ames StereoPipeline (https://ti.arc.nasa.gov/tech/asr/groups/intelligent-robotics/ngt/stereo/). The base imagery included 0.5m and 0.3m resolution panchromatic imagery from QuickBird, GEOEYE, WorldView1, WorldView2, and WorldView3 (\u00a9DigitalGlobe 2018). The dataset includes DEMs generated from in-track stereo imagery, as well as DEMs constructed from mixed pairs of non-in-track stereo images. The pre-event DEMs are all vertically registered to the 30 m Shuttle Radar Topography Mission (SRTM) DEM. The generation of this dataset was funded by NASA in cooperation with the U.S. Geological Survey. A complete description of the generation of this dataset and the images that were used to construct the DEMs can be found in the associated manuscript: Barnhart WD, Gold RD, Shea HN, Peterson KE, Briggs RW, Harbor DJ (2019) Vertical coseismic offsets derived from high-resolution stereogrammetric DSM differencing: The 2013 Baluchistan, Pakistan earthquake, JGR-Solid Earth DOI:10.1029/2018JB017107 The naming convention of individual DEMs is detailed in the metadata. Note: The source data for this project are the individual 2 meter DEMs that were constructed with the SETSM open-source software (described above). However, in order to utilize the OpenTopography webmap interface, these DEMs were mosaiced into a single seamless mosaic of pre-earthquake topography. Details on how this single mosaic was created are in the metadata. Users are cautioned that files created using the webmap interface will use the averaged, mosaic data. For certain applications, users may wish to utilize the source datasets by downloading the original DEMs via the \"Source\" directory under the \"Bulk Download\" section of the OpenTopography website.", "identifier": "OT.112018.32641.1", "modified": "2018-12-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Balochistan earthquake 2013", "Hoshab Fault", "Pakistan", "dem", "QuickBird", "GEOEYE", "WorldView", "NASA", "USGS", "SRTM", "seismic", "lidar" ], "spatial": "64.0,25.96,65.85,27.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W9578G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Photogrammetric model of the Tecolote Volcano, Sonora, Mexico", "description": "Topographic model of the Tecolote Volcano edifice and portions of adjacent lava flows (Pinacate Volcanic Field, Sonora, Mexico) was produced from 2,024 sUAS derived aerial photographs using the structure from motion method. Model shows numerous volcanic features including the main breached edifice, rafted edifice material on lava flow, several well preserved conical vents, and many bombs in the proximal setting. In addition, numerous fractures are evident cutting the main edifice without much tephra cover, indicating their late stage development. Work in progress by Zawacki, et al. is reconstructing the last eruption from Tecolote and suggests an eruption age of 20-40ka. Data were collected by a team from ASU and Oklahoma State University composed of: Scott, C.P., Scott, T., Lao-Davila, D.A., Clarke, A.B., Arrowsmith, J.R., and Lynch, D.", "identifier": "OT.052018.32612.1", "modified": "2018-05-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "photogrammetry", "volcano", "Pinacate", "structure from motion", "sfm", "lidar" ], "spatial": "-113.37,31.87,-113.36,31.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9028PFR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2013 Balochistan earthquake, Pakistan", "description": "This point cloud datatset covers a 5 km wide swath along an approximately 240 km long section of the 2013 Balochistan earthquake rupture in Pakistan. Point cloud data produced from 13 stereo data sets of 0.5 m resolution, panchromatic Pleiades images acquired by Airbus (funded by NERC, UK). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7. For further details see: Zhou, Y., J. R. Elliott, B. Parsons, and R. T. Walker (2015), The 2013 Balochistan earthquake: An extraordinary or completely ordinary event?, Geophysical Research Letters, 43(7), 3134-3142, doi:10.1002/2015GL065096", "identifier": "OT.012018.32641.1", "modified": "2018-01-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Balochistan earthquake 2013", "Hoshab Fault", "Pakistan", "Pleiades", "lidar" ], "spatial": "64.08,26.04,65.79,27.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VD6WJ1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "El Mayor-Cucapah Earthquake, Pleiades 2014", "description": "Point cloud data (in 2 sections) from 2 tri-stereo data sets of 0.5 m resolution, panchromatic Pleiades 1B images acquired by Airbus on 17 March 2014 and funded by the Natural Environment Research Council (NERC), UK through the Looking inside the Continents from Space (LiCS) large grant (NE/K011006/1). The images were processed using the LPS module of the ERDAS Imagine 2013 software (version 13.00.00, Build 281). A pixel-by-pixel matching procedure was implemented with a window size of 5-by-5 pixels and a correlation coefficient of 0.3 to 0.7. The point cloud covers an approximately 45 km long section of the epicentral area of the 2010 El Mayor-Cucapah earthquake in Mexico. Vertical displacements were determined by differencing the Pleiades topography and the pre-earthquake LiDAR DEM. For further details see: Zhou, Y., B. Parsons, J. R. Elliott, I. Barisin, and R. T. Walker (2015), Assessing the ability of Pleiades stereo imagery to determine height changes in earthquakes: A case study for the El Mayor-Cucapah epicentral area, J. Geophys. Res. Solid Earth, 120, 8793\u00e2\u0080\u00938808, doi:10.1002/2015JB012358.", "identifier": "OT.082016.32611.1", "modified": "2016-08-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "pleiades", "satellite photogrammetry", "earthquake", "rupture", "NERC", "VHR", "lidar" ], "spatial": "-115.73,32.25,-115.32,32.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92V2D1B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "East Helanshan Fault, northern China", "description": "This dataset contains a 100 km long section of the East Helanshan Fault on the western side of the Yinchuan Graben in northern China. This fault was the site of the devastating 1739 Yinchuan earthquake. Surface fault scarps are visible in the point cloud for much of the fault length. The point cloud data were constructed via photogrammetric methods from data acquired by Airbus Defence and Space (Pleiades 1A) and funded by the Natural Environment Research Council (NERC), UK. For further details see: Middleton, T. A., R. T. Walker, B. Parsons, Q. Lei, Y. Zhou, and Z. Ren (2016), A major, intraplate, normal-faulting earthquake: The 1739 Yinchuan event in northern China, J. Geophys. Res. Solid Earth, 121, 293-320, doi: 10.1002/2015JB012355.", "identifier": "OT.062016.32648.1", "modified": "2016-07-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "East Helanshan Fault", "Yinchuan basin", "Yinchuan Graben", "China", "intraplate fault", "lidar" ], "spatial": "105.94,38.61,106.7,39.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QJ7F8K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey of Museo Quirigua, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Museo Quirigua, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). This dataset was collected at the request of the curators of the Quirigua archeological site, as they were interested in identifying mounds and other archeological points of interest underneath the tree canopy.", "identifier": "OTDS.072026.32616.7", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Mayan archeology", "community-dataspace" ], "spatial": "-89.04,15.26,-89.04,15.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9416V95", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey 2 near Santa Catalina La Tinta, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Military Base, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.6", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-89.92,15.31,-89.9,15.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97S7M04", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey of a Mellon Farm, near Estanzuela, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Mellon Farm, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.5", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-89.62,15.0,-89.57,15.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CF9NBK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey 1 near Santa Catalina La Tinta, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of La Tinta, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.4", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-89.89,15.31,-89.84,15.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H70D1D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey near Finca del Eden, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Finca del Eden (new_place), Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.3", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-88.9,15.54,-88.88,15.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N014RQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey near Carillabas, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Carillabas, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.2", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-88.8,15.41,-88.76,15.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RR1WGR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey near La Laguna, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of La Laguna, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32615.1", "modified": "2026-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-90.33,14.83,-90.28,14.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WH2N7X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV SfM Survey of a Ranch near Costa Del Lago Cocales, Guatemala, 2024", "description": "UAV-based structure-from-motion photogrammetry survey of Byron's Ranch, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). At this site, the Trinity F90+ drone that was being used for lidar data acquisitions crashed, so we had to fall back on a DJI Mavic Mini 2 Pro drone to collect photos for SfM and photogrammetry processing. The drone did not have an automated mission software, so we flew the drone and manually collected photos with ~60-80% overlap.", "identifier": "OTDS.072026.32616.1", "modified": "2026-07-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Structure-from-motion; SfM; photogrammetry; UAV; drone; orthophoto; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology", "community-dataspace" ], "spatial": "-89.09,15.59,-89.02,15.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91834RN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Virginia Tech StREAM Lab Fall 2018 Drone Lidar Survey", "description": "Two drone lidar flights were conducted on October 9, 2018, over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-on conditions. The lidar data were collected using a Vapor35 (AeroVironment, Simi Valley, CA, USA) with a YellowScan Surveyor Core lidar unit (Monfeerier-sur-Lez, France). From these two flights, a classified point cloud, a digital terrain model (DTM) with interpolated stream bathymetry (0.1 m resolution), and a canopy height model (CHM; 0.1 m resolution) were created. These data were collected to support ecohydrological modeling research. The drone lidar survey of the StREAM Lab was replicated in Spring 2017, Fall 2018, Winter 2021, Summer 2024, and Spring 2026. The point clouds and raster products from the Spring 2017 (https://doi.org/10.5069/G95X275P) and Winter 2021 surveys (https://doi.org/10.5069/G9348HK3) are available on OpenTopography.", "identifier": "OTDS.062026.6346.1", "modified": "2026-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "StREAM Lab", "Blacksburg", "Virginia", "floodplain", "stream", "Stroubles Creek", "creek", "deciduous", "vegetation", "deciduous vegetation", "lidar", "laser scanning", "drone", "UAS", "UAV", "community-dataspace" ], "spatial": "-80.45,37.2,-80.44,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SQ8XN1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 02 July 2025", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli volcano (Italy) produced by photogrammetry from a combined UAS visible and thermal survey. Coverage includes the crater terrace, all vents, and the Sciara del Fuoco.", "identifier": "OTDS.052026.32633.1", "modified": "2026-05-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Italy", "community-dataspace" ], "spatial": "15.2,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XG9PD6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Virginia Tech StREAM Lab Summer 2024 Drone Lidar Survey", "description": "Two drone lidar flights were conducted on August 7, 2024, over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-on conditions. The lidar data were collected using a Matrice 350 RTK drone (DJI, Shenzhen, Guangdong, China) with a Zenmuse L1 lidar unit (DJI, Shenzhen, Guangdong, China). From these two flights, a classified point cloud, a digital terrain model (DTM) with interpolated stream bathymetry (0.1 m resolution), and a canopy height model (CHM; 0.1 m resolution) were created. These data were collected to support ecohydrological modeling research. The drone lidar survey of the StREAM Lab was replicated in Spring 2017, Fall 2018, Winter 2021, Summer 2024, and Spring 2026. The point clouds and raster products from the Spring 2017 (https://doi.org/10.5069/G95X275P) and Winter 2021 surveys (https://doi.org/10.5069/G9348HK3) are available on OpenTopography.", "identifier": "OTDS.062026.6346.3", "modified": "2026-06-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "StREAM Lab", "Blacksburg", "Virginia", "floodplain", "stream", "Stroubles Creek", "creek", "deciduous", "vegetation", "deciduous vegetation", "lidar", "laser scanning", "drone", "UAS", "UAV", "community-dataspace" ], "spatial": "-80.45,37.2,-80.44,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J67F57", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Virginia Tech StREAM Lab Spring 2026 Drone Lidar Survey", "description": "Two drone lidar flights were conducted on April 23, 2026, over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-off conditions. The lidar data were collected using a Matrice 350 RTK drone (DJI, Shenzhen, Guangdong, China) with a Zenmuse L1 lidar unit (DJI, Shenzhen, Guangdong, China). From these two flights, a classified point cloud, a digital terrain model (DTM) with interpolated stream bathymetry (0.1 m resolution), and a canopy height model (CHM; 0.1 m resolution) were created. These data were collected to support ecohydrological modeling research. The drone lidar survey of the StREAM Lab was replicated in Spring 2017, Fall 2018, Winter 2021, Summer 2024, and Spring 2026. The point clouds and raster products from the Spring 2017 (https://doi.org/10.5069/G95X275P) and Winter 2021 surveys (https://doi.org/10.5069/G9348HK3) are available on OpenTopography.", "identifier": "OTDS.062026.6346.2", "modified": "2026-06-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "StREAM Lab", "Blacksburg", "Virginia", "floodplain", "stream", "Stroubles Creek", "creek", "deciduous", "vegetation", "deciduous vegetation", "lidar", "laser scanning", "drone", "UAS", "UAV", "community-dataspace" ], "spatial": "-80.45,37.2,-80.44,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NZ85W7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Backpack LiDAR scans from a sand covered lava margin at Holuhraun (Iceland)", "description": "This dataset includes LiDAR-derived point clouds and digital elevation models from scans conducted at Holuhraun, Iceland, on July 24, 2022 and August 1, 2022.", "identifier": "OTDS.042026.32628.1", "modified": "2026-04-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mobile LiDAR; Planetary analog; Change detection; Holuhraun; Iceland", "community-dataspace" ], "spatial": "-16.75,64.92,-16.74,64.92", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92805VK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Virginia Tech StREAM Lab Spring 2017 Drone Lidar Survey", "description": "Two drone lidar flights were conducted on March 17, 2017 and April 5, 2017 over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-off conditions. The lidar data were collected using a Vapor35 (AeroVironment, Simi Valley, CA, USA) with a YellowScan Surveyor Core lidar unit (Monfeerier-sur-Lez, France). From these two flights, a classified point cloud, a digital terrain model (DTM) with interpolated stream bathymetry (0.1 m resolution), and a canopy height model (CHM; 0.1 m resolution) were created. These data were collected to support ecohydrological modeling research. The drone lidar survey of the StREAM Lab was replicated in Winter 2021 (Hession et al., 2023). The point cloud and raster products from the Winter 2021 survey are also available on OpenTopography (https://doi.org/10.5069/G9348HK3).", "identifier": "OTDS.042026.6346.1", "modified": "2026-04-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "StREAM Lab", "Blacksburg", "Virginia", "floodplain", "stream", "Stroubles Creek", "creek", "deciduous", "vegetation", "deciduous vegetation", "lidar", "laser scanning", "drone", "UAS", "UAV", "community-dataspace" ], "spatial": "-80.45,37.2,-80.44,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95X275P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Displaced Geomorphic Surfaces of the Bole Fault, China 2024", "description": "Digital elevation model (DEM) surveyed by an unmanned aerial vehicle and geomorphic mapping of terraces in the Yihahudai Valley. Total six levels of river terraces were identified.", "identifier": "OTDS.042026.32644.1", "modified": "2026-04-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Bole", "thrust fault", "anticline", "China", "piedmont alluvial fan", "hydrology", "geomorphology", "community-dataspace" ], "spatial": "81.35,45.1,81.38,45.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FF3QKW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - July 2024", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of July 2024, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.6", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9M61HHW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - March 2024", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of March 2024, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.5", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QZ286V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - August 2023", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of August 2023, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.4", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VQ30WQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - June 2023", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of June 2023, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.3", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90C4T1M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - October 2022", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of October 2022, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.2", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9445JQG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Tajogaite cone (La Palma, Spain) SfM DSM - March 2022", "description": "Digital surface model (DSM) of the Tajogaite new volcano edifice (2021 eruption of the Cumbre Vieja volcano, La Palma, Spain) as of March 2022, produced from UAS-derived aerial photographs using the Structure-from-Motion (SfM) method. The objective was to document at high resolution the morphological evolution of the Tajogaite cone following the 2021 eruption.", "identifier": "OTDS.022026.4083.1", "modified": "2026-02-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tajogaite", "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.87,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97W69FW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 26-27 May 2021", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the North crater terrace area.", "identifier": "OTDS.012026.32633.1", "modified": "2026-01-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Italy", "community-dataspace" ], "spatial": "15.21,38.79,15.21,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HD7SX0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Crater Elegante, Sonora, Mexico, November 2022", "description": "Digital surface model and orthoimage for Crater Elegante derived from photogrammetry using UAS-collected photography and is tiled in 1 km^2 blocks. The model is useful for mapping this explosive volcanic structure and the surrounding deposits. The coordinate system is in decimal degrees. \n\nAuthors: Elisheva Sherman1, Madeline Schwarz1, Tasha Coelho1, Laura Kerber2, Rebecca Greenberger3, Amanda Clarke1, Ramon Arrowsmith1\nOrganizations: 1Arizona State University, 2NASA Jet Propulsion Lab, 3California Institute of Technology\n\nFunding: NASA grant 21-SSW21-0003 and NSF EAR 2034788", "identifier": "OTDS.122025.6340.1", "modified": "2025-12-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Crater Elegante", "community-dataspace" ], "spatial": "-113.41,31.83,-113.37,31.86", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N58JM8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Displaced Geomorphic Surfaces of the Mulei Fault, China 2024", "description": "The Mulei fault displaced the piedmont alluvial fan and river terraces. Vertical displacements of\ndifferent heights can be observed on the alluvial fan and river terraces.", "identifier": "OTDS.122025.32646.1", "modified": "2025-12-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mulei Fault; Tian Shan", "community-dataspace" ], "spatial": "89.56,43.64,90.63,43.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WM1BN7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mobile lidar scans in the Mariposa Grove of Giant Sequoias, California", "description": "This dataset contains six individual mobile lidar scans, with each scan corresponding with a geophysical survey conducted in the Mariposa Grove of Giant Sequoias in Yosemite National Park. Each mobile lidar survey was registered to the adjacent/overlapping surveys, and these co-registered surveys were registered as a merged entity to the USGS 3D Elevation Program point cloud, providing georeferencing to a global coordinate system. As a result, multiple individual surveys can be joined/viewed together without offset between the clouds, and these ground-based surveys can be merged/visualized with the 3DEP lidar data as well. In particular, these ground-based surveys do not fully capture the tops of the tall sequoia trees; therefore, merging with the airborne 3DEP point cloud data improves the resolution of the upper portions of the tallest trees. Please note that there may be local areas where the alignment between the mobile lidar and the 3DEP data is off by a few decimeters. Such misalignments can be improved by performing an ICP type fine registration in a program like CloudCompare.", "identifier": "OTDS.112025.32611.1", "modified": "2025-11-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "sequoia", "critical zone", "Yosemite National Park", "trees", "vegetation", "Clothespin tree", "Wawona", "community-dataspace" ], "spatial": "-119.61,37.5,-119.59,37.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9542KTD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Jang La - Dhaulagiri SW fault (Western Nepal fault system) Survey, Oct 2021", "description": "This dataset includes two surveys conducted on the Jang La stepover fault segment that connects the Tripurakot fault and the Dhaulagiri SW fault of the Western Nepal fault system. The surveys cover areas targeted as prospective slip rate and paleoseismic investigation sites. Georeferencing for the dataset is derived from the photo geotags.", "identifier": "OTDS.102025.32644.3", "modified": "2025-10-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Purbang", "Pupal Phedi", "photogrammetry", "drone", "active fault", "Himalaya", "paleoseismology", "community-dataspace" ], "spatial": "82.95,28.75,82.98,28.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P26WCS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2025 Gad Valley Rock Glacier UAV Lidar Data", "description": "As part of an ongoing USGS StateMap funded research project on rock glaciers in Utah, the Utah Geological Survey (UGS) collected point cloud data of a small rock glacier in September 2025. This is the third data acquisition for this project, with the others being in September 2023 and 2024. The project area is located within Snowbird Ski Resort in Little Cottonwood Canyon, Salt Lake County, Utah. The goal of this project is to perform yearly repeat flights of the area and conduct topographic differencing to detect changes and movement in the body of the rock glacier.", "identifier": "OTDS.102025.32612.3", "modified": "2025-10-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "rock glacier", "lidar", "utah", "wasatch", "UAV", "community-dataspace" ], "spatial": "-111.66,40.55,-111.66,40.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98W3BJT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2024 Gad Valley Rock Glacier UAV Lidar Data", "description": "As part of an ongoing USGS StateMap funded research project on rock glaciers in Utah, the Utah Geological Survey (UGS) collected point cloud data of a small rock glacier in September 2024. This is the second data acquisition for this project, with the first being in September 2023. The project area is located within Snowbird Ski Resort in Little Cottonwood Canyon, Salt Lake County, Utah. The goal of this project is to perform yearly repeat flights of the area and conduct topographic differencing to detect changes and movement in the body of the rock glacier.", "identifier": "OTDS.102025.32612.2", "modified": "2025-10-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "rock glacier", "lidar", "utah", "wasatch", "UAV", "community-dataspace" ], "spatial": "-111.66,40.55,-111.66,40.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DN4390", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dhorpatan fault (Western Nepal fault system) Survey, October 2021", "description": "This dataset contains products from a drone-based photogrammetry survey over a target site on the Dhorpatan fault - a portion of the Western Nepal fault system. The survey was in support of a project seeking to constrain slip rates and paleoearthquake timing along the Western Nepal fault system. Photographs were collected with a DJI Mavic Pro and processed using SfM/MVS methods in Agisoft Metashape Pro.", "identifier": "OTDS.102025.32644.2", "modified": "2025-10-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Himalaya", "active fault", "moraine", "Structure-from-Motion", "drone", "community-dataspace" ], "spatial": "83.02,28.57,83.03,28.57", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ST7N2R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2023 Gad Valley Rock Glacier UAV Lidar Data", "description": "As part of an ongoing USGS StateMap funded research project on rock glaciers in Utah, the Utah Geological Survey (UGS) collected point cloud data of a small rock glacier in September 2023. The project area is located within Snowbird Ski Resort in Little Cottonwood Canyon, Salt Lake County, Utah. The goal of this project is to perform yearly repeat flights of the area and conduct topographic differencing to detect changes and movement in the body of the rock glacier.", "identifier": "OTDS.102025.32612.1", "modified": "2025-10-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "rock glacier", "lidar", "utah", "wasatch", "UAV", "community-dataspace" ], "spatial": "-111.66,40.55,-111.66,40.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JD4V0W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dhaulagiri Southwest fault (Western Nepal fault system) Survey, Oct 2021", "description": "This dataset contains products from three individual surveys of target sites on the Dhaulagiri Southwest fault - a portion of the Western Nepal fault system. The surveys were in support of a project seeking to constrain slip rates and paleoearthquake timing along the Western Nepal fault system. Photographs were collected with a DJI Mavic Pro and processed using SfM/MVS methods in Agisoft Metashape Pro.", "identifier": "OTDS.102025.32644.1", "modified": "2025-10-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Himalaya", "fault", "Structure from Motion", "UAV", "community-dataspace" ], "spatial": "83.09,28.65,83.12,28.67", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XK8CRM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Lions Den Gorge Bluff, Wisconsin, October 2023", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels", "identifier": "OTDS.102025.32616.1", "modified": "2025-10-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.89,43.34,-87.88,43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K935ST", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Lions Den Gorge Bluff, Wisconsin, November 2022", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.102025.32616.2", "modified": "2025-10-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.89,43.34,-87.88,43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FN14DX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Lions Den Gorge Bluff, Wisconsin, October 2022", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.102025.32616.3", "modified": "2025-10-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.89,43.34,-87.88,43.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99W0CQN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Res SfM Topography of a Portion of the 2019 M7.1 Ridgecrest Rupture", "description": "Georeferenced 0.014 m/pixel UTM GeoTIFF DEM, covering a portion of the 2019 M7.1 Ridgecrest earthquake surface rupture, acquired on 6 April 2024. The DEM was generated using Structure-from-Motion photogrammetry applied to drone photographs.", "identifier": "OTDS.092025.32611.1", "modified": "2025-09-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Ridgecrest", "Structure From Motion", "DSM", "earthquake", "community-dataspace" ], "spatial": "-117.48,35.64,-117.48,35.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TT4P5P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Satellite stereo pointclouds of the Yasman and Vakhsh Valleys, Tajikistan", "description": "This data was collected to search for surface ruptures of the 1949 Mw7.6 Khait Earthquake. It \nis a 232 km2 area of Worldview-3 imagery which has been processed to create an elevation \npointcloud. The area encompasses the northern slope of the Yasman Valley, the town of Khait, \nthe Khait Landslide, triggered by the 1949 earthquake. The point cloud was derived by applying \nthe NASA Ames Stereo Pipeline toolkit. These worldview footprints are labelled P00X where \nX=1,2,3,4. \n\nAlso included is a footprint derived from Pleiades stereo imagery 174km2 on the Vakhsh Fault \ncovering near vertical ruptures higher up the valley side. This was derived using Agisoft \nMetashape Pro v1.6", "identifier": "OTDS.072025.32642.1", "modified": "2025-07-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "earthquake", "khait", "hoit", "tajikistan", "fault", "surface rupture", "glacier", "community-dataspace" ], "spatial": "70.56,39.08,71.51,39.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GH9G5W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Point Beach State Forest, Wisconsin, August 2021", "description": "Lake Michigan\u0092s water level was recently near an all-time high, leading to widespread erosion of coastal bluffs and beaches. These coastal environments are integral parts of nearby communities and estimating how shorelines will evolve in response to changing lake conditions is vital for sustainable community planning. The terrestrial sediment input from eroding beaches and especially bluffs, balanced against nearshore transport processes, determines the stability of a coastal region. Estimating the rates of those processes requires obtaining in situ measurements, which is challenging but essential for developing effective shoreline protection strategies. To address this shortcoming, researchers will collect repeat topobathy and nearshore wave data to create a hydrodynamic model that can couple offshore sediment transport with onshore erosion. These model results will be used to develop simple wave run-up / bluff erosion estimates that can be applied throughout the region.\nFunding: Wisconsin Sea Grant 2022-2024 R/RCE-19", "identifier": "OTDS.062025.32616.1", "modified": "2025-06-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.51,44.2,-87.51,44.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90K26SB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Point Beach State Forest, Wisconsin, September 2023", "description": "Lake Michigan\u0092s water level was recently near an all-time high, leading to widespread erosion of coastal bluffs and beaches. These coastal environments are integral parts of nearby communities and estimating how shorelines will evolve in response to changing lake conditions is vital for sustainable community planning. The terrestrial sediment input from eroding beaches and especially bluffs, balanced against nearshore transport processes, determines the stability of a coastal region. Estimating the rates of those processes requires obtaining in situ measurements, which is challenging but essential for developing effective shoreline protection strategies. To address this shortcoming, researchers will collect repeat topobathy and nearshore wave data to create a hydrodynamic model that can couple offshore sediment transport with onshore erosion. These model results will be used to develop simple wave run-up / bluff erosion estimates that can be applied throughout the region.\nFunding: Wisconsin Sea Grant 2022-2024 R/RCE-19", "identifier": "OTDS.052025.32616.1", "modified": "2025-05-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-87.51,44.2,-87.51,44.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9833Q7D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dawson Los Monos Canyon Reserve Pasture and Creek UAV LiDAR Survey, CA 2024", "description": "Residual Dry Matter (RDM) refers to the non-green/non-photosynthetic annual plant material left on the ground at the end of a growing season. Managing RDM is important for fire and grazing management in California Rangeland ecosystems. \n\nEstimating RDM through traditional field methods is labor, cost, and time-intensive, making large-scale sampling challenging. Remote sensing has been proposed to monitor RDM, however, traditional multispectral sensors often confuse RDM with bare soil due to limited spectral bands. UAV LiDAR is an alternative solution for remotely sensing RDM, however the utility and applicability of UAV LiDAR for estimating RDM in California Rangeland ecosystems is unknown.\n\nThis pilot study at UC San Diego's Dawson Los Monos Canyon Reserve (a precursor to a large-scale study across Jack and Laura Dangermond Preserve with The Nature Conservancy) was conducted to determine the optimal LiDAR flight parameters and point density for estimating plot-scale RDM. \n\nA portion of Agua Hedionda Creek was also flown as part of this mission. \n\nThis dataset has 3 files: \n\n1. 120m AGL @4m/s flight of pasture: 558 points/m2\n2. 60m AGL @2m/s flight of a portion of Agua Hedionda Creek: 2230 points/m2\n3. 60m AGL @ 2m/s flight of pasture: 2230 points/m2\n\n30m AGL @ 1m/s: 8921 and Structure from Motion Imagery of the pasture is also available upon request. These data exceed the storage limitation on the Community Dataspace\n\nFlights were conducted by Lloyd (Pete) Coulter and Wes Ramos who are certified FAA Part 107 Pilots at San Diego State University\nCOA Permit Completed by Jon Witsell\n\nReserve Day Use Permits were issued by UC San Diego Natural Reserve System\n\nSpecial thank you to the students at Palomar College and UCSD Staff for help with field data collection", "identifier": "OTDS.042025.32611.1", "modified": "2025-04-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "uav lidar", "residual dry matter", "pasture", "grassland", "rangeland", "invasive species", "community-dataspace" ], "spatial": "-117.25,33.15,-117.25,33.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CR5RKJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 08 May 2021", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the crater terrace and all vents.", "identifier": "OTDS.032025.32633.1", "modified": "2025-03-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Italy", "community-dataspace" ], "spatial": "15.2,38.79,15.22,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WS8RGB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV LiDAR Survey of RDM at Jack and Laura Dangermond Preserve, CA 2024", "description": "Residual Dry Matter (RDM) is the non-green/non-photosynthetic plant material left on the ground at the end of the growing season in rangelands across California. It is a landscape-scale estimate of aboveground biomass (lbs/acre or kgs/ha) used by agencies to guide grazing and fire fuel management across the Western United States. Estimating RDM through traditional field methods is labor, cost, and time-intensive, making large-scale sampling challenging. Studies have suggested using remote sensing to quantify non-photosynthetic vegetation biomass across rangelands and grasslands, however, little is known about the accuracy and applicability of remote sensing technologies to quantify RDM directly. \n\nThis dataset includes UAV LiDAR data used to correlate RDM ground-reference measurements with co-located UAV LiDAR data using random forest regression and linear regression models. This study was conducted on September 19-20, 2024 at the Jack and Laura Dangermond Preserve, a 24,000-acre preserve with extensive grazed and ungrazed rangelands on the Central California Coast that are managed by The Nature Conservancy. UAV LiDAR predictors are canopy height model metrics, derived from gridded UAV LiDAR Point Cloud Data. These metrics are \u0091zonal statistics\u0092 for each RDM hoop and are: chm_max, chm_range, chm_mean, chm_std, chm_sum, chm_median, chm_90percentile.\n\nThere are two files for each study area: a pre-clipping and post-clipping laz file. Pre-clip is the flight conducted before clipping the plot RDM to create a Digital Surface Model or DSM. The Post-clip flight is conducted after clipping the RDM plot to create a Digital Terrain Model or DTM of bare soil. The difference between the two datasets was used to create a canopy height model or nDSM.", "identifier": "OTDS.032025.32610.1", "modified": "2025-03-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "residual dry matter", "uav lidar", "rangeland ecology", "biomass", "vegetation", "non-photosynthetic vegetation", "community-dataspace" ], "spatial": "-120.48,34.45,-120.38,34.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S180QV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Topographic differencing spanning the 2025 Palisades and Eaton Fires, LA", "description": "In January 2025, a number of wildfires, including the Palisades and Eaton fires scorched parts of Los Angeles County, CA, destroying thousands of homes and other buildings. This is a publication of the initial 1-meter resolution topographic differencing results spanning these Los Angeles fires, along with improved pre-fire digital terrain models (DTMs) and digital surface models (DSMs), and post-fire DTMs and DSMs that match the horizontal coordinate reference system, the geoid and the resolution of the pre-fire rasters. We applied height above ground corrections to the pre-fire point cloud and a translation to the pre-fire raster dataset to improve the co-registration of the pre- and post- fire datasets. We note that these topographic change results span eight years and therefore contain many landscape changes unrelated to the fire.", "identifier": "OTDS.022025.32611.1", "modified": "2025-02-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "topographic differencing", "wildfire", "Malibu", "Topanga", "Santa Monica", "Altadena", "Sierra Madre", "community-dataspace" ], "spatial": "-118.71,34.0,-118.0,34.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95B00PW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Panola Mountain Research Watershed Outcrop Survey, Georgia, USA, July 2021", "description": "The Bedrock Critical Zone Network (NSF #2012353) research team conducted field studies at the Panola Mountain Research Watershed (PMRW) during July 2021 and March 2022. During the July 2021 field studies, we collected drone imagery over the large outcrop within the research watershed to generate photogrammetry-based DEMs and orthoimagery to support high-resolution mapping of microtopography and vegetation characteristics.", "identifier": "OTDS.022025.32616.1", "modified": "2025-02-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "critical zone", "bedrock weathering", "outcrop", "Panola Mountain", "community-dataspace" ], "spatial": "-84.18,33.63,-84.17,33.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9902209", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "SfM Topography of Stromboli volcano (Italy), 04 July 2024 - crater terrace", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the crater terrace.", "identifier": "OTDS.012025.32633.1", "modified": "2025-01-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Italy", "community-dataspace" ], "spatial": "15.21,38.79,15.21,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T151WP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Guadalupe Island, Mexico, SfM survey of Cypress forest, June 2019", "description": "A photogrammetric survey was conducted on a cypress forest in the highlands of Guadalupe Island, located in the eastern North Pacific Ocean near the coast of Baja California, Mexico. This ecosystem has been significantly impacted by fires and overgrazing and has undergone transformations due to management practices. The survey aimed to evaluate the recovery of the cypress forest following a fire in September 2008. Data collection took place in May-June 2019, using RGB cameras. The resulting image processing products included point clouds, canopy height models (CHM), and orthophotos.", "identifier": "OTDS.122024.32611.2", "modified": "2024-12-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Guadalupe Island Mexico", "Cypress forest", "Canopy Height Model", "community-dataspace" ], "spatial": "-118.34,29.08,-118.3,29.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92J693D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Guadalupe Island, Mexico, SfM survey of Cypress Forest, June 2016.", "description": "A photogrammetric survey was conducted on a cypress forest in the highlands of Guadalupe Island, located in the eastern North Pacific Ocean near the coast of Baja California, Mexico. This ecosystem has been significantly impacted by fires and overgrazing and has undergone transformations due to management practices. The survey aimed to evaluate the recovery of the cypress forest following a fire in September 2008. Data collection took place in July 2016, using RGB and NIR cameras. The resulting image processing products included point clouds, canopy height models (CHM), a digital terrain model (DTM), and orthophotos.", "identifier": "OTDS.122024.32611.1", "modified": "2024-12-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Guadalupe Island Mexico", "Cypress forest", "Canopy Height model", "community-dataspace" ], "spatial": "-118.35,29.08,-118.3,29.12", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9668BDD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Drone lidar surveys of the Tintina Fault, Yukon, Canada, September 2023", "description": "Three drone lidar surveys were conducted over the Tintina fault, near its intersection with the Dempster Highway in the Klondike region of the Yukon Territory, Canada. The data were collected to map and better constrain the kinematics and timing of Quaternary surface rupturing earthquakes on the Tintina fault. A Riegl MiniVux1-UAV laser scanner and an Applanix APX-20 UAV IMU mounted to a DJI Matrice 600 Pro drone were used to collect the dataset.", "identifier": "OTDS.112024.3154.1", "modified": "2024-11-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "drone", "lidar", "ULS", "UAV", "tintina fault", "yukon", "canada", "surface rupture", "earthquake", "paleoseismology", "community-dataspace" ], "spatial": "-138.63,63.98,-138.53,64.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MG7MR9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Landscape Evolution of the Melamchi Valley, Nepal (2014-2024)", "description": "Earthquakes, landsliding, and flooding are common natural hazards threatening the livelihood and economic progress of Nepal. The Melamchi Valley of Central Nepal has been particularly devastated by multiple disasters in recent years including the 2015 Mw7.8 Gorkha earthquake and a large sediment-laden flood in 2021. Multiple hazards and evolving ground conditions require immediate attention for the assessment of future threats and mitigation strategies. \n\nTwelve 1 m resolution digital surface models (DSMs) were produced by photogrammetry of 0.5 m resolution Pleiades stereo satellite images (Table 1) to document the topographic changes in the Melamchi Valley (Fig. 1). These DSMs show and quantify significant impacts of the 2021 flood, including intense headwater erosion and downstream sediment aggradation. Detailed data interpretation refers to Chen et al. (2024) \u0093Erosion Cascade during the 2021 Melamchi Flood\u0094 in Nature Geoscience. These high-resolution DSM data enable researchers to trace how this earthquake- and hazard-prone region evolves in the future to understand surface processes shaping rapidly eroding mountain belts. This research is funded by an NSF Frontier Research in Earth Sciences Program awarded to A. Joshua West.", "identifier": "OTDS.102024.32645.1", "modified": "2024-10-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Nepal; Melamchi; Flood; DSM", "community-dataspace" ], "spatial": "85.38,27.42,85.85,28.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R78CFK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 07-08 Oct 2023", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS surveys. Coverage includes the crater terrace, all vents, and the Sciara del Fuoco.", "identifier": "OTDS.092024.32633.5", "modified": "2024-09-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W0944V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 22-23 May 2023", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS surveys. Coverage includes the crater terrace, all vents, and the Sciara del Fuoco.", "identifier": "OTDS.092024.32633.4", "modified": "2024-09-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90P0X8K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 15 Dec 2022", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the central portion of the Sciara del Fuoco.", "identifier": "OTDS.092024.32633.3", "modified": "2024-09-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.2,38.79,15.21,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94F1NZF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 15 Oct 2022", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the Sciara del Fuoco.", "identifier": "OTDS.092024.32633.2", "modified": "2024-09-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9862DP5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 20 May 2022", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the Sciara del Fuoco.", "identifier": "OTDS.092024.32633.1", "modified": "2024-09-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.2,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CZ35DK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Displaced Geomorphic Surfaces of the Yamadu Fault, China 2022", "description": "A Structure from Motion survey was taken of the Yamadu Fault, China in July 2022. Figure 2 shows the Yamadu fault displacement of the piedmont alluvial fan and river terraces. Vertical displacements of ~12.5-15.7 m can be observed on the alluvial fan. Figure 3 shows the Yamadu fault displacement of the piedmont alluvial fan and river terraces. Vertical displacements are ~3.6 m, ~9.1 m and ~15.2 m at the T1, T2 terraces and alluvial fan, respectively.", "identifier": "OTDS.082024.32644.2", "modified": "2024-08-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Yamadu", "Structure from Motion", "UAV", "piedmont", "community-dataspace" ], "spatial": "81.67,43.56,81.8,43.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HQ3X5C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 14 July 2024", "description": "Structure-from-Motion point cloud and digital surface model (DSM) of Stromboli volcano (Italy) produced by photogrammetry from a combined UAS visible and thermal survey. Coverage includes the crater terrace, all vents, and the Sciara del Fuoco.", "identifier": "OTDS.082024.32633.3", "modified": "2024-08-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9S75DJH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-resolution DSMs along the Tuoli fault, West Junggar, China 2021", "description": "The five digital surface models (DSMs) illustrate the displacement and geomorphological changes along the Tuoli fault in the West Junggar region. The data for these DSMs were captured using the DJI Phantom 4RTK drone, which is equipped with high-precision mapping technology. These data can provide insights into the geometric and kinematic characteristics of the Tuoli Fault, which is instrumental in comprehending the deformation features of the Western Junggar region.", "identifier": "OTDS.082024.32644.1", "modified": "2024-08-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Tuoli", "Junggar", "DSM", "geomorphology", "UAV", "community-dataspace" ], "spatial": "82.91,45.58,83.72,46.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91N7ZBH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 04 July 2024", "description": "Structure-from-Motion point cloud and digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the Sciara del Fuoco.", "identifier": "OTDS.082024.32633.2", "modified": "2024-08-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WW7FWN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "McKittrick Canyon Reef Trail strat section, Guadalupe Mtns Nat. Park, TX", "description": "Dataset includes SfM point cloud of northeastern edge of McKittrick Canyon in Guadalupe Mountains national park. Point cloud spans portions of the reef trail, extending from carbonate ramp/slope deposits, to overlying massive reef (large cliffs), and backreef deposits (flat layers with overhangs). \n\nSfM photographs were collected with handheld 55mm zoom lens DSLR camera in May, 2018. Photograph locations were geotagged using an Arrow gold GPS unit to 3D accuracy of ~2 m. \n\nBare-earth airborne lidar dataset was used as reference cloud in iterative closest point alignment in CloudCompare V2.12: https://doi.org/10.5069/G9BK19G8. No vegetation filtering or clipping was performed on SfM derived point cloud. \n\nM3C2 cloud-to-cloud difference between lidar point cloud and SfM point cloud with default parameters and SfM model as cloud 1 yields 1-sigma cloud-to-cloud difference of 0.96 m and 2-sigma cloud-to-cloud difference of 2.38 m. Lidar point cloud contains significant large holes in cliff overhang locations.\n\nAccuracy is likely not sufficient for change detection analysis but is sufficient for morphometric analysis and stratigraphic mapping.", "identifier": "OTDS.052021.6342.1", "modified": "2021-05-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Guadalupe Mountains", "National Park", "Reef", "Cliff", "Fossils", "Stratigraphy", "community-dataspace" ], "spatial": "-104.77,31.99,-104.76,32.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99C6VM6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-Resolution SfM Topography of Stromboli volcano (Italy), 24 May 2024", "description": "Structure-from-Motion point cloud and digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from UAS survey. Coverage includes the crater terrace , all vents, and the Sciara del Fuoco.", "identifier": "OTDS.082024.32633.1", "modified": "2024-08-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "UAS", "Sciara del Fuoco", "Italy", "community-dataspace" ], "spatial": "15.19,38.79,15.22,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95D8Q27", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of landslides triggered by the 2015 Gorkha Earthquake, Nepal", "description": "Nine sites in the region affected by strong ground motion during the 2015 Mw 7.8 Gorkha, Nepal Earthquake were scanned using ground-based static lidar technology between July 2015 and May of 2016. All sites are north of Kathmandu, along the Trisuli, and Bhote Koshi, and Koshi rivers. The primary objective of the lidar scans was to document co-seismic landslides triggered by the earthquake immediately following the event. This information can be used to understand the failure mechanisms, slope conditions during the earthquake, and can inform future slope stability studies. The project consisted of nine scans of variable point density, all independently registered to surveyed control points.", "identifier": "OTDS.072024.32645.1", "modified": "2024-07-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Gorkha Earthquake", "Nepal", "lidar", "terrestrial lidar", "tls", "landslide", "coseismic", "community-dataspace" ], "spatial": "85.03,27.71,86.03,28.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JQ0Z7V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quaternary surface ruptures surveyed with SfM, Panamint Valley, CA", "description": "To identify and map regions of distributed faulting in late Holocene alluvium, we generated 20 high-resolution (0.5 cm), 0.16 km2 structure-from-motion digital surface models using drone-based imagery. These data were collected, as part of a Master\u0092s thesis, to resolve regions that lacked existing lidar coverage, and regions where small (0.5 - 1 m) offsets in young alluvium are poorly resolved by existing 0.5 m NCALM lidar DEMs (Figures 1-2). Data were collected at eight locations, over the course of three field seasons between March \u0096 November 2021. Each survey location (Figure 2) was given a unique name identifier based on the region and the survey takeoff/return point: 1) Mama Scarp Wash (MSW), 2) Central Alluvial Fan Wasteland (CAFW), 3) Carbonate Hill (CH), 4) Radio Tower Southeast (RTSE), 5) Radar Tower East (RTE), 6) Radar Tower North (RTN), 7) Radar Tower Southwest (RTSW), and 8) Radar Tower West (RTW). Each survey was collected using a DJI Phantom IV drone, including 6 - 8 targets of known dimensions and locations within the surveyed region, located using an EMLID Reach differential GPS. All surveys were collected using predetermined flight plans and parameters, programmed with DroneDeploy. For DroneDeploy specifications, see \u0093Survey Methods\u0094 section within the metadata document.", "identifier": "OTDS.072024.4326.1", "modified": "2024-07-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Panamint Valley", "transtensional relay", "complex faulting", "Holocene rupture", "Quaternary alluvium", "Eastern California Shear Zone", "ECSZ", "community-dataspace" ], "spatial": "-117.29,36.01,-117.26,36.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PC30M4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Surface Model of the Kruger-Malale Scarp, South Africa, June 2015", "description": "Calibrated aerial images (12x12m pixel size) were collected by the National Geo-Spatial Information of South Africa (NGI) on June 24th 2015. These aerial photographs were aligned and converted into point cloud in AgiSoft Metashape. The point cloud was rasterized into digital surface model (DSM)[10X10 pixel size] in ArcGIS. The DSM was used to extract elevation profiles in order to estimate the size Kruger-Malale Scarp. The size and other parameters of the scarp were used to estimate possible earthquake magnitude related to the scarp, which was essentially the main objective. \nUnder the supervision of Dr Alastair Sloan (Senior Lecturer at University of Cape Town) and the guidance of Shaakirah Adams (MSc graduate from University of Cape Town) , the above data processing was conducted by Anzani Ramagadane (PhD candidate at University of Cape Town). This research was financially supported by National Research Foundation of South Africa (NRF).", "identifier": "OTDS.052024.2054.1", "modified": "2024-05-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Normal faults. Tectonic geomorphology. Neotectonism", "community-dataspace" ], "spatial": "30.47,-22.41,31.03,-22.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T43R91", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "The active faults and anticline in the southern Bole Basin, China 2021", "description": "These six Digital Elevation Models (DEMs) were obtained using the DJI Phantom 4 RTK drone. The flight heights ranged from 200 to 250 meters. These datasets depict the alluvial surfaces, fault scarps, and fold scarps of the Jinghenan, Yongji, and Keguqin Faults, as well as the Jinghenan Anticline.", "identifier": "OTDS.042024.32644.1", "modified": "2024-04-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DSM", "fault scarp", "alluvial", "anticline", "community-dataspace" ], "spatial": "82.56,44.18,82.81,44.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B56GZC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Surveys of Chon Aksu and Aksu Earthquake Scarps, Kyrgyzstan, 2022", "description": "These data cover two locations where the 1911 Chon Kemin earthquake rupturedalong portions of the Aksu and Chon Aksu valleys north of Issyk Kol. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system. All heights are ellipsoidal.", "identifier": "OTDS.042024.32643.1", "modified": "2024-04-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fault scarps", "Chon Kemin earthquake", "earthquake geology", "community-dataspace" ], "spatial": "77.35,42.79,77.64,42.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96D5R6M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Terrain Model of the Idrija Fault in Northwest Slovenia, 2004", "description": "Digital Terrain Model derived from airborne LiDAR scanning in May 2004 over the central portion of the Idrija Fault in northwest Slovenia. Lidar data was devegetated manually using Trimble\u00a9 Realworks software. This work was supported by NERC ARSF grant MC04/09 and Royal Society grant 28/D/23901/SM awarded to D. Cunningham. Processing was carried out by Adrien Moulin (CEREGE, Aix-Marseille Universit\u00e9, France).\n\nThis data has contributed to the following publication:\nMoulin, Adrien, Lucilla Benedetti, Andrej Gosar, Petra Jam\u009aek Rupnik, Magali Rizza, Didier Bourl\u00e8s, and Jean-Fran\u00e7ois Ritz. \"Determining the present-day kinematics of the Idrija fault (Slovenia) from airborne LiDAR topography.\" Tectonophysics628 (2014): 188-205. https://doi.org/10.1016/j.tecto.2014.04.043", "identifier": "OTDS.032024.32633.1", "modified": "2024-03-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Slovenia", "Digital Terrain Model", "airborne lidar", "Idrija", "fault", "community-dataspace" ], "spatial": "13.77,46.0,14.01,46.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QC01Q2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Surface Model of Wadi-al-Akhdar Graben, Saudi Arabia, 2016", "description": "Stereo SPOT 6 satellite imagery was processed with the open-source software MicMac to produce a 1.6 meter Digital Surface Model (DSM). Satellite images were collected between May 2016 to November 2016 along a 1200 square kilometer section of the Wadi Al-Akhdar Graben, Saudi Arabia.", "identifier": "OTDS.032024.32637.1", "modified": "2024-03-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "graben", "Saudi Arabia", "SPOT", "stereo imagery", "digital surface model", "community-dataspace" ], "spatial": "36.6,27.73,36.87,28.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V40SDZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Rio Caonillas at El Sofa, Puerto Rico, 2023", "description": "Drone Survey 1 year after Hurricane Fiona over Rio Caonillas at El Sofa.", "identifier": "OTDS.032024.32620.1", "modified": "2024-03-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-66.64,18.22,-66.64,18.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C53J2Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Rio Caonillas at Coabey, Puerto Rico, 2022", "description": "Drone survey after Hurricane Fiona over Rio Caonillas at Coabey, Puerto Rico on November 22nd 2022", "identifier": "OTDS.032024.32620.2", "modified": "2024-03-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-66.58,18.21,-66.57,18.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97D2SCF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Rio Caonillas at El Sofa, Puerto Rico, 2022", "description": "Drone survey of Rio Caonillas at El Sofa, Puerto Rico after Hurricane Fiona. Survey was conducted on November 19th 2022.", "identifier": "OTDS.032024.32620.3", "modified": "2024-03-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-66.64,18.22,-66.64,18.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93N21MN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Koman Fault scarp, central Alai Valley, Kyrgyzstan, August 2017", "description": "UAV survey of the Koman Fault in the central Alai Valley to measure vertical scarp offsets and for tectono-geomorphic analysis.", "identifier": "OTDS.022024.32643.1", "modified": "2024-02-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Fault scarp", "Pamir", "Alai Valley", "Kyrgyzstan", "community-dataspace" ], "spatial": "72.63,39.58,72.66,39.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GT5KDV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of Wutai Shan and Yingwang Shan, China, 2021", "description": "This dataset comprises two digital elevation models (DEMs) of drainage divide segments. One is in the Wutai Shan area of the Shanxi Rift, and the other is in the Yingwang Shan area of the Loess Plateau. Both DEMs are in the North China. We used a small four-rotor Unmanned Aerial Vehicle (UAV), the DJI Phantom 4, to acquire stereo images of the areas. Based on the Structure-from-Motion (SfM) method, we obtained the DEMs with a spatial resolution of 0.67 m (the Wutai Shan_UTM49N.tif) and 0.84 m (the Yingwang Shan_UTM49N.tif). The dataset is a supplementary material for the manuscript \u0093Quantifying the migration rate of drainage divides from high-resolution topographic data\u0094 submitted to the \u0093Earth Surface Dynamics\u0094 journal. This study is supported by the CAS Pioneer Hundred Talents Program (E2K2010010) and the Fundamental Research Funds for the State Key Laboratory of Earthquake Dynamics (LED2021A02).", "identifier": "OTDS.122023.32649.1", "modified": "2023-12-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wutai Shan; Yingwang Shan; North China; Drainage divide; Migration rate; Channel head", "community-dataspace" ], "spatial": "109.77,36.06,113.23,38.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98C9TGT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty city, Kazakhstan, 2014 (derived from SPOT stereo imagery)", "description": "This dataset is a pointcloud over Almaty city, Kazakhstan, derived from SPOT6 optical panchromatic imagery acquired in 2014. The pointcloud was produced using ERDAS imagine (2020), and has been co-registered to TanDEM-X following the geolocation procedure of Nuth et al 2011, which shifted this pointcloud by 2.09/2.38/1.86 metres in the x/y/z directions respectively. A complete description of the generation of this dataset, the images that were used to construct the pointcloud and how the co-registration was performed can be found in the associated publication. Please cite this publication if you use this dataset: \n\nAmey R, Elliott J, Hussain E, Walker R, Pagani M, Silva V, Abdrakhmatov K, Watson C. 2021. Significant Seismic Risk Potential from Buried Faults Beneath Almaty City, Kazakhstan, revealed from high-resolution satellite DEMs. Earth and Space Science, 10.1029/2021EA001664 \n\nThis work has been supported by the the Royal Society GCRF Challenge grant (CHG\\R1\\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690).", "identifier": "OTDS.022021.32643.2", "modified": "2021-02-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty city", "Kazakhstan", "SPOT", "satellite", "stereo imagery", "community-dataspace" ], "spatial": "76.48,43.08,77.18,43.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MS3QZT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of the Alashak Monocline, northern Tian Shan", "description": "This data is derived from drone (DJI Phantom 4 RTK) photos . It captured five levels of deformated fluvial terraces along the Alashak River.", "identifier": "OTDS.112023.32644.1", "modified": "2023-11-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "82.44,44.33,82.5,44.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NK3C7H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mattole Road Landslide, Humboldt Redwoods State Park, Weott, CA", "description": "A hillside above Mattole Road in Humboldt Redwoods State Park near the confluence of Bull Creek and the South Fork of the Eel River was collected at 20 pts/m2. A ground class was extracted, reviewed and edited in TerraScan. The ground class was evaluated against 84 surveyed elevations resulting in a mean error of 0.02\u0092 and a standard deviation of 0.12\u0092.", "identifier": "OTDS.102023.2225.1", "modified": "2023-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-123.96,40.33,-123.92,40.36", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95M63X9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of a subtle scarp at Chon Kemin, Kyrgyzstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft PhotoScan Professional software. The location is north of the Chon Kemin Valley. The survey is for investigating a subtle thrust scarp on a fan surface directly south of a prominent uphill-facing scarp.", "identifier": "OTDS.102023.32643.4", "modified": "2023-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Chon Kemin", "community-dataspace" ], "spatial": "76.59,42.86,76.6,42.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F18WX6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of a prominent thrust scarp at Chon Kemin, Kyrgyzstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft PhotoScan Professional software. The location is north of the Chon Kemin Valley. The survey is for investigating a classic thrust scarp on a fan surface.", "identifier": "OTDS.102023.32643.3", "modified": "2023-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Chon Kemin", "community-dataspace" ], "spatial": "76.57,42.85,76.58,42.86", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JS9NNM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Drone lidar surveys of the Eastern Denali Fault, Yukon, Sep 2021 & Aug 2022", "description": "Drone lidar over seven sections of the Eastern Denali Fault (EDF) were acquired over the course of two fieldtrips. The first in September 2021 and the second in August 2022. The data were collected to map and better constrain the geometry and kinematics of the EDF. A Riegl MiniVux1-UAV laser scanner and an Applanix APX-20 UAV IMU mounted to a DJI Matrice 600 Pro drone were used to collect the dataset, more information about the platform can be found in (Salomon et al. 2024). A classified point cloud and raster digital terrain models (DTMs) at different scales (30cm and 1m resolution) were produced.", "identifier": "OTDS.102023.32608.1", "modified": "2023-10-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "drone", "lidar", "fault", "glacial", "UAV", "ULS", "community-dataspace" ], "spatial": "-139.45,60.89,-138.15,61.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G998857Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Drone lidar survey of the eastern shore of Columbia Lake, East Kootenays", "description": "In October 2022, drone lidar was acquired acquired on the east shore of Columbia Lake, East Kootenays, Canada. The data were collected to produce DTMs which will aid current investigations of whether features in the landscape were created by active faulting. A Riegl MiniVux1-UAV laser scanner and an Applanix APX-20 UAV IMU mounted to a DJI Matrice 600 Pro drone were used to collect the dataset, more information about the platform can be found in (Salomon et al. 2024).A classified point cloud and raster digital terrain models (DTMs) at different scales (30cm and 1m resolution) were produced.", "identifier": "OTDS.102023.2955.1", "modified": "2023-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "drone", "lidar", "fault", "alluvial fan", "ULS", "UAV", "community-dataspace" ], "spatial": "-115.86,50.26,-115.84,50.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PK0DCW", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Drone lidar survey of the San Juan Fault, Vancouver Island, September 2022", "description": "In September 2022, drone lidar was acquired over two sites of interest along the San Juan Fault (SJF), southern Vancouver Island, Canada. The data were collected to produce DTMs which will aid current investigations of whether this fault has been active since the area was last glaciated. A Riegl MiniVux1-UAV laser scanner and an Applanix APX-20 UAV IMU mounted to a DJI Matrice 600 Pro drone were used to collect the dataset, more information about the platform can be found in (Salomon et al. 2024). A classified point cloud and raster digital terrain models (DTMs) at different scales (50cm and 1m resolution) were produced.", "identifier": "OTDS.102023.3157.2", "modified": "2023-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fault", "drone", "lidar", "glacial", "UAV", "ULS", "community-dataspace" ], "spatial": "-123.88,48.61,-123.81,48.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TB1542", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Turkmenistan, 2013-2014", "description": "These datasets cover the Main K\u00f6petdag (Kopeh Dagh) Fault near Serdar in Turkmenistan. The point cloud data were derived via Agisoft Metashape from data acquired by SPOT-6 bi-stereo optical satellite imagery.", "identifier": "OTDS.102023.32640.4", "modified": "2023-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "The Main K\u00f6petdag (Kopeh Dagh) Fault", "Turkmenistan", "community-dataspace" ], "spatial": "55.88,38.49,57.03,39.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Z31WWF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of scarps near the Lower Lake at Chon Aksu, Kyrgyzstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft PhotoScan Professional software. The location is next to the lake (Ye-Ozerko) in Chon Aksu Valley. The survey is for investigating a thrust scarp and the fissures in the hanging wall.", "identifier": "OTDS.102023.32643.2", "modified": "2023-10-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Chon Aksu", "community-dataspace" ], "spatial": "77.38,42.84,77.4,42.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96H4FNC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of a scarp on a fan near Chon Aksu, Kyrgyzstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft PhotoScan Professional software. The location is near Kyrchyn Zhailoo and the survey is for investigating a thrust scarp cutting fan on the NE side of the valley.", "identifier": "OTDS.102023.32643.1", "modified": "2023-10-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "77.51,42.83,77.52,42.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B856BN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Drone lidar and SfM survey of the XEOLXELEK-Elk Lake Fault, May 2021", "description": "A SfM collection was collected on May 4th, 2021, over a section of fault scarp on the edge of XEOLXELEK \u0096 Elk Lake (pronounced: hul-lahk-lik, abbreviated XELF). Drone lidar was acquired over the same site two weeks later, on May 17th, 2021. The data were collected to assist in the excavation of a paleoseismic trench. An additional objective was to use these datasets to compare SfM and drone lidar collections. The imagery for the SfM model was collected using a DJI Phantom 4 Professional V2 drone, with the onboard camera. For the drone lidar, a Riegl MiniVux1-UAV laser scanner and an Applanix APX-20 UAV IMU mounted to a DJI Matrice 600 Pro drone were used to collect the dataset, more information about the platform can be found in Salomon et al. (2024). A classified point cloud and raster digital terrain models (DTMs) at different scales (20cm and 1m resolution) were produced.", "identifier": "OTDS.102023.3157.1", "modified": "2023-10-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "drone", "lidar", "ULS", "SfM", "paleoseismology", "fault", "UAV", "community-dataspace" ], "spatial": "-123.39,48.52,-123.39,48.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92V2DBC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Neyshabour, Iran, 2014", "description": "This dataset contains the geomorphology of a ~25 km long section of the fault geomorphology near Neyshabour in the NE Iran. The point cloud datasets were derived via the rational function model (RFM) with the Leica Photogrammetry Suite (LPS) built in ERDAS Imagine from data acquired by SPOT-6 tri-stereo optical satellite imagery.", "identifier": "OTDS.102023.32640.3", "modified": "2023-10-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "58.73,36.07,59.1,36.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G15Z20", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Sabzevar, Iran, 2013-2014", "description": "This dataset contains the geomorphology of a ~70 km long section of the fault geomorphology near Sabzevar in the NE Iran. The point cloud datasets were derived via the rational function model (RFM) with the Leica Photogrammetry Suite (LPS) built in ERDAS Imagine from data acquired by SPOT-6 tri-stereo optical satellite imagery.", "identifier": "OTDS.102023.32640.2", "modified": "2023-10-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "56.98,36.18,57.78,36.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KS6PS0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Esferayen, Iran, 2015", "description": "This dataset contains the geomorphology of a ~30 km long section of a fault near Esferayen in the NE Iran. The point cloud datasets were derived via the rational function model (RFM) with the Leica Photogrammetry Suite (LPS) built in ERDAS Imagine from data acquired by SPOT-6 bi-stereo optical satellite imagery.", "identifier": "OTDS.102023.32640.1", "modified": "2023-10-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "57.27,36.87,57.89,37.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QJ7FJ5", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of a reverse fault at Ala-Bash, Kyrgyzstan, 2022", "description": "This dataset shows the geomorphology of a reverse fault near Ala-Bash in a small basin located at the SW of Lake Issyk-Kul in Kyrgyzstan. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system.", "identifier": "OTDS.092023.32643.1", "modified": "2023-09-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "76.47,42.12,76.5,42.13", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MS3R0P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Weinan, China, 2013", "description": "This dataset contains a short section of the Weinan Fault with the river terraces of the Chishui river catchment. The scarps in the datasets are related to the 1556 Huaxian Earthquake in China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades stereo optical imagery).", "identifier": "OTDS.102023.32649.1", "modified": "2023-10-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "109.58,34.41,109.71,34.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93R0R3W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV surveys of Yucaipa Ridge, CA, watersheds (2018) prior to El Dorado Fire", "description": "Point clouds and 1-cm resolution orthophotos spanning 0.01-0.1 km2 regions across steep hillslope and headwater channel terrain in Yucaipa Ridge, CA, USA, prior to the 2020 El Dorado Fire. Original photographs are available upon request. Surveys collected in 2018 predate the El Dorado Fire and are paired with surveys collected in 2020 that postdate the El Dorado Fire. \n\nImagery was collected using a Mavic Pro quadcopter. Data processing was performed in Agisoft Metashape (version 2.0.2 build 16404). Alignment and georeferencing performed using iterative-closest-point alignment in CloudCompare (v2.12.0) with clipped airborne lidar-derived point cloud without vegetation filtering used as reference dataset: (U.S. Geological Survey (2020) USGS One Meter CA SoCal Wildfires B1 2018, United States Geological Survey 3D Elevation Program 1-meter Digital Elevation Model).", "identifier": "OTDS.102023.6340.1", "modified": "2023-10-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "cliffs", "wildfire", "debris flow", "landslide", "forest", "community-dataspace" ], "spatial": "-116.98,34.06,-116.93,34.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9028PRS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV surveys of Yucaipa Ridge, CA catchments after the 2020 El Dorado Fire", "description": "Point clouds and 1-cm resolution orthophotos spanning 0.01-0.1 km2 regions across steep hillslope and headwater channel terrain in Yucaipa Ridge, CA, USA following the 2020 El Dorado Fire and prior to significant winter rainfall. 1-cm orthophotos were compressed following procedures suggested here. Surveys postdate the El Dorado Fire. Imagery was collected using a Mavic Pro quadcopter. Data processing was performed in Agisoft Metashape (version 2.0.2 build 16404). Alignment and georeferencing performed using iterative-closest-point alignment in CloudCompare (v2.12.0) with clipped airborne lidar-derived point cloud without vegetation filtering used as reference dataset: (U.S. Geological Survey (2020) USGS One Meter CA SoCal Wildfires B1 2018, United States Geological Survey 3D Elevation Program 1-meter Digital Elevation Model).", "identifier": "OTDS.102023.6340.2", "modified": "2023-10-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "cliffs", "wildfire", "debris flow", "landslide", "community-dataspace" ], "spatial": "-116.98,34.06,-116.93,34.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V9869B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Huaxian, China, 2013-2022", "description": "This dataset contains a ~100 km long section of the Huashan Fault which is related to the 1556 Huaxian Earthquake in China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades stereo optical imagery).", "identifier": "OTDS.092023.32649.1", "modified": "2023-09-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "109.15,34.34,110.03,34.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97H1GSR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "SfM DSMs of Stromboli volcano (Italy) collected by UAS surveys (2018-2020)", "description": "Structure-from-Motion digital surface model (DSM) of Stromboli Volcano (Italy) produced by photogrammetry from repeated UAS surveys before, between, and after the two 2019 paroxysms (September 2018, May, August and September 2019, January and June 2020). These datasets were used to investigate changes in topography at the summit areas of the volcano. Results of this study, as well as further details of these datasets, are published in Civico et al., 2021 - Unoccupied aircraft systems (UAS) reveal the morphological changes at Stromboli volcano (Italy) before, between, and after the 3 July and 28 August 2019 paroxysmal eruptions", "identifier": "OTDS.052021.32633.1", "modified": "2021-05-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Italy", "Structure from Motion", "UAS", "community-dataspace" ], "spatial": "15.21,38.79,15.22,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95M63WV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Salyan, Azerbaijian, 2021", "description": "This dataset contains the topography of a fault system in the SE of Caucasus mountains near Salyan, eastern Azerbaijan. The point cloud data were derived via Agisoft Metashape from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.092023.32638.1", "modified": "2023-09-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "48.68,39.46,49.18,40.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H13076", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Salyan region, Azerbaijan 2022", "description": "This dataset shows a reverse fault that uplifted the river terrace near Salyan, Azerbaijan. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system. All heights are ellipsoidal.", "identifier": "OTDS.092023.32638.2", "modified": "2023-09-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "49.06,39.59,49.07,39.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C827HG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Corinth, Greece, 2022", "description": "This dataset contains the topography and geomorphology of the normal faults around the Corinth Canal in Greece. The point cloud data were derived via Agisoft Metashape from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.092023.32635.1", "modified": "2023-09-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "22.85,37.86,23.05,37.99", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W957CT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Naryn, Kyrgyzstan, 2018", "description": "This dataset contains a ~35 km long section of a range front fault at Naryn in Kyrgyzstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery)", "identifier": "OTDS.082023.32643.7", "modified": "2023-08-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "75.91,41.38,76.4,41.51", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98G8HXK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the range front fault in Karakudzhur, Kyrgyzstan, 2018", "description": "The 2 point cloud datasets are derived from drone (DJI Phantom 4) photos by Agisoft Photoscan Professional software. It captured the range front fault in Karakudzhur, Kyrgyzstan.", "identifier": "OTDS.082023.32643.4", "modified": "2023-08-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "76.18,41.94,76.24,41.95", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99G5K1X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Karakudzhur, Kyrgyzstan, 2018", "description": "This dataset contains a ~35 km long section of a range front fault at Karakudzhur in Kyrgyzstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery)", "identifier": "OTDS.082023.32643.6", "modified": "2023-08-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "75.71,41.9,76.36,42.01", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J101D1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, At-Bashi, Kyrgyzstan, 2018", "description": "This dataset contains a ~20 km long section of a range front fault at At-Bashi in Kyrgyzstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.082023.32643.5", "modified": "2023-08-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "76.02,41.22,76.38,41.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NS0S3M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Shonzhy region, Kazakhstan, 2015", "description": "The point cloud dataset is derived from drone (DJI Phantom) photos by Agisoft Photoscan Professional software. It captured the fault scarps near Shonzhy in Kazakhstan.", "identifier": "OTDS.082023.32644.2", "modified": "2023-08-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "79.41,43.54,79.43,43.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D798N9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Tabas, Iran, 2014", "description": "This dataset contains a ~50 km long section of the fault responsible for the 1978 Tabas-e-Golshan earthquake in Iran. The point cloud datasets were derived via the rational function model (RFM) with the Leica Photogrammetry Suite (LPS) built in ERDAS Imagine from data acquired by SPOT-6 stereo optical satellite imagery.", "identifier": "OTDS.082023.32640.1", "modified": "2023-08-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "56.85,33.07,57.44,33.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95Q4T96", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the fault traces in the NW of Issyk-Kul, Kyrgyzstan, 2017 & 2018", "description": "The 4 point cloud datasets are derived from drone (DJI Phantom 2 and 4) photos by Agisoft Photoscan Professional software. It captured the strike-slip fault traces and reverse fault scarps in the northwest of the Issyk-Kul in Kyrgyzstan.", "identifier": "OTDS.082023.32643.3", "modified": "2023-08-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "75.88,42.41,76.45,42.67", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F769SP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the fault scarps in At-Bashi, Kyrgyzstan, 2017 and 2018", "description": "The 3 point cloud datasets are derived from drone (DJI Phantom 2 and 4) photos by Agisoft Photoscan Professional software. It captured the fault scarps at the range front in At-Bashi in Kyrgyzstan.", "identifier": "OTDS.082023.32643.2", "modified": "2023-08-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "76.16,41.19,76.44,41.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K072GZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Naryn Valley, Kyrgyzstan, 2017 and 2018", "description": "The 4 point cloud datasets are derived from drone (DJI Phantom 2 and 4) photos by Agisoft Photoscan Professional software. It captured the fault scarps within the Naryn Valley and a small scarp in the NE of the Naryn Valley in Kyrgyzstan.", "identifier": "OTDS.082023.32643.1", "modified": "2023-08-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "76.23,41.46,76.48,41.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PN93VJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Ugam-Chatkal, Uzbekistan 2015", "description": "This dataset contains a ~10 km long section of a fault trace in the Ugam-Chatkal National Park in northeastern Uzbekistan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.072023.32641.1", "modified": "2023-07-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "70.39,41.77,70.67,41.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KW5D8M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Chinchilla fault scarp, Chuculay fault system, Chile, July 2018", "description": "A drone based photogrammetry survey of the Chinchilla fault scarp of the Chuculay fault system, Chile, 2018. Completed for the MS thesis project \u0093The Bouncing Boulders of the Atacama\u0094, Paul Morgan https://doi.org/10.7298/t9bt-e465 Initial photos were taken over many flights, with inconsistent lighting and flight paths. So the quality of the imagery and DEM vary throughout the study area with some alignment errors producing blurred imagery and digital elevation artifacts that are manifested as sharp (~1 m) offsets along mostly linear bands within the study area.", "identifier": "OTDS.062023.32719.1", "modified": "2023-06-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-69.84,-21.1,-69.8,-21.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RN362T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery in Changma, China, 2015", "description": "This dataset contains a ~120 km long section of the Changma Fault which is related to the 1932 Changma Earthquake in China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades stereo optical imagery).", "identifier": "OTDS.082023.32646.1", "modified": "2023-08-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "96.66,39.47,97.82,39.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SJ1HSG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, NE Zaisan, Kazakhstan, 2019", "description": "This dataset contains a ~90 km long section of a reverse fault at the northeastern Zaisan Basin in Kazakhstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.062023.32644.4", "modified": "2023-06-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "84.52,48.14,85.68,48.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94X5619", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Tacheng, China, 2019", "description": "This dataset contains a ~50 km long section of the North Tacheng Fault at the northern Tacheng Basin in China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.062023.32644.3", "modified": "2023-06-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "83.8,46.74,84.57,46.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98P5XQS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey 2 of the petroglyph scarps on NW of Ili Basin, Kazakhstan, July 2014", "description": "This point cloud, DEM and orthophotography data are derived from photos taken by a compact digital camera (Ricoh GR Digital II) suspended from a helium filled Helikite (Allsopp Helikite Ltd.) by Agisoft Photoscan Professional software. This dataset captured the most western part of a series of scarps in the NW Ili Basin, Kazakhstan", "identifier": "OTDS.082023.32644.1", "modified": "2023-08-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "79.17,44.34,79.32,44.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91Z42M9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the concentric scarps, Dzhungarian Fault, Kazakhstan, July 2019", "description": "This point cloud, DEM and orthophotography data are derived from drone (DJI Phantom 4) photos by Agisoft Photoscan Professional software. It captured a series of concentric scarps on the splays of the Dzhungarian Fault, Kazakhstan.", "identifier": "OTDS.062023.32644.1", "modified": "2023-06-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "81.42,45.89,81.42,45.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SN075R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Sarkand range front fault, Kazakhstan, 2014", "description": "This point cloud, DEM and orthophotography data are derived from photos taken by a compact digital camera (Ricoh GR Digital II) suspended from a helium filled Helikite (Allsopp Helikite Ltd.) by Agisoft Photoscan Professional software. It captured a scarp near Sarkand, Kazakhstan.", "identifier": "OTDS.052023.32644.3", "modified": "2023-05-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "79.42,45.39,79.45,45.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XD0ZWP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Jajarm, Iran, 2017", "description": "This dataset contains a ~40 km long section of the Jajarm Fault in Iran. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades stereo optical imagery)", "identifier": "OTDS.052023.4326.3", "modified": "2023-05-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "55.94,37.01,56.37,37.19", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9251GDT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Dasht-e-Bayaz Fault, Iran,2015", "description": "This dataset contains a ~75 km long section of the Dasht-e-Bayaz Fault in Iran. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.052023.32640.1", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "58.59,33.98,59.89,34.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95X2747", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Luoshan Fault, China, 2014", "description": "This dataset contains a ~15 km long section of the Luoshan Fault in China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.052023.4326.2", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "106.27,37.14,106.38,37.34", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99K48F7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey 1 of the petroglyph scarps on NW of Ili Basin, Kazakhstan, July 2014", "description": "This point cloud, DEM and orthophotography data are derived from photos taken by a compact digital camera (Ricoh GR Digital II) suspended from a helium filled Helikite (Allsopp Helikite Ltd.) by Agisoft Photoscan Professional software. This dataset captured the most western part of a series of scarps in the NW Ili Basin, Kazakhstan", "identifier": "OTDS.062023.32644.2", "modified": "2023-06-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "78.97,44.34,78.98,44.35", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DB801K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Karkara range front fault, Kazakhstan, 2014", "description": "This point cloud, DEM and orthophotography data are derived from photos taken by a compact digital camera (Ricoh GR Digital II) suspended from a helium filled Helikite (Allsopp Helikite Ltd.) by Agisoft Photoscan Professional software. It captured a scarp in front of a river valley in Karkara, Kazakhstan.", "identifier": "OTDS.052023.32644.2", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "79.32,42.74,79.35,42.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FB514H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Karkara, Kazakhstan, 2014", "description": "This dataset contains a ~50 km long section of the Karkara range front fault at the boundary of Kazakhstan and Kyrgyzstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades stereo optical imagery)", "identifier": "OTDS.052023.32644.1", "modified": "2023-05-15", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "78.97,42.71,79.4,42.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9K35RVF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Suusamyr, Kyrgyzstan 2015", "description": "This dataset contains a ~50 km long section of the Suusamyr Fault in Kyrgyzstan. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades tri-stereo optical imagery).", "identifier": "OTDS.052023.4326.1", "modified": "2023-05-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "73.24,42.14,73.81,42.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PV6HKV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Virginia Tech StREAM Lab Winter 2021 Drone Lidar Survey", "description": "Two drone lidar flights were conducted on November 11, 2021 and December 13, 2021 over the Virginia Tech StREAM Lab (https://www.bse.vt.edu/research/facilities/StREAM_Lab.html) during leaf-off conditions. The lidar data were collected using a Vapor35 (AeroVironment, Simi Valley, CA, USA) with a YellowScan Surveyor Core lidar unit (Monfeerier-sur-Lez, France). From these two flights, a classified point cloud, a ground point density raster (1 m2 resolution), a digital elevation model (DEM) with surveyed stream bathymetry (0.1 m2 resolution), and a canopy height model (CHM; 0.1 m2 resolution) were created. This data was collected to support hydrodynamic modeling research.", "identifier": "OTDS.042023.6346.1", "modified": "2023-04-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "StREAM Lab", "Blacksburg", "Virginia", "floodplain", "stream", "Stroubles Creek", "creek", "deciduous", "vegetation", "deciduous vegetation", "lidar", "laser scanning", "drone", "UAS", "UAV", "community-dataspace" ], "spatial": "-80.45,37.2,-80.44,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9348HK3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "DEMs and Orthomosaics of Hydrothermal Sites in the Central NV Seismic Belt", "description": "This dataset includes DEMs and orthorectified photomosaics built from high-resolution structure-from-motion models of eight sites in the northern Central Nevada Seismic Belt. Geologic features of interest include active hot springs and fumaroles, fossil travertine and sinter deposits, fault scarps, and Late Pleistocene shorelines from Lake Lahontan and Lake Dixie. Please see the attached files for site-specific metadata.", "identifier": "OTDS.012023.32108.1", "modified": "2023-01-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dixie Valley; Buena Vista Valley; Kyle; Sou; Hyder; Lower Ranch; Senator; Cottonwood Canyon; Stillwater Range; travertine; sinter; shoreline; fault; hot spring; fumarole", "community-dataspace" ], "spatial": "-117.93,39.95,-117.6,40.41", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P26WBB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "San Felipe Ranch Fenceline MLS, CA 2022", "description": "Mobile Laser Scanning survey of a fence line crossing a trace of the Calaveras fault at San Felipe Ranch east of San Jose, CA.", "identifier": "OTDS.122022.32610.1", "modified": "2022-12-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Calaveras fault", "fault creep", "community-dataspace" ], "spatial": "-121.68,37.28,-121.68,37.28", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9610XJG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Surveys of Kura Frontal Thrust, Azerbaijan, 2022", "description": "These data show two locations where the Kura Frontal Thrust of the Greater Caucasus Mountains has produced large folds in river terraces. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system. All heights are ellipsoidal.", "identifier": "OTDS.112022.32639.1", "modified": "2022-11-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "48.23,40.55,48.43,40.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93776XH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bigelow Hills, Yolo County, northern California, July 2021", "description": "LAZ-format point cloud and GeoTIF digital surface model for the Bigelow Hills, Yolo County, CA derived from UAV photography with ground control using RTK GPS. The Bigelow Hills lie along the West Winters strand of the Great Valley Fault System (Trout Creek section). The Bigelow Hills lie approximately 2 km west of the city of Winters, CA, and just north of the active channel of Putah Creek. The hills themselves have a sharp, linear western margin interpreted to be fault-controlled. This survey was conducted to create a high-resolution (~10cm pixel) digital surface model of the study site, to assist in site characterization and local geomorphologic mapping at the Bigelow Hills site.", "identifier": "OTDS.102022.32610.1", "modified": "2022-10-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "UAV", "Bigelow Hills", "California", "Putah Creek", "fault", "geomorphology", "community-dataspace" ], "spatial": "-121.99,38.5,-121.98,38.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90G3HBK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High-resolution Topography of Sertengshan Piedmont Fault, Northern China", "description": "This dataset comprises a 1-m-resolution digital elevation model (DEM) of the Sertengshan Piedmont Fault in Northern China acquired by an airborne LiDAR survey. The LiDAR data were collected by the Aerospace ShuWei Company in Beijing, China in August 2019, using a Riegl VUX-1LR airborne LiDAR system mounted on a DM-150W fixed-wing unmanned aerial vehicle (UAV). The LiDAR data cover about a 1-km-wide swath along ~185 km section of the Sertengshan Piedmont Fault. The average point density is higher than 4 points/m2 and as high as 10 points/m2 in some local areas. The vertical accuracy of the LiDAR data is demonstrated to be better than 10 cm.", "identifier": "OTDS.082022.4545.1", "modified": "2022-08-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "High-resolution", "LiDAR", "topography", "Sertengshan Piedmont Fault", "Northern China", "community-dataspace" ], "spatial": "107.31,40.92,109.92,41.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92F7KN7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Gloss Mountain State Park, Oklahoma, November 7 2021", "description": "This Unoccupied Aerial Vehicle (UAV) survey was flown as part of a graduate class exercise at the Boone Pickens School of Geology at Oklahoma State University. The purpose was to provide students with experience in producing a high-resolution orthomosaic, Digital Elevation Model (DEM), and Point Cloud of an area. Moreover, the purpose was to provide high-resolution data of the state park, which is frequently visited in Oklahoma. The geological formation outcrops as a mesa defined by sub-horizontal strata of shale capped by a more resistant layer of gypsum.", "identifier": "OTDS.072022.32615.1", "modified": "2022-07-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mesa", "Blaine Escarpment", "community-dataspace" ], "spatial": "-98.58,36.36,-98.57,36.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FN14CG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2018 Sky Valley, Structure from Motion data along the southern SAF", "description": "This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 164,000 square meters along the Mission Creek strand of the sSAF at Sky Valley.", "identifier": "OTDS.062022.32611.2", "modified": "2022-06-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "southernmost San Andreas Fault", "tectonic geomorphology", "neotectonics", "geomorphology", "earthquake geology", "structure from motion", "community-dataspace" ], "spatial": "-116.37,33.87,-116.36,33.88", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BV7DSK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Sep 2021", "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) as of 27 September 2021, produced from 915 UAS derived aerial photographs using the Structure-from-Motion method. The 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. The model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits.", "identifier": "OTDS.062022.4083.1", "modified": "2022-06-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.91,28.61,-17.86,28.62", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R49P0T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 Durmid Hill, Structure from Motion data along the sSAF", "description": "This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 411,000 square meters along the main strand of the sSAF at Durmid Hill. The purpose of this dataset was to provide high-resolution imagery to examine tectonically offset geomorphic features to gather estimates for slip distribution for a study conducted along ~80 km of the sSAF.", "identifier": "OTDS.062022.32611.1", "modified": "2022-06-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "southernmost San Andreas Fault", "tectonic geomorphology", "neotectonics", "geomorphology", "earthquake geology", "slip distribution", "structure from motion", "community-dataspace" ], "spatial": "-115.81,33.41,-115.79,33.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GM85H9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 Biskra Palms, Structure from Motion data along the sSAF", "description": "This high-resolution topography dataset of the southernmost San Andreas Fault (sSAF) includes a point cloud, digital surface model (DSM) and orthomosaic that cover an area of approximately 101,000 squared meters along the Mission Creek strand of the sSAF at Biskra Palms in Indio Hills. The purpose of this dataset was to provide high-resolution imagery to examine tectonically offset geomorphic features to gather estimates for slip distribution for a study conducted along ~80 km of the sSAF.", "identifier": "OTDS.062022.4326.1", "modified": "2022-06-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "southernmost San Andreas Fault", "tectonic geomorphology", "neotectonics", "geomorphology", "earthquake geology", "slip distribution", "structure from motion", "community-dataspace" ], "spatial": "-116.23,33.77,-116.22,33.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VX0DRT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Mt Porche fault, Central Apennines, Italy, June 2018", "description": "The dataset is a DSM of the Mt Porche fault, a fault segment of the Mt Vettore Fault ( Central Apennines, Italy ). The survey took place after the 2016 rupture.", "identifier": "OTDS.052022.32633.1", "modified": "2022-05-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Italy", "fault", "community-dataspace" ], "spatial": "13.22,42.88,13.23,42.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NC5ZDG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Purgatorio Fault, South Peru: Zone 1, March 2020", "description": "A photogrammetry-derived set of lidar files over late Quaternary and historic fault scarps along the Purgatorio Fault within the Southern Peru forearc. Datasets show the historical rupture (1715 CE) of the Purgatorio reverse fault.", "identifier": "OTDS.042022.32719.1", "modified": "2022-04-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "photogrammetry", "Peru", "Purgatorio", "fault", "Quaternary", "community-dataspace" ], "spatial": "-70.62,-17.48,-70.57,-17.46", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DV1H36", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the 2008 Nura earthquake surface rupture, Kyrgyzstan, 2018", "description": "This raster is related to the surface rupture resulting from the 2008 Nura earthquake in south Kyrgyzstan. Digital surface models (DSM) were generated by acquiring low-altitude (between 35\u0096120 m) aerial photographs using an unmanned aerial vehicle (UAV). UAV drone models included the DJI Phantom 4 Pro and Mavic Pro carrying cameras with build in global navigation satellite system (GNSS) with 10 m accuracy, and a photo pixel resolution of 5472 x 3648 px and 4000 x 3000 px, respectively. To reduce the positional error of the resulting models, ground-control points (GCP) were placed throughout the survey areas with ~DIN-A0-sized blue tarp targets. The target positions were measured using a kinematic differential GNSS (dGNSS) system.\nThe dataset comprises eight individual sets, each subdivided into four tiles. This segmentation is necessitated by the substantial size of the dataset, a result of its high resolution. This high resolution enables the precise resolution of surface rupture offsets down to the decimeter scale.", "identifier": "OTDS.032024.32643.1", "modified": "2024-03-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "surface rupture", "flexural-slip faulting", "collision zone", "Kyrgyzstan", "Nura", "community-dataspace" ], "spatial": "73.8,39.6,73.85,39.64", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZW1J4C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Point clouds derived from satellite imagery, Dzhungarian Fault", "description": "This dataset contains a ~280 km long section of the Dzhungarian Fault (Bo-A Fault) running across Kazakhstan and China. The point cloud data were derived via photogrammetric methods by Leica Photogrammetry Suite built in ERDAS Imagine from data acquired by Airbus Defence and Space (Pleiades bi-stereo optical imagery).", "identifier": "OTDS.042022.32644.1", "modified": "2022-04-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dzhungarian Fault", "Kazakhstan", "Intraplate Fault", "community-dataspace" ], "spatial": "80.79,44.4,83.14,46.15", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9XS5SMQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the pull-apart basin, Dzhungarian Fault, Kazakhstan, July 2019", "description": "This point cloud, DEM and orthophotography data are derived from drone (DJI Phantom 4) photos by Agisoft Photoscan Professional software. It captured one of the scarps of a pull-apart basin triggered by the Dzhungarian Fault inside the Dzhungarian Alatau, Kazakhstan.", "identifier": "OTDS.032022.32644.3", "modified": "2022-03-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dzhungarian Fault", "Kazakhstan", "Pull-apart Basin", "community-dataspace" ], "spatial": "81.65,45.75,81.67,45.76", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FT8J8G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Rygayty River, the Dzhungarian Fault, Kazakhstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft Photoscan Professional software. It captured the laterally-offset channels by the Dzhungarian Fault in the southeast of the Rygayty River at the range front of the Dzhungarian Alatau, Kazakhstan.", "identifier": "OTDS.032022.32644.4", "modified": "2022-03-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dzhungarian Fault", "Rygayty River", "Kazakhstan", "offset channels", "community-dataspace" ], "spatial": "81.89,45.67,81.91,45.68", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B27SHM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Tentek River, Dzhungarian Fault, Kazakhstan, July 2019", "description": "This point cloud data is derived from drone (DJI Phantom 4) photos by Agisoft PhotoScan Professional software. It captured a fault scarp possibly triggered by the Dzhungarian Fault in the north of the Dzhungarian Alatau, Kazakhstan.", "identifier": "OTDS.032022.4326.1", "modified": "2022-03-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Dzhungarian Fault", "Tentek River", "Kazakhstan", "Fault Scarp", "community-dataspace" ], "spatial": "81.05,45.98,81.06,45.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KK9906", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 Cumbre Vieja volcano eruption (La Palma, Spain) SfM DSM, Jan 2022", "description": "Digital surface model of the Cumbre Vieja new volcano edifice and lava flows (La Palma, Spain) produced from 9970 UAS derived aerial photographs using the Structure-from-Motion method.\nThe 2021 eruption of Cumbre Vieja volcano is the largest eruptive event in recorded history for La Palma Island (Canary Island, Spain). Over almost 3 months (September 19 - December 13, 2021), the volcano produced profound morphological changes in the landscape affecting both the natural and the anthropic environment over an area of tens of km2. \nThe model shows numerous volcanic features including the new main edifice, lava flows, rafted material on lava flows, and tephra deposits. In addition, numerous fractures affecting the main edifice are evident.\nFor more details on this dataset, please see the citation:\nCivico, R., Ricci, T., Scarlato, P. et al. High-resolution Digital Surface Model of the 2021 eruption deposit of Cumbre Vieja volcano, La Palma, Spain. Sci Data 9, 435 (2022). https://doi.org/10.1038/s41597-022-01551-8.", "identifier": "OTDS.032022.4083.1", "modified": "2022-03-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Cumbre Vieja", "Volcano", "Eruption", "Canarias", "Spain", "Structure from Motion", "SfM", "UAS", "community-dataspace" ], "spatial": "-17.93,28.6,-17.86,28.63", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96971S8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of the Lagtan Anticline", "description": "This dataset comprises an high-resolution structure-from-motion (SfM) model (<0.1 m/pixel) surveyed by a small DJI four-rotor RTK unmanned drones along the eastern segments of the Lagtan fold. Lagtan fold is an branch of 150 km-long Kusongmuxieke fault, located in the southern margin of Bole basin in the northwestern Tianshan. The high-resolution SfM model indicates the fold geomorphological deformation.", "identifier": "OTDS.032022.32644.2", "modified": "2022-03-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lagtan Fold; Kusongmuxieke thrusts; Bole basin; Tian Shan; Active tectonics", "community-dataspace" ], "spatial": "82.58,44.27,82.63,44.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QC01PM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of the Jinghenan Fault", "description": "This dataset comprises two high-resolution structure-from-motion (SfM) models (<0.1 m/pixel) surveyed by a small DJI four-rotor RTK unmanned drones along the eastern segments of the Jinghenan Fault. Jinghenan Fault is a branch of the Kusongmuxieke thrust fault . The flying height of the two data are 150-200 m above the surface. The image were processed with Pix 4D. The two data are located on the both bank of the Jinghe river.", "identifier": "OTDS.032022.32644.1", "modified": "2022-03-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kusongmuxiek Fault; Jinghenan Fault; Northern Tianshan", "community-dataspace" ], "spatial": "82.89,44.4,82.95,44.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97942W6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 ZigZag Landslide Reconnaissance, Morgan County, Utah", "description": "UAV data from the 2021 ZigZag Landslide Reconnaissance monitoring project in Morgan County, Utah.", "identifier": "OTDS.082025.4326.1", "modified": "2025-08-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-111.85,41.21,-111.85,41.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93B5XC9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 Waste Dump Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2021 reconnaissance of the Waste Dump landslide along State Route 167 (Trappers Loop Road) in Morgan County, Utah.", "identifier": "OTDS.122021.4326.3", "modified": "2021-12-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "community-dataspace" ], "spatial": "-111.81,41.21,-111.81,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W0943D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2021 HeaveHo Landslide Reconnaissance, Weber County, Utah", "description": "Structure from Motion data from a 2021 reconnaissance of the HeaveHo landslide near State Route 226 (Snow Basin Road) in Weber County, Utah.", "identifier": "OTDS.122021.4326.2", "modified": "2021-12-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "community-dataspace" ], "spatial": "-111.84,41.21,-111.84,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90R9MK0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2020 HeaveHo Landslide Reconnaissance, Weber County, Utah", "description": "SfM-derived model of the HeaveHo landslide along State Route 226 near Snowbasin Ski Resort, Weber County, Utah.", "identifier": "OTDS.122021.4326.1", "modified": "2021-12-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "community-dataspace" ], "spatial": "-111.84,41.21,-111.84,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94J0C98", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Selmun promontory, northern Malta, 2021", "description": "These data were collected with a DJI Phantom 4 Pro over the Selmun promontory which is located along the north-eastern coast of Malta, central Mediterranean.\nIn this area, the evident cliff retreat is linked to landslide processes involving the outcropping geological succession, characterized by the over position of stiff limestones on ductile clays. Such an instability process consists of a lateral spreading associated with toppling and fall of different-size rock blocks. Starting from the 3D model obtained from the UAV-photogrammetry, a digital geological-structural survey was performed in which have been identified the spatial geometry of the fractures that characterize the area of the Selmun promontory by measuring strike, dip and dip direction of the fractures with semi-automatic digital tools.\nThe data were produced as part of the doctoral thesis of Dr Emanuele Colica and in support of the European project Interreg V-A Italy-Malta NEWS (Nearshore hazard monitoring and Early Warning System).", "identifier": "OTDS.112021.32633.1", "modified": "2021-11-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Cliff retreat", "Landslide", "Lateral spreading", "Toppling", "Rockfall", "Limestone", "Photogrammetry", "UAV", "Malta", "community-dataspace" ], "spatial": "14.38,35.97,14.39,35.97", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D21VSC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Kilcris, Isle of Skye, 2021", "description": "These data show a student field mapping area in the southwest part of Isle of Skye near Kilcris, Scotland. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system. All heights are ellipsoidal.", "identifier": "OTDS.112021.4326.3", "modified": "2021-11-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Isle of Skye", "Scotland", "UAV", "Photogrammetry", "community-dataspace" ], "spatial": "-5.96,57.18,-5.92,57.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NG4NTS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Xinmo pre/post landslide, Szechuan, China, 2012/13 and 2017, SETSM DEMs", "description": "This dataset contains raster DEMs from Xinmo Valley, Szechuan, China pre and post landslide. produced from WorldView-02 stereo and crosstrack imagery. Pre landslide imagery was acquired on 12-Sep-2013 and 06-Dec-2012 and post-landslide stero imagery was acquired on 17-Jul-2017. DEMs were produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. Both pre and post landslide have two associated DEMs, one of which is unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both pre landslide DEMs were then co-registered to the post landslide imagery following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. \"Evaluation of high\u2010resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm.\" Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR\u20101640894 to AJW.", "identifier": "OTDS.112021.32648.1", "modified": "2021-11-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Szechuan", "China", "SETSM", "stereo", "WorldView", "imagery", "TIN", "landslide", "community-dataspace" ], "spatial": "103.63,32.06,103.68,32.09", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95H7DGJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2020 ZigZag Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2020 reconnaissance of the ZigZag landslide near State Route 226 (Snow Basin Road) in Morgan County, Utah.", "identifier": "OTDS.112021.4326.2", "modified": "2021-11-10", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "ZigZag Landslide", "Morgan County", "Utah", "community-dataspace" ], "spatial": "-111.85,41.21,-111.85,41.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9X0657S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sinabung Volcano (Indonesia), June 20, 2018", "description": "UAS oblique optical image survey of Sinabung Volcano, North Sumatra, Indonesia. Dataset contains UAS images and the dense point cloud and DEM produced by structure-from-motion processing with Agisoft Metashape. Survey conducted on June 20, 2018 using a DJI Matric 210 UAS and DJI Zenmuse X4S optical camera. Two UAS flights from different launch locations, flown approximately 45 minutes apart, were used to collect the images. Final model used 454 images. Dataset used for manuscript currently under review in Frontiers in Earth Science.", "identifier": "OTDS.112021.32647.1", "modified": "2021-11-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sinabung", "Volcano", "Lava Flow", "Indonesia", "structure-from-motion", "community-dataspace" ], "spatial": "98.39,3.14,98.43,3.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9988568", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Wainiha Valley, HI, USA, 2012, SETSM DEM derived from WV imagery", "description": "This dataset contains raster DEMs over Wainihia Valley, HI USA produced from WorldView-01 stereo imagery acquired on 21January 2012 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. \"Evaluation of high\u2010resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm.\" Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR\u20101640894 to AJW.", "identifier": "OTDS.112021.32604.1", "modified": "2021-11-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Wainiha Valley", "HI", "TIN", "SETSM", "WorldView", "stereo", "imagery", "community-dataspace" ], "spatial": "-159.6,22.11,-159.52,22.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DZ06HH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Coyote Mountains CA, USA, 2016, SETSM DEM derived from WV imagery", "description": "This dataset contains raster DEMs over Coyote Mountains, CA USA produced from WorldView-01 stereo imagery acquired on 21July 2016 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. \"Evaluation of high\u2010resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm.\" Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR\u20101640894 to AJW.", "identifier": "OTDS.112021.32611.2", "modified": "2021-11-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Coyote Mountains", "CA", "TIN", "WorldView", "stereo", "imagery", "SETSM", "community-dataspace" ], "spatial": "-116.16,32.81,-116.09,32.84", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JQ0Z6D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Carrizo Plains CA, USA, 2012, SETSM DEM derived from WV imagery", "description": "This dataset contains raster DEMs over Carrizo Plains, CA USA produced from WorldView-01 stereo imagery acquired on 30 October 2012 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), each are named as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. \"Evaluation of high\u2010resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm.\" Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR\u20101640894 to AJW.", "identifier": "OTDS.112021.32611.1", "modified": "2021-11-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Carrizo Plains", "CA", "TIN", "WorldView", "stereo", "imagery", "SETSM", "community-dataspace" ], "spatial": "-119.86,35.25,-119.81,35.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PG1PXQ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Boulder Creek CO, USA, 2009, SETSM DEM derived from WV imagery", "description": "This dataset contains raster DEMs over Boulder Creek, CO, USA produced from WorldView-01 stereo imagery acquired on 18 September 2009 produced using the Surface Extraction from TIN Space-search Minimization (SETSM) algorithm. The raw imagery has 0.5m resolution and the SETSM algorithm was employed using a 2m output resolution. The two DEMs in the dataset contain one unfiltered and one filtered with a local surfacing filter (LSF), the filtered one is labelled as such. Both were then co-registered to LiDAR following the geolocation procedure of Nuth and Kaab 2011. A complete description of the generation of this dataset, the images that were used to construct the raster and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: Atwood, Abra, and A. Joshua West. \"Evaluation of high\u2010resolution DEMs from satellite imagery for geomorphic applications: A case study using the SETSM algorithm.\" Earth Surface Processes and Landforms. 2021. This work has been supported by the NSF Grant EAR\u20101640894 to AJW.", "identifier": "OTDS.112021.32613.1", "modified": "2021-11-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Boulder", "WorldView", "stereo", "imagery", "SETSM", "TIN", "community-dataspace" ], "spatial": "-105.37,40.0,-105.33,40.03", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9T72FNF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of fault south of Song Kul, Kyrgyzstan, 2021", "description": "These data show an active strike slip fault along the south edge of the Song Kul basin in the Kyrgyz Tien Shan. These data were collected using a Phantom 4 Pro v2.0 with Teokit dGPS system. All heights are ellipsoidal.", "identifier": "OTDS.112021.4326.4", "modified": "2021-11-19", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Song Kul", "Kyrgyzstan", "UAV", "SfM", "Photogrammetry", "strike slip", "fault", "community-dataspace" ], "spatial": "75.38,41.73,75.43,41.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9HQ3X4X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bishkek city, Kazakhstan, 2013 (derived from Pleiades tristereo imagery)", "description": "This dataset is a pointcloud over Bishkek city, Kyrgyzstan, derived from Pleiades tristereo optical imagery acquired in 2013. The pointcloud was produced using Agisoft Metashape (version 1.6.2). The raw imagery was 0.5m resolution Pleiades tristereo imagery, which was processed in Agisoft with \u0091High\u0092 accuracy alignment parameters, and the depth maps were produced using \u0091Ultra high\u0092 quality and \u0091Mild\u0092 filtering. The original 202,403 tiepoints were filtered down to 153,326 before creation of the dense clouds by removing tie-points with a projection accuracy of greater than 5. The image has been cropped slightly at the edges to remove edge artefacts.\n\nMore information about this dataset, the images that were used to construct the pointcloud and how the co-registration was performed can be found in the associated manuscript:\n\nAmey RMJ, Elliott J, Watson C, Walker R, Pagani M, Silva V, Hussain E, Abdrakhmatov K, Baikulov S, Tilek kyzy G, Improving urban seismic risk estimates for Bishkek, Kyrgyzstan, from improved geological knowledge of hazards, submitted 2021\n\nThis work has been supported by the the Royal Society GCRF Challenge grant (CHG\\R1\\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690).", "identifier": "OTDS.092021.32643.1", "modified": "2021-09-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Bishkek city", "Kyrgyzstan", "Pleiades", "tristereo", "optical", "imagery", "Tien Shan", "community-dataspace" ], "spatial": "74.46,42.79,74.71,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92R3PW6", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pamir Frontal Thrust, central segment, trench site T5: Kyrgyzstan, 2018", "description": "UAV survey of trenching site to measure the vertical and horizontal offsets across a fault scarp.\nThis dataset is part of extended trenching study along the central segment of the Pamir Frontal Trust fault.", "identifier": "OTDS.082021.32643.1", "modified": "2021-08-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "paleoseismology", "fault scarp", "Pamir Frontal Thrust", "Kyrgyzstan", "community-dataspace" ], "spatial": "72.76,39.51,72.79,39.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93R0R2F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pamir Frontal Thrust, central segment, trench site T3: Kyrgyzstan, 2018", "description": "UAV survey of trenching site to measure the vertical and horizontal offsets across a fault scarp.\nThis dataset is part of extended trenching study along the central segment of the Pamir Frontal Trust fault.", "identifier": "OTDS.082021.32643.2", "modified": "2021-08-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "paleoseismology", "fault scarp", "Pamir Frontal Thrust", "Kyrgyzstan", "community-dataspace" ], "spatial": "72.52,39.48,72.53,39.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G900009Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pamir Frontal Thrust, central segment, trench site T2: Kyrgyzstan 2017", "description": "UAV survey of trenching site to measure the vertical and horizontal offsets across a fault scarp.\nThis dataset is part of extended trenching study along the central segment of the Pamir Frontal Trust fault.", "identifier": "OTDS.082021.32643.3", "modified": "2021-08-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "paleoseismology", "fault scarp", "Pamir Frontal Thrust", "Kyrgyzstan", "community-dataspace" ], "spatial": "72.5,39.47,72.51,39.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QF8R2Z", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pamir Frontal Thrust, central segment, trench site T1: Kyrgyzstan 2017", "description": "UAV survey of trenching site to measure the vertical and horizontal offsets across a fault scarp.\nThis dataset is part of extended trenching study along the central segment of the Pamir Frontal Trust fault.", "identifier": "OTDS.082021.32643.4", "modified": "2021-08-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "paleoseismology", "fault scarp", "Pamir Frontal Thrust", "Kyrgyzstan", "community-dataspace" ], "spatial": "72.5,39.47,72.5,39.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KP80BM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Ray Site Jackson County Indiana Tree Uprooting, December 2018", "description": "The topography of a private property in Southern Indiana was measured with a UAS-based lidar system. A 0.25 m DEM was produced, which shows many pit-mound topographic signatures typical of tree uprooting on soil-mantled hillslopes.", "identifier": "OTDS.072021.32616.1", "modified": "2021-07-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "UAS", "lidar", "pit-mound", "uprooting", "Indiana", "tree", "community-dataspace" ], "spatial": "-86.25,38.8,-86.23,38.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98C9TFC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Skyline Drive Area, Ca\u00f1on City, Colorado, April 2021", "description": "This Unoccupied Aerial Vehicle (UAV) survey was flown to provide geology field camp students with a high-resolution orthomosaic, Digital Elevation Model (DEM), and Point Cloud of the Skyline Drive area near Ca\u00f1on City, Colorado. The area contains folded Cretaceous strata in the Frontal Range. The site contains dinosaurs tracks in the Morrison Formation. The area contains hiking trails popular with residents and tourists.", "identifier": "OTDS.062021.32613.1", "modified": "2021-06-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Frontal Range", "Colorado", "Field Camp", "Dinosaurs", "community-dataspace" ], "spatial": "-105.25,38.46,-105.25,38.47", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SF2TDM", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Grape Creek Entrance Area, Ca\u00f1on City, Colorado, March 2021", "description": "This Unoccupied Aerial Vehicle (UAV) survey was flown to provide geology field camp students with a high-resolution orthomosaic, Digital Elevation Model (DEM), and Point Cloud of the entrance to the Grape Creek mapping area. The area shows monocline of Cretaceous beds dipping to the Southeast in the Frontal Range.", "identifier": "OTDS.072021.32613.1", "modified": "2021-07-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Frontal Range", "Monocline", "Flat iron", "Colorado", "community-dataspace" ], "spatial": "-105.28,38.42,-105.26,38.43", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9D50K5N", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Point Beach, Wisconsin, September 2020", "description": "Lake Michigan experiences quasi-decadal fluctuations between high and low water levels, resulting in variable impacts to navigation and tourism, as well as changes in shoreline position and coastal habitat extent. Recent high water levels are a concern for homeowners and policy-makers due to significant shoreline recession. Nearshore waves, currents and bathymetry are major factors influencing local sediment transport and shoreline behavior, but rigorous models of these processes are largely absent for Lake Michigan and frequent \u0093real-time\u0094 surveying can be cost prohibitive for small communities. As such, there have been few attempts to quantitatively estimate potential rates and extents of wave-driven erosion and nearshore sediment transport at sandy coastal systems in the Great Lakes, particularly related to fluctuations in lake level. In this study we numerically model nearshore sediment transport and resulting changes in sandy beach and nearshore morphology in order to estimate future coastal geomorphic change in response to storms and varying lake levels.", "identifier": "OTDS.062021.32616.1", "modified": "2021-06-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "beach", "coastal erosion", "morphological modelling", "wisconsin", "community-dataspace" ], "spatial": "-87.51,44.2,-87.51,44.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91V5C5J", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Incapuquio Fault, South Peru: Tauja Zone 2018", "description": "Photogrammtry-derived DEM of the Incapuquio Fault containing late Quaternary fault scarps.", "identifier": "OTDS.042021.32719.1", "modified": "2021-04-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Incapuquio Fault", "Fault scarps", "community-dataspace" ], "spatial": "-70.16,-17.59,-70.11,-17.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TD9VH0", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Incapuquio Fault, South Peru: Santa Elena Zone 2018", "description": "Photogrammetry-derived DEM of fault scarps on the Incapuquio Fault near Santa Elena.", "identifier": "OTDS.042021.32719.2", "modified": "2021-04-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Incapuquio Fault", "Fault scarps", "Peru", "DEM", "Photogrammetry", "community-dataspace" ], "spatial": "-69.9,-17.71,-69.84,-17.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PN93T3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the Incapuquio Fault, South Peru: Chintari Zone 2018", "description": "A small, photogrammetry-derived DEM of late Quaternary fault scarps along the Incapuquio Fault within the forearc of South Peru.", "identifier": "OTDS.042021.32719.3", "modified": "2021-04-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Incapuquio Fault", "Fault scarps", "photogrammetry", "DEM", "Peru", "community-dataspace" ], "spatial": "-70.41,-17.44,-70.38,-17.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JW8C3S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Steep Headwater-Colluvial Channels, Day Creek, San Gabriel Mountains CA, US", "description": "Dataset includes UAV structure-from-motion derived point cloud of steep headwater channels, cliffs, and hillslopes in the headwaters of Day Creek, San Gabriel Mountains, CA (survey conducted in August, 2018). Model spans ~500 x 500 m and was georeferenced to airborne lidar dataset using iterative-closest-point-alignment. Approximate point density of 225 pts/m2.\n\nBare-earth airborne lidar dataset was used as reference cloud (https://doi.org/10.5069/G9J38QPM). No vegetation filtering or clipping was performed on SfM derived point cloud. M3C2 cloud-to-cloud difference with default parameters yields 1-sigma cloud-to-cloud difference of 0.21 m and 2-sigma cloud-to-cloud difference of 0.78 m.\n\nAccuracy is likely not sufficient for change detection analysis but is sufficient for morphometric analysis (channel geometries, sediment grain size, spatial patterns of soil/colluvial sediment cover).", "identifier": "OTDS.052021.26911.1", "modified": "2021-05-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "hillslope", "cliff", "san gabriel", "headwater channel", "landslide", "community-dataspace" ], "spatial": "-117.57,34.22,-117.57,34.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9F47MBX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of the Bolokenu-Aqikekuduk (Dzhungarian) Fault", "description": "This dataset comprises two high-resolution structure-from-motion (SfM) models (<0.5 m/pixel) surveyed by a small four-rotor unmanned drones along the active right-lateral strike-slip Bolokenu -Aqikekuduk (Dzhungarian) Fault in the northern Tian Shan. The flight height of unmanned drones was set from 100 to 150 m based on the different target areas. The images were processed with Agisoft Photoscan Pro software.", "identifier": "OTDS.032021.4326.3", "modified": "2021-03-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Bolokenu-Aqikekuduk (Dzhungarian) Fault; Tian Shan;", "community-dataspace" ], "spatial": "83.02,44.46,83.07,44.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G44NHR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Srednja Kanomlja trench site, Idrija Fault, Slovenia", "description": "Target: Paleoseismological trench site at the Idrija Fault, Srednja Kanomlja, Slovenia\nPurpose: Looking into possible surface deformation due to Holocene earthquakes", "identifier": "OTDS.032021.4326.1", "modified": "2021-03-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Slovenia", "Fault", "SfM", "community-dataspace" ], "spatial": "13.97,46.02,13.98,46.02", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V9868W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Banj\u009aice trench site, Predjama Fault, Slovenia", "description": "Target: Paleoseismological trench site at the Predjama Fault, Banj\u009aice, Slovenia\nPurpose: Looking into possible surface deformation due to Holocene earthquakes", "identifier": "OTDS.032021.4326.2", "modified": "2021-03-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Slovenia", "Fault", "SfM", "community-dataspace" ], "spatial": "13.72,46.06,13.73,46.06", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KW5D75", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Decadal DSMs of Apollo Bay, Victoria, Australia, 1946, 66, 71, 77 and 86", "description": "Decadal DSMs, photomosaics and point clouds of of Apollo Bay, Victoria, Australia, created through Structure-from-Motion (SfM) technique applied to historical aerial photography taken in May 1946, Mar 1966, Jan 1971, Feb 1977 and Mar 1986.\n\nThese datasets were originally generated to quantify decadal volumetric changes along sandy beaches of the iconic Great Ocean Road, in Australia. Results of this study, as well as further details of these datasets were published elsewhere (Carvalho, R. C. et al. Quantifying decadal volumetric changes along sandy beaches using improved historical aerial photographic models and contemporary data. Earth Surface Processes and Landforms, 2021).", "identifier": "OTDS.032021.28354.1", "modified": "2021-03-26", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Historical archival", "Aerial photography", "SfM-MVS", "community-dataspace" ], "spatial": "143.63,-38.8,143.72,-38.7", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QN64X1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey over Santiago, Chile from 2014 SPOT imagery", "description": "10m resolution point cloud over Santiago in Chile. Created using stereo SPOT imagery taken in 2014.", "identifier": "OTDS.022021.32719.2", "modified": "2021-02-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Santiago", "SPOT", "point cloud", "community-dataspace" ], "spatial": "-70.84,-33.69,-70.39,-33.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97M064K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty city, Kazakhstan, 2017, derived from Pleiades tristereo imagery", "description": "This dataset is a pointcloud over Almaty city, Kazakhstan, derived from Pleiades tristereo optical imagery acquired in 2017. Both the pointcloud were produced using Agisoft Metashape (version 1.6.2). The raw imagery was 0.5m resolution Pleiades tristereo imagery, which was processed in Agisoft with \u0091High\u0092 accuracy alignment parameters, and the depth maps were produced using \u0091Ultra high\u0092 quality and \u0091Mild\u0092 filtering. This has been co-registered to TanDEM-X following the geolocation procedure of Nuth et al 2011, which shifted this pointcloud by 0.08/0.72/0.80 metres in the x/y/z directions respectively.\n\nA complete description of the generation of this dataset, the images that were used to construct the pointcloud and how the co-registration was performed can be found in the associated manuscript. Please cite this publication if you use this dataset: \n\nAmey R, Elliott J, Hussain E, Walker R, Pagani M, Silva V, Abdrakhmatov K, Watson C. 2021. Significant Seismic Risk Potential from Buried Faults Beneath Almaty City, Kazakhstan, revealed from high-resolution satellite DEMs. Earth and Space Science, 10.1029/2021EA001664 \n\nThis work has been supported by the the Royal Society GCRF Challenge grant (CHG\\R1\\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690).", "identifier": "OTDS.022021.32643.3", "modified": "2021-02-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty city", "Kazakhstan", "Pleiades", "tristereo", "optical", "imagery", "community-dataspace" ], "spatial": "76.78,43.17,77.03,43.3", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H41PMP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2010 Airborne Lidar Data for Pahrump, Nye County, Nevada", "description": "Airborne LiDAR covering Pahrump, NV, and surrounding regions, including parts of Stewart Valley and Pahrump Valley. Collected in 2010 for the EPA and Nye County, Nevada. Point cloud data is no longer recoverable from the EPA, but original DEM tiles in ESRI GRID format were obtained and merged into a single data set. Coverage is incomplete over the dataset area.", "identifier": "OTDS.012021.26911.1", "modified": "2021-01-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "nevada", "nye", "pahrump", "stewart valley", "spring mountains", "last change range", "community-dataspace" ], "spatial": "-116.16,36.0,-115.85,36.32", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94T6GJP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "SfM DSM of the Drum Mountains fault scarps, Millard County, Utah", "description": "Structure-from-Motion digital surface model (DSM) produced by photogrammetry using legacy (circa 1970, 1979) single-frame aerial photographs using AgiSoft Metashape. DSM is geo-registered to the Utah AGRC 5-m auto-correlated DEM product (https://gis.utah.gov/data/elevation-and-terrain/). Nominal resolution is 0.7 m. Data set covers a diffuse set of fault scarps east of the Drum Mountains, Millard County, UT.", "identifier": "OTDS.012021.26912.1", "modified": "2021-01-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "drum mountains", "utah", "SfM", "structure from motion", "millard county", "point cloud", "basin and range", "extension", "community-dataspace" ], "spatial": "-113.03,39.25,-112.85,39.6", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9125QT8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Hebron Fault, Namibia, February 2017", "description": "Raster DEM of the Hebron fault scarp in south-western Namibia. Pan-sharpened (0.33 m pixel resolution) Worldview-3 stereo imagery was processed using the ERDAS IMAGINE 2018 Photogrammetry suite. A minimum of 5 ground control points (GCPs) were collected between 9/11/2018 and 11/11/2018 using two Leica 1200 GNSS GPSs in a base-rover configuration. \n\nProcessing was carried out by Guy Salomon (University of Cape Town, now at the University of Victoria) and Julian Smit (University of Cape Town) supported by Alastair Sloan (University of Cape Town) and funded by the National Research Foundation of South Africa (NRF) grant numbers; 110780 and 118831.\n\nThe imagery was purchased using a small grant from COMET (Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics) funded by the NERC.", "identifier": "OTDS.012021.32733.1", "modified": "2021-01-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Namibia", "Stable Contiental Region", "Normal fault", "Continental fault", "community-dataspace" ], "spatial": "15.8,-24.79,16.14,-24.48", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W957BC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty city, Kazakhstan, 2014 (derived from Pleiades stereo imagery)", "description": "This dataset is a Pointcloud over Almaty city, Kazakhstan, derived from Pleiades stereo panchromatic optical imagery acquired in 2014. The four scenes (two pairs, covering different but overlapping areas) were processed in Agisoft Metashape version 1.6.2 with \u0091High\u0092 accuracy alignment parameters, and the depth maps were produced using \u0091Ultra high\u0092 quality and \u0091Mild\u0092 filtering. These have been co-registered to TanDEM-X following the geolocation procedure of Nuth et al 2011, which shifted the eastern pointcloud by 1.61/2.24/-5.76 metres in the x/y/z directions respectively, and the western pointcloud by 3.06/1.50/-2.79 metres in x/y/z respectively. \n\nA complete description of the generation of these datasets, the images that were used to construct the DEMs and the co-registration can be found in the associated paper. Please cite this publication if you use this pointcloud: \n\nAmey R, Elliott J, Hussain E, Walker R, Pagani M, Silva V, Abdrakhmatov K, Watson C. 2021. Significant Seismic Risk Potential from Buried Faults Beneath Almaty City, Kazakhstan, revealed from high-resolution satellite DEMs. Earth and Space Science, 10.1029/2021EA001664 \n\nThis work has been supported by the the Royal Society GCRF Challenge grant (CHG\\R1\\170038) and the NERC Innovation award (grant number NE/S013911/1). JRE is supported by a Royal Society University Research fellowship (UF150282), CSW is funded by COMET and the GCRF Urban Disaster Risk Hub (NE/S009000/1), RTW is supported through the NATO Science for Peace and Security Program (Multi-year project G5690).", "identifier": "OTDS.022021.32643.1", "modified": "2021-02-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty city", "Kazakhstan", "Pleiades", "pointcloud", "agisoft", "community-dataspace" ], "spatial": "76.68,43.13,77.14,43.33", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RJ4GN3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Northern Warm Springs Valley Fault, Doyle , CA, Nov 2020", "description": "This is a 2.9 km long x 1.5 km wide SfM data acquisition along the northern part of the Warm Springs Valley fault in the Honey Lake basin. Elevations are ellipsoidal and are not corrected for a geoid model.", "identifier": "OTDS.122020.6340.2", "modified": "2020-12-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fault", "walker lane", "pluvial lake", "lahontan", "community-dataspace" ], "spatial": "-120.1,40.12,-120.06,40.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DB8004", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Segment of 1872 Owens Valley Rupture near Klondike Lake, CA 2020", "description": "This is a short ~1 km long x 175 m wide strip along the 1872 Owens Valley earthquake surface rupture just north of Big Pine, CA. This model was produced without any ground control points, and all heights are GPS / ellipsoidal, so for absolute elevations the model should be shifted using a GCP & a geoid correction.", "identifier": "OTDS.122020.6340.1", "modified": "2020-12-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Owens valley", "earthquake", "SfM", "Big Pine", "Klondike Lake", "community-dataspace" ], "spatial": "-118.32,37.2,-118.31,37.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J101CK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Chilik Fault windgap and slip rate site: Kazakhstan, 2016", "description": "Chilik Fault (left-lateral strike-slip fault) in southern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across the fault in a windgap setting.", "identifier": "OTDS.102020.4326.7", "modified": "2020-10-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kazakhstan", "tectonics", "fault", "strike-slip", "left-lateral", "windgap", "community-dataspace" ], "spatial": "78.23,43.24,78.24,43.24", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RR1WF9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Poudre River at Sheep Draw SfM Greeley, CO June 2020", "description": "In spring 2020, the world was hit by a pandemic that spread globally by March, causing universities and most of the world to move to remote means. Summer field camps, long hailed as a rite of passage in the geosciences, were cancelled throughout the US. The community moved quickly, with NAGT developing remote learning tools and arranging for sharing and collaboration between instructors and institutions. As such, UNAVCO (GETSI) and University of Northern Colorado embarked on a data collection campaign for a summer field course entitled \u0093Geoscience Field Issues Using High-Resolution Topography to Understand Earth Surface Processes\u0094 \u0096 originally slated for in-person teaching. The team collected GNSS data, drone imagery for use in structure from motion, and terrestrial laser scanning from a site near Greeley, Colorado on the Poudre River. In an assignment, students conduct a Structure from Motion (SfM) survey of the Sheep Draw field site. The end product is a point cloud used in additional assignments to conduct analyses. This is the instructor-derived SfM point cloud.", "identifier": "OTDS.102020.26913.1", "modified": "2020-10-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Poudre River", "SfM", "fluvial geomorphology", "community-dataspace" ], "spatial": "-104.78,40.44,-104.77,40.45", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9416V78", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dzhungarian Fault trench site 1: Kazakhstan, 2016", "description": "Dzhungarian Fault (right-lateral strike-slip fault) in Eastern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across a fault scarp. This site was also trenched.", "identifier": "OTDS.102020.4326.6", "modified": "2020-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tectonics", "Kazakhstan", "earthquake", "fault scarp", "community-dataspace" ], "spatial": "81.18,45.97,81.21,45.98", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WH2N6G", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dzhungarian Fault slip rate site \u0093Bear River\u0094: Kazakhstan, 2015", "description": "Dzhungarian Fault right-lateral strike-slip fault in Eastern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across a fault scarp.", "identifier": "OTDS.102020.4326.5", "modified": "2020-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tectonics", "Kazakhstan", "earthquake", "fault scarp", "community-dataspace" ], "spatial": "81.37,45.9,81.38,45.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91834PR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Dzhungarian Fault slip rate site: Kazakhstan, 2016", "description": "Dzhungarian Fault (right-lateral strike-slip fault) in Eastern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across a fault scarp. This site was also probed for slip rate measurements.", "identifier": "OTDS.102020.4326.4", "modified": "2020-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tectonics", "Kazakhstan", "earthquake", "fault scarp", "community-dataspace" ], "spatial": "81.14,45.99,81.15,46.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94X560V", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Chilik Fault trench site 1: Kazakhstan, 2016", "description": "Chilik Fault (left-lateral strike-slip fault) in southern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across a fault scarp.", "identifier": "OTDS.102020.4326.3", "modified": "2020-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "tectonics", "Kazakhstan", "earthquake", "fault scarp", "community-dataspace" ], "spatial": "78.37,43.3,78.39,43.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98P5XPB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Chilik Fault trench site 2: Kazakhstan, 2016", "description": "Chilik Fault (left-lateral strike-slip fault) in southern Kazakhstan; UAV survey to measure the vertical and horizontal offsets across a fault scarp.", "identifier": "OTDS.102020.4326.2", "modified": "2020-10-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fault scarp", "tectonics", "earthquake", "Kzakhstan", "community-dataspace" ], "spatial": "78.17,43.21,78.18,43.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DF6PD2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of the Kashihe Fault, northern Tian Shan", "description": "This dataset comprises six high-resolution structure-from-motion (SfM) models (<0.5 m/pixel) surveyed by a small four-rotor unmanned drones along the Kashihe Fault which is a Holocene active right-lateral strike-slip fault and bounds the northern margin of the Ili Basin in the northern Tian Shan. The flight height of unmanned drones was set from 140 to 200 m based on the different target areas. The images were processed with Agisoft Photoscan Pro software. After manual identification of the GCP targets with a horizontal error of 2 cm and a vertical error of 4 cm, high-precision digital elevation models (DEMs) (<0.5 m/pixel) were obtained using Photoscan to transpose from a relative to an absolute coordinate system. The DEMs display the fault kinematics and offsets on the late Quaternary geomorphic surfaces for six local areas.", "identifier": "OTDS.102020.4326.1", "modified": "2020-10-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEMs", "Kashihe Fault", "community-dataspace" ], "spatial": "81.03,43.72,83.59,44.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9PZ5711", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sierra Negra Volcano (TIR Flight 3): Gal\u00e1pagos, Ecuador, October 22 2018", "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 443 total images (available upon request)", "identifier": "OTDS.092020.32715.4", "modified": "2020-09-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sierra Negra", "Gal\u00e1pagos", "lava flow", "volcano", "UAS", "structure-from-motion", "thermal images", "community-dataspace" ], "spatial": "-91.12,-0.79,-91.11,-0.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G957196P", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sierra Negra Volcano (TIR Flight 2): Gal\u00e1pagos, Ecuador, October 22 2018", "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 490 total images (available upon request)", "identifier": "OTDS.092020.32715.3", "modified": "2020-09-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sierra Negra", "Gal\u00e1pagos", "lava flow", "volcano", "UAS", "structure-from-motion", "thermal images", "community-dataspace" ], "spatial": "-91.12,-0.79,-91.11,-0.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92F7KMS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sierra Negra Volcano (TIR Flight 1): Gal\u00e1pagos, Ecuador, October 22 2018", "description": "Point cloud and temperature map of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Point cloud created using Agisoft Metashape (v.1.6.1), temperature map created with additional processing in Matlab and ArcGIS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment. Images taken on October 22, 2018 using a DJI Zenmuse XT thermal camera on a DJI Matrice 210 UAS. 474 total images (available upon request)", "identifier": "OTDS.092020.32715.2", "modified": "2020-09-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sierra Negra", "Gal\u00e1pagos", "lava flow", "volcano", "UAS", "structure-from-motion", "thermal images", "community-dataspace" ], "spatial": "-91.12,-0.79,-91.11,-0.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9668BBH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sierra Negra Volcano (Visual): Gal\u00e1pagos, Ecuador, October 22 2018", "description": "Point cloud, DEM, and visual images of Sierra Negra Volcano (Isla Isabela, Gal\u00e1pagos Archipelago, Ecuador). Images taken on October 22, 2018. Coverage includes two vents from Fissure 1 of the June 26, 2018 eruption of Sierra Negra and lava flows sourced from these vents. Created using Agisoft Metashape (v.1.6.1). Images from DJI Zenmuse X4S camera on a DJI Matrice 210 UAS. This data is used in the manuscript \u0093Mapping and classification of volcanic deposits using multi-sensor Unoccupied Aerial Systems\u0094, currently under review at Remote Sensing of Environment.", "identifier": "OTDS.092020.32715.1", "modified": "2020-09-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sierra Negra", "Gal\u00e1pagos", "lava flow", "volcano", "UAS", "structure-from-motion", "community-dataspace" ], "spatial": "-91.12,-0.79,-91.11,-0.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G99Z932X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Cable Mountain Rockfall, Zion National Park, Utah", "description": "On August 24, 2019, at approximately 5:30 p.m., a large slab of Navajo Sandstone detached from a vertical cliff face of Cable Mountain above the Weeping Rock area, in Zion National Park, Utah. The slab of rock detached approximately 2000 vertical feet (610 meters) above the parking lot at the Weeping Rock trailhead. Utah Geological Survey (UGS) geologists conducted a site reconnaissance on August 26, 2019. An additional investigation including high-resolution photo-graphs and video collected using a small unmanned aircraft system (sUAS), was conducted October 24\u009625, 2019. Data were also collected to help assess the stability of a prolific rockfall area that has repeatedly damaged the nearby Hidden Canyon trail. The sUAS data collected were used to create a digital elevation model (DEM), structure from motion (Sf M) model, and an orthomosaic image of a large part of the western Cable Mountain, Weeping Rock, and Hidden Canyon areas. The estimated volume of the rock avalanche was calculated to be 435,712 cubic feet (12,338 m3). The rock mass was approximately 31,000 tons. The calculated volume and flow-like qualities of the event classify it as a very small rock avalanche. No specific triggering event could be identified for the rock avalanche event; however, it appears thermal cycling is a likely contributing factor. The recommended solution in this situation is (1) avoidance of the rockfall hazard, such as not building structures and limiting access in areas with frequent rockfall and/or (2) acceptance of the hazard and the risk associated with it, knowing that the consequences of this option could result in loss of life and damage to property.", "identifier": "OTDS.092020.4269.1", "modified": "2020-09-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "rockfall", "sfm", "Zion National Park", "Washington County", "Utah", "community-dataspace" ], "spatial": "-112.94,37.26,-112.93,37.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VT1Q8M", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2015 Parkway Drive Landslide, North Salt Lake, Utah", "description": "At about 6:00 a.m. the morning of August 5, 2014, a large landslide occurred above Parkway Drive in the City of North Salt Lake, Davis County. The landslide involved an engineered slope that had been part of an aggregate mining operation in the 1990s, but has since been reclaimed and partially developed into the Eaglepoint subdivision. Preliminary estimates suggest a landslide volume of 300,000 to 400,000 cubic yards, based on an assumed depth of between 30 and 50 feet. The pre-slide slope had a local relief (change in elevation) of about 200 feet and an average grade of approximately 45 percent (the ground rises 45 feet over a distance of 100 horizontal feet).", "identifier": "OTDS.082020.26912.1", "modified": "2020-08-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "Parkway Drive", "North Salt Lake", "community-dataspace" ], "spatial": "-111.9,40.83,-111.9,40.83", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R78CCP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bedrock cliffs in the San Gabriel and San Jacinto Mountains, California", "description": "Dataset includes (1) .las point clouds of steep, bare-bedrock cliffs derived from structure-from-motion photogrammetry. (2) Scaled orthophotos extracted approximately normal to a prominent cliff face within the structure-from-motion model. Individual point cloud extents are approximately 10 \u0096 300 m across. Structure-from-motion models were rendered in AgiSoft Photoscan. Structure-from-motion models where aligned and georeferenced to aerial lidar point clouds using iterative-closest-point alignment tool in CloudCompare. Datasets are not classified and include vegetation. Data collection occurred in summers (May-August) of 2016-2019.\n\nDatasets are complimentary to submitted manuscript to JGR earth surface:\n\nNeely, A.B., and DiBiase, R.A., in review. Drainage area, bedrock fracture spacing, and weathering controls on landscape-scale patterns in surface sediment grain size, Journal of Geophysical Research, Earth Surface, doi:10.1002/essoar.10502617.1\n\nSupplementary files in complimentary manuscript contain shapefile outlines of cliff regions where bedrock fracture spacing was measured and table including bedrock cliff name and measured bedrock fracture spacing. \n\nSee Neely et al., (2019) for more details on procedure used to align SfM dense cloud and lidar point clouds:\n\nAlexander B. Neely, Roman A. DiBiase, Lee B. Corbett, Paul R. Bierman, Marc W. Caffee,\nBedrock fracture density controls on hillslope erodibility in steep, rocky landscapes with patchy soil cover, southern California, USA, Earth and Planetary Science Letters, Volume 522, 2019, Pages 186-197, ISSN 0012-821X, https://doi.org/10.1016/j.epsl.2019.06.011.", "identifier": "OTDS.072020.26911.2", "modified": "2020-07-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "cliffs", "fracture", "bedrock", "hillslope", "community-dataspace" ], "spatial": "-117.64,33.82,-116.64,34.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96H4FKG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pine Grove Hills Fault Zone, Nevada 2018", "description": "A series of sagebrush covered east-draining alluvial fans are displaced by the Pine Grove Hills fault.", "identifier": "OTDS.072020.26911.1", "modified": "2020-07-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "fault", "pine grove hills", "nevada", "alluvial fan", "community-dataspace" ], "spatial": "-119.1,38.72,-119.09,38.74", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H1306R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "High Resolution Topography of West Helanshan Fault, Northern China 2018", "description": "This dataset comprises a 2-m-resolution digital elevation model (DEM) (WorldView3-DEM.tif) and 0.5-m-resolution orthophotograph (WorldView3-DOM.png) of the West Helanshan Fault (Northern China) which is a Holocene active right-lateral strike-slip fault located at the junction of the Tibetan Plateau, Alashan, and Ordos blocks. The dataset covers a 6 km wide swath along an approximately 50 km long section of the fault (the dataset extent can be found in West_Helanshan_Fault.kmz). The DEM was built from the WorldView-3 panchromatic stereo images acquired on 5 July 2018 based on the photogrammetry method, and the orthophotograph was created based on the generated DEM. Two local areas along the fault are heavily obscured by clouds in the WorldView-3 images. Thus, we used a small four-rotor Unmanned Aerial Vehicle (UAV), the Motoarsky MS670, to acquire images of the two areas on 27 September 2018. Based on the Structure-from-Motion (SfM) method, we finally obtained DEM with a spatial resolution of 0.1 m (UAV-DEM1.tif and UAV-DEM2.tif) and orthophotograph with a spatial resolution of 0.03 m (UAV-DOM1.png and UAV-DOM2.png) for the two local areas. More details of this dataset can be found in Bi, H., Zheng, W., Lei, Q., Zhang, P., Zeng, J., & Chen, G. (2020). Surface slip distribution along the West Helanshan Fault, Northern China and its implications for fault behavior. Journal of Geophysical Research: Solid Earth, doi: 10.1029/2020JB019983. (https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1029/2020JB019983).", "identifier": "OTDS.062020.32648.1", "modified": "2020-06-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "The West Helanshan Fault", "Northern China", "WorldView-3", "Unmanned Aerial Vehicle (UAV)", "Photogrammetry", "Structure-from-Motion (SfM)", "community-dataspace" ], "spatial": "105.64,38.42,105.78,38.87", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9NS0S1Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Waste Dump Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2019 reconnaissance of the Waste Dump landslide along State Route 167 (Trappers Loop Road) in Morgan County, Utah.", "identifier": "OTDS.122019.4326.7", "modified": "2019-12-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "Morgan County", "Utah", "landslide", "community-dataspace" ], "spatial": "-111.81,41.21,-111.8,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B56GV1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Quaternary Surface Ruptures along Panamint Valley Fault, CA, April-May 2018", "description": "The digital surface models, generated from sUAS-derived images and SfM methods, show fault scarps and offset channels at six sites along the oblique-slip and strike-slip segments of the Panamint Valley Fault. The fault cuts Late Quaternary alluvial deposits. These data were collected as part of a master\u0092s thesis. The study aims to reconstruct the displacement and rupture length of the most recent earthquake, and understand the kinematics of the geometrically complex Panamint Valley Fault.", "identifier": "OTDS.062020.32611.1", "modified": "2020-06-25", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Panamint Valley Fault", "Eastern California Shear Zone", "earthquake", "complex fault", "community-dataspace" ], "spatial": "-117.22,35.9,-117.18,36.01", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92Z13PS", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "The topography data of Kumysh Fault, eastern Tian Shan, China 2014", "description": "Worldview-2 is a high-resolution commercial satellite launched by DigitalGlobe in the United States on October 8, 2009. The Worldview-2 sensor provides panchromatic imagery with the resolution of 0.46 m. We use two pairs stereo imagery of western and eastern segment of Kumysh Fault to generate the point cloud, respectively. The western stereo imagery were acquired on December 10, 2014 and the eastern part were acquired on November 25, 2013. The users can download these point cloud data for free and to generate their own DEM with different resolution.", "identifier": "OTDS.062020.32645.1", "modified": "2020-06-23", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kumysh Fault", "Point cloud data", "community-dataspace" ], "spatial": "87.7,42.18,88.22,42.39", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97P8WJZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Warnimont Bluff, Wisconsin, February 2020", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.", "identifier": "OTDS.062020.32616.1", "modified": "2020-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "community-dataspace" ], "spatial": "-87.85,42.94,-87.84,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CC0XVH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the San Ramon Fault, Santiago, Chile with 2016 Pleiades imagery", "description": "5m resolution point cloud over the San Ramon Fault region to the east of Santiago in Chile. Created using tri-stereo Pleiades imagery taken in 2016.", "identifier": "OTDS.022021.32719.1", "modified": "2021-02-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "-70.57,-33.65,-70.49,-33.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CC0XWZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 ZigZag Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2019 reconnaissance of the ZigZag landslide near State Route 226 (Snow Basin Road) in Morgan County, Utah.", "identifier": "OTDS.122019.4326.8", "modified": "2019-12-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "Morgan County", "Utah", "landslide", "zigzag", "community-dataspace" ], "spatial": "-111.85,41.21,-111.85,41.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96D5R4Q", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Painted Canyon, Southern San Andreas Fault", "description": "The Painted Canyon site is located in the Mecca Hills adjacent to the Southern San Andreas Fault. The site records plate-boundary transpression in a set of folds and faults. We imaged a fold along a canyon wall in Painted Canyon. We collected this dataset to be part of an undergraduate or graduate-level structural geology remote field class exercise available here: https://opentopography.org/learn/painted_canyon. In this exercise, students measure and analyze the fold using the point cloud, CloudCompare (http://cloudcompare.org), and Stereonet (http://www.geo.cornell.edu/geology/faculty/RWA/programs/stereonet.html). The students put their measurements in terms of the kinematics of the San Andreas Fault.", "identifier": "OTDS.042020.32611.1", "modified": "2020-04-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Painted Canyon", "San Andreas Fault", "Structural Geology", "community-dataspace" ], "spatial": "-116.01,33.61,-116.0,33.61", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90G3H94", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of the fluxsite in Muntetschinig, South Tyrol (IT), September 2015", "description": "\"The study is situated at an elevation of around 1550 m a.s.l. on a southwest facing slope of the Venosta Valley in northern Italy. Average (1980\u00962010) annual temperature amounts to 6.5 \u00b0C, annual precipitation to 550 mm. The study site is lightly grazed by cattle and sheep in spring and fall. During summer, plant growth is limited by low soil water contents. Vegetation is hence dominated by drought and grazing adapted grasses (Festuca valesiaca agg.), herbs (Hieracium pilosella agg.) and shrubs (Juniperus communis agg.). Soils are shallow leptosols and characterised by high sand and silt contents.\" (Wohlfahrt et al. 2016).", "identifier": "OTDS.052020.32632.1", "modified": "2020-05-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Eddy Flux", "Pasture", "South Tyrol", "Autumn", "community-dataspace" ], "spatial": "10.58,46.68,10.59,46.69", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TQ5ZP2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA M6.4 Earthquake structure from motion data (off base)", "description": "Structure from Motion point cloud of the M 6.4 earthquake in Ridgecrest, California generation from DJI Phantom 4 drone imagery. For more information on this dataset see the paper:\nIan Pierce, Alana Williams, Richard D. Koehler, Colin Chupik; High\u2010Resolution Structure\u2010From\u2010Motion Models and Orthophotos of the Southern Sections of the 2019 Mw 7.1 and 6.4 Ridgecrest Earthquakes Surface Ruptures. Seismological Research Letters doi: https://doi.org/10.1785/0220190289", "identifier": "OTDS.042020.4326.1", "modified": "2020-04-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "SFM", "Ridgecrest", "earthquake", "CA", "drone", "community-dataspace" ], "spatial": "-117.56,35.63,-117.53,35.65", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KD1W2C", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "SfM data of the Kongur normal fault (Qimugan site), Pamir, China, Aug. 2018", "description": "This dataset covers the terraces at the outlet of the Qimugan river (E 74.592\u00b0, N 39.089\u00b0), located in the Muji basin in Pamir, northwestern China. These terraces are offset by vertical motion along the frontal Kongur normal fault dipping west. We collected 4676 images (5472 \u00d7 3648 pixels) covering a ~1.9 km2 of the research area using a consumer UAV DJI Phantom Professional V2.0. The Structure from Motion (SfM) point clouds was produced by using the commercial Photoscan Pro software (Photoscan). The SfM point cloud density was ~195 points/m2 which could yield a ~7.16 cm resolution DEM. In this project, the Surfer software was utilized to build the 0.2 m resolution DEM from the dense point cloud. This project was funded by the China National Science Foundation (Grant Numbers: 41802229 and 41772221). The primary motivation for the acquisition of the data set was a study of young fluvial terrace riser degradation.\nBefore taking aerial photographs, 13 ground control points (GCPs) were distributed throughout the study area for georeferencing purposes. Then, 11 GCPs were implemented in the processing, removing the other two GCPs (marker 4 and 6) with big errors). The survey of the markers was completed using a Trimble Geo 7X GNSS system that involves two units: fixed reference station and roving receiver. Each target center was recorded at least 15 times by the roving receiver with a 5 cm receiving accuracy. Then, precise positions of these markers were obtained by GPS post-processing software of Trimble Company. All points were acquired in WGS84/ UTM zone 43N.", "identifier": "OTDS.022020.32643.1", "modified": "2020-02-28", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Structure from Motion (SfM)", "fluvial terrace riser", "Kongur Normal fault", "Pamir", "community-dataspace" ], "spatial": "74.58,39.08,74.6,39.1", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90K26QF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Ridgecrest, CA M7.1 Earthquake structure from motion data (off base)", "description": "Structure from Motion point cloud of the M 7.1 earthquake in Ridgecrest, California generation from DJI Phantom 4 drone imagery. For more details on this dataset refer to the paper: \nIan Pierce, Alana Williams, Richard D. Koehler, Colin Chupik; High\u2010Resolution Structure\u2010From\u2010Motion Models and Orthophotos of the Southern Sections of the 2019 Mw 7.1 and 6.4 Ridgecrest Earthquakes Surface Ruptures. Seismological Research Letters doi: https://doi.org/10.1785/0220190289", "identifier": "OTDS.022020.4326.1", "modified": "2020-03-11", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "SfM", "Ridgecrest", "CA", "earthquake", "drone", "imagery", "community-dataspace" ], "spatial": "-117.39,35.57,-117.37,35.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9930RBB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Ozaukee South Beach Bluff, Wisconsin, July 2019", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\n\nThis dataset is part of a series of repeat surveys documenting temporal changes to a ~1000 m long extent of unconsolidated coastal bluffs on Lake Michigan.", "identifier": "OTDS.022020.32616.5", "modified": "2020-02-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "Ozaukee South Beach", "community-dataspace" ], "spatial": "-87.88,43.37,-87.87,43.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93J3B4F", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Warnimont Bluff, Wisconsin, December 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\n\nThis dataset is part of a series of repeat surveys documenting temporal changes to a ~100 m long extent of unconsolidated coastal bluffs on Lake Michigan.", "identifier": "OTDS.022020.32616.3", "modified": "2020-02-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "community-dataspace" ], "spatial": "-87.85,42.94,-87.84,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C24TK3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Warnimont Bluff, Wisconsin, June 2019", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\n\nThis dataset is part of a series of repeat surveys documenting temporal changes to a ~100 m long extent of unconsolidated coastal bluffs on Lake Michigan.", "identifier": "OTDS.022020.32616.4", "modified": "2020-02-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "community-dataspace" ], "spatial": "-87.85,42.94,-87.84,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97942VR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2019 Little Cottonwood Canyon, Tanners Gulch Debris Flow Recon, Utah", "description": "Structure from Motion data from a 2019 reconnaissance of the Tanners Gulch debris flow in Little Cottonwood Canyon near State Route 210 in Salt Lake County, Utah.", "identifier": "OTDS.122019.4326.6", "modified": "2019-12-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "debris flow", "sfm", "utah", "Salt Lake", "Little Cottonwood Canyon", "Tanner Gulch", "community-dataspace" ], "spatial": "-111.7,40.57,-111.7,40.58", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9FX77KF", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Rockwalls, Lauterbrunnen Valley, Bernese Oberland, Switzerland, April 2012", "description": "This dataset contains 3D point clouds (raw data) from TLS measurement of valley walls and talus deposits beneath them in the Lauterbrunnen Valley, Switzerland. The point clouds of valley walls were collected as part of an ongoing monitoring study of the valley walls since 2012. The data files included here are those that have been used for talus volume calculations which were used for calculating the long-term (~11 ka) wall retreat rate (Mohadjer et al., in review ).", "identifier": "OTDS.022020.21781.1", "modified": "2020-02-04", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lauterbrunnen", "Switzerland", "LiDAR", "talus", "rockfalls", "rockwall", "community-dataspace" ], "spatial": "-0.17,44.89,-0.16,44.89", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GQ6VX7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Warnimont Bluff, Wisconsin, November 2019", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\n\nThis dataset is part of a series of repeat surveys documenting temporal changes to a ~100 m long extent of unconsolidated coastal bluffs on Lake Michigan.", "identifier": "OTDS.022020.32616.2", "modified": "2020-02-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "community-dataspace" ], "spatial": "-87.85,42.94,-87.84,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MG7MNZ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Warnimont Bluff, Wisconsin, December 2019", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\n\nThis dataset is part of a series of repeat surveys documenting temporal changes to a ~100 m long extent of unconsolidated coastal bluffs on Lake Michigan.", "identifier": "OTDS.022020.32616.1", "modified": "2020-02-03", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "bluff", "coastal", "erosion", "landslide", "Wisconsin", "sediment", "SfM", "community-dataspace" ], "spatial": "-87.85,42.94,-87.84,42.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R78CB7", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Geomorpho90m - Global High-Resolution Geomorphometric Layers", "description": "Topographical relief comprises the vertical and horizontal variations of the Earth\u0092s terrain and drives processes in geomorphology, biogeography, climatology, hydrology and ecology. Its characterisation and assessment, through geomorphometry and feature extraction, is fundamental to numerous environmental modelling and simulation analyses. We, therefore, developed the Geomorpho90m global dataset comprising of different geomorphometric features derived from the MERIT-Digital Elevation Model (DEM) - the best global, high-resolution DEM available. The fully-standardised 26 geomorphometric variables consist of layers that describe the (i) rate of change across the elevation gradient, using first and second derivatives, (ii) ruggedness, and (iii) geomorphological forms. The Geomorpho90m variables are available at 3 (~90\u2009m) and 7.5 arc-second (~250\u2009m) resolutions under the WGS84 geodetic datum, and 100\u2009m spatial resolution under the Equi7 projection. They are useful for modelling applications in fields such as geomorphology, geology, hydrology, ecology and biogeography.", "identifier": "OTDS.012020.4326.1", "modified": "2020-01-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "global", "topography", "MERIT", "SRTM", "ALOS", "DEM", "terrain", "shuttle", "radar", "community-dataspace" ], "spatial": "-180.0,-55.0,180.0,85.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G91R6NPX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "East Fork White River Chute Cutoff with UAS (ESPL), Indiana, 2018", "description": "Meandering river sinuosity increases until the channel erodes into itself (neck cutoff) or forms a new channel over the floodplain (chute cutoff) and sinuosity is reduced. Unlike neck cutoff, which can be measured or modeled without considering overbank processes, chute cutoff must be at least partially controlled by channel-forming processes on the floodplain. Even though chute cutoff controls meandering river form, the processes that cause chute cutoff are not well understood. This study analyzes the morphology of two incipient chute cutoffs along the East Fork White River, Indiana, USA, using high temporal and spatial resolution UAS-based lidar and aerial photography. Lidar and aerial imagery obtained between 1998 and 2019 reveals that large scour holes formed in the center of both chutes sometime after chute channel initiation. A larger analysis within the study watershed reveals that scour holes within incipient chutes can be stable or unstable and tend to stabilize when the chute is colonized by native vegetation and forest. When the scour holes form in farmed floodplain, they enlarge rapidly after initial formation and contribute to complete chute cutoff. In addition, this study shows that the formation of scour holes can occur in response to common, relatively low-magnitude floods and that the amount of incipient chute erosion does not depend on peak flood magnitude. The role of scour holes in enlarging of chute channels could be an important mechanism for chute channel evolution in meandering rivers. This study also confirms that understanding the relationships among flow, land cover, and cutoff morphology is substantially improved with on-demand remote sensing techniques like integrated UAS and lidar.", "identifier": "OTDS.012020.26916.1", "modified": "2020-01-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "river", "cutoff", "erosion", "Indiana", "East Fork", "White River", "community-dataspace" ], "spatial": "-86.22,38.77,-86.2,38.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95H7DDN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, Chet Korumdy ridge ruptures, Kyrgyzstan", "description": "Target: Secondary ruptures and extensional features formed in the 1992 M.3 Suusamyr earthquake. \nPurpose: Identifying secondary environmental earthquake effects", "identifier": "OTDS.122019.4326.1", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; 1992; Earthquake; Secondary Rupture; Kyrgyzstan", "community-dataspace" ], "spatial": "73.56,42.2,73.58,42.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RF5S6B", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, Chet-Korumdy ridge trench site, Kyrgyzstan", "description": "Target: Fault scarp of a NE-SW striking, SE-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan\nPurpose: Identifying paleo-earthquake ruptures, paleoseismological trenching", "identifier": "OTDS.122019.32643.1", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; 1992; Earthquake; Fault Scarp; Kyrgyzstan", "community-dataspace" ], "spatial": "73.55,42.21,73.56,42.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93N21JR", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, Cholgondysai fault segment, Kyrgyzstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan\nPurpose: Measuring the offset from the 1992 M7.3 Suusamyr Earthquake", "identifier": "OTDS.122019.4326.2", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; 1992; Earthquake; Fault Scarp; Kyrgyzstan", "community-dataspace" ], "spatial": "73.26,42.16,73.27,42.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MP51FJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, Dzhalpaksu River (east), Kyrgyzstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan\nPurpose: Measuring the offset from the 1992 M7.3 Suusamyr Earthquake", "identifier": "OTDS.122019.32643.2", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; 1992; Earthquake; Fault Scarp; Kyrgyzstan", "community-dataspace" ], "spatial": "73.36,42.16,73.36,42.16", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9000072", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, Dzhalpaksu River (west), Kyrgyzstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan\nPurpose: Measuring the offset from the 1992 M7.3 Suusamyr Earthquake", "identifier": "OTDS.122019.4326.3", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Kyrgyzstan", "Suusamyr Basin", "Dzhalpaksu River", "fault scarp", "earthquake", "community-dataspace" ], "spatial": "73.34,42.16,73.35,42.17", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GX48QT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Suusamyr Basin, eastern 1992 surface ruptures, Kyrgyzstan", "description": "Target: Fault scarp of an E-W striking, SE-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan\nPurpose: Measuring the offset from the 1992 M7.3 Suusamyr Earthquake", "identifier": "OTDS.122019.32643.3", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; Earthquake; 1992; Fault Scarp; Kyrgyzstan", "community-dataspace" ], "spatial": "73.66,42.2,73.67,42.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V69GRT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Fault scarp near Ili Basin, Shonzhy, Kazakhstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault near Shonzhy in the Ili Basin in Kazakhstan\nPurpose: Measuring the height of the cumulative fault scarp", "identifier": "OTDS.122019.4326.4", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Shonzhy; Fault Scarp", "Tectonics", "Ili Basin", "Shonzhy", "Kazakhstan", "community-dataspace" ], "spatial": "79.41,43.54,79.43,43.55", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9C53J0T", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Thrust fault NE of Suusamyr, Suusamyr Basin, Kyrgyzstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault in the Suusamyr Basin in Kyrgyzstan \nPurpose: Identifying paleo-ruptures and measuring slip rates", "identifier": "OTDS.122019.4326.5", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr", "Fault Scarp", "tectonics", "Suusamyr Basin", "Kyrgyzstan", "community-dataspace" ], "spatial": "73.99,42.31,74.02,42.31", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97D2S83", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Fault scarp near Turabulak, Suusamyr Basin, Kyrgyzstan", "description": "Target: Fault scarp of a E-W striking, S-dipping reverse fault in the Suusamyr Basin in\nKyrgyzstan\nPurpose: Identifying paleo-earthquake ruptures, paleoseismological trenching", "identifier": "OTDS.122019.32643.4", "modified": "2019-12-20", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Suusamyr; Kyrgyzstan; Fault Scarp", "community-dataspace" ], "spatial": "73.47,42.2,73.48,42.2", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9QF8R1H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "IT-Ren, Fluxnet site", "description": "Renon \u0096 Selva Verde (IT-Ren) is a long-term measurement site for exchange of c and the atmosphere. The measurement station is located in the municipality of Renon, at a distance of 12.2 km North-Northeast from the town of Bolzano. Eddy covariance measurements started in the year 1997.", "identifier": "OTDS.042020.32632.1", "modified": "2020-04-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Fluxnet", "Bolzano", "Italy", "carbon dioxide", "water vapour", "subalpine coniferous forest", "community-dataspace" ], "spatial": "11.43,46.59,11.43,46.59", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q52MSP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Photogrammetric point cloud of La Rouviere fault, France", "description": "Point cloud extracted from 2007 stereo aerial imagery (IGN) covers the area of La Rouviere fault, near Montelimar, SE France. La Rouviere fault, an old tectonic feature with an approximate strike of NE-SW, was re-activated and ruptured during the November 11 2019 Mw 4.9 shallow earthquake. First results from SAR Interferometry and field surveys confirm surface ruptures that follow La Rouviere fault trace as mapped in BRGM geological maps. Processed with open-source MicMac photogrammetry software.", "identifier": "OTDS.112019.32631.1", "modified": "2019-11-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "earthquake", "fault", "france", "rouviere", "photogrammetry", "community-dataspace" ], "spatial": "4.61,44.48,4.71,44.56", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BC3WQ4", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Ozaukee South Beach Bluff, Wisconsin, May 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and\nallowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years.\nSediment budget calculations have shown that bluff erosion is the dominant source of sand and\ngravel-sized particles that are mobilized into beaches and the nearshore system. Researchers\nhave found that the leading cause of bluff erosion is shallow to intermediate depth translational\nlandslides. Therefore, estimating lake sediment budgets depends on an understanding of the\nmechanisms that lead to landslide failure. This study will provide a comprehensive analysis of\nbluff stability for bluffs affected by landslide failure coupled with an analysis of bluff\ncomposition to determine the composition of sediment contributions of coastal bluffs to the\nsoutheast Lake Michigan sediment budget.", "identifier": "OTDS.112019.32616.1", "modified": "2019-11-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake Michigan", "Bluff", "Erosion Survey", "Ozaukee South Beach Bluff", "Wisconsin", "community-dataspace" ], "spatial": "-87.88,43.37,-87.87,43.38", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97M0634", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lava Flow Time Series Experiment, Syracuse, NY", "description": "This dataset comprises time-series raster data of an active experimental lava flow. At each time step (approximately 7 second intervals \u0096 see below), topography was collected with SfM, surface temperature was collected with FLIR infrared imagery, and surface velocity was calculated using PIVLab (video-based velocimetry) and georeferenced to coincide with the other rasters. The data here were used in Farrell (2019) [JGR:SE In Revision as of 11/12/19].", "identifier": "OTDS.112019.32618.1", "modified": "2019-11-13", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lava flow", "syracuse lava", "basalt", "time series", "PIV lab", "community-dataspace" ], "spatial": "-76.13,43.03,-76.13,43.03", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H13059", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Kewaunee (Site1) Bluff, Wisconsin, July 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and\nallowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years.\nSediment budget calculations have shown that bluff erosion is the dominant source of sand and\ngravel-sized particles that are mobilized into beaches and the nearshore system. Researchers\nhave found that the leading cause of bluff erosion is shallow to intermediate depth translational\nlandslides. Therefore, estimating lake sediment budgets depends on an understanding of the\nmechanisms that lead to landslide failure. This study will provide a comprehensive analysis of\nbluff stability for bluffs affected by landslide failure coupled with an analysis of bluff\ncomposition to determine the composition of sediment contributions of coastal bluffs to the\nsoutheast Lake Michigan sediment budget.", "identifier": "OTDS.102019.32616.1", "modified": "2019-10-30", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake Michigan", "Bluff", "Erosion Survey", "Kewaunee", "community-dataspace" ], "spatial": "-87.51,44.41,-87.51,44.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96Q1VCP", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Garopaba Dune Field, Santa Catarina State, Brazil. TLS point cloud", "description": "Digital Surface Model (DSM) of the Garopaba Dune Field (Siri\u00fa dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with a SfM-MVS DEM (http://dx.doi.org/10.5069/G9DV1H19) and with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of S\u00e3o Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 \"Application of high-resolution digital elevation models in geology and geomorphology\" (PI: Carlos H. Grohmann, IEE-USP).", "identifier": "OTDS.102019.32722.1", "modified": "2019-10-09", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sand dune", "Brazil", "TLS", "Sedimentology", "Garopaba", "Santa Catarina State", "community-dataspace" ], "spatial": "-48.64,-28.01,-48.63,-28.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CN7228", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2018 ZigZag Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2018 reconnaissance of the ZigZag landslide near State Route 226 (Snow Basin Road) in Morgan County, Utah.", "identifier": "OTDS.092019.4326.2", "modified": "2019-09-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "ZigZag Landslide", "Morgan County", "Utah", "community-dataspace" ], "spatial": "-111.85,41.21,-111.85,41.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9J964HN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2018 Waste Dump Landslide Reconnaissance, Morgan County, Utah", "description": "Structure from Motion data from a 2018 reconnaissance of the Waste Dump landslide along State Route 167 (Trappers Loop Road) in Morgan County, Utah.", "identifier": "OTDS.092019.4326.1", "modified": "2019-09-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "sfm", "Waste Dump", "Morgan County", "Utah", "community-dataspace" ], "spatial": "-111.81,41.21,-111.81,41.21", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P26W70", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Sheboygan Bluff, Wisconsin, Sept 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget. This dataset is part of a series of repeat surveys documenting temporal changes to a 0.5 km extent of unconsolidated coastal bluff on Lake Michigan.", "identifier": "OTDS.082019.32616.1", "modified": "2019-08-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake Michigan", "Bluff", "Erosion", "Repeat Survey", "Wisconsin", "Sheboygan", "community-dataspace" ], "spatial": "-87.73,43.82,-87.73,43.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JH3JB9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Sheboygan Bluff, Wisconsin, May 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget. This dataset is part of a series of repeat surveys documenting temporal changes to a 0.5 km extent of unconsolidated coastal bluff on Lake Michigan.", "identifier": "OTDS.082019.32616.2", "modified": "2019-08-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake Michigan", "Bluff", "Erosion", "Repeat Survey", "Wisconsin", "Sheboygan", "community-dataspace" ], "spatial": "-87.73,43.82,-87.73,43.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DR2SMK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "LUSI Mud Volcano: East Java Indonesia, July 1, 2018", "description": "Point Cloud and Temperature Orthophoto of LUSI Mud Volcano\nSidoarjo, East Java, Indonesia\nCloud and Orthophoto Created using Agisoft Metashape Pro (v1.5.1)\nTemperature Map Created by processing in Matlab & ArcGIS\nImages collected by sUAS\nsUAS: DJI M210\nCamera: DJI Zenmuse XT\nImages: 445 photographs (available upon request)", "identifier": "OTDS.082019.32749.1", "modified": "2019-08-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "LUSI", "Mud Volcano", "Indonesia", "Structure from Motion", "sUAS", "Thermal Infrared", "East Java", "community-dataspace" ], "spatial": "112.7,-7.53,112.72,-7.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9Q81B6D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Stromboli Volcano (Vent area only): Italy, September 12, 2018", "description": "Point Cloud and DEM of Stromboli Volcano\nCoverage includes summit and all active vents\nCreated using Agisoft Metashape Pro (v1.5.1)\nImages collected by sUAS\nsUAS: DJI M210\nCamera: DJI Zenmuse X4S\nImages: 379 photographs (available upon request)", "identifier": "OTDS.082019.32633.2", "modified": "2019-08-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "sUAS", "Volcanic Vent", "Italy", "community-dataspace" ], "spatial": "15.2,38.79,15.22,38.8", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R49NXH", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Stromboli Volcano (Vents & Sciara del Fuoco): Italy, September 10, 2018", "description": "Point Cloud and DEM of Stromboli Volcano\nCoverage includes the summit, all vents, and the Sciara del Fuoco including the 2002 lava flow\nCreated using Agisoft Metashape Pro (v1.5.1)\nImages collected by sUAS\nsUAS: DJI M210\nCamera: DJI Zenmuse X4S\nImages: 458 photographs (available upon request)", "identifier": "OTDS.082019.32633.1", "modified": "2019-08-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Stromboli", "Volcano", "Structure from Motion", "sUAS", "Lava Flow", "Italy", "Sciara del Fuoco", "community-dataspace" ], "spatial": "15.19,38.79,15.23,38.81", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VX0DNG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lagoinha Landslide, S\u00e3o Paulo State, Brazil. TLS point cloud", "description": "Digital Surface Model (DSM) of a small hillslope with a landslide, S\u00e3o Paulo State, southeastern Brazil. Data were collected by Tomasini Geo-Technologies company, along with a team from University of S\u00e3o Paulo (USP) composed of: Grohmann, C.H., Gomes, E.B., Garcia, G.P.B., Viana, C.D., within the scope of research grant FAPESP #2016/06628-0 \"Application of high-resolution digital elevation models in geology and geomorphology\" (PI: Carlos H. Grohmann, IEE-USP).", "identifier": "OTDS.082019.32723.2", "modified": "2019-08-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "Cunha", "S\u00e3o Paulo State", "Brazil", "community-dataspace" ], "spatial": "-45.01,-23.05,-45.0,-23.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90P0X57", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Lagoinha Landslide, S\u00e3o Paulo State, Brazil. SfM-MVS point cloud", "description": "Digital Surface Model (DSM) of a small hillslope with a landslide, S\u00e3o Paulo State, southeastern Brazil. Data were collected by a team from University of S\u00e3o Paulo (USP) composed of: Grohmann, C.H., Gomes, E.B., Garcia, G.P.B., Viana, C.D., within the scope of research grant FAPESP #2016/06628-0 \"Application of high-resolution digital elevation models in geology and geomorphology\" (PI: Carlos H. Grohmann, IEE-USP).", "identifier": "OTDS.082019.32723.1", "modified": "2019-08-02", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "landslide", "Cunha", "S\u00e3o Paulo State", "Brazil", "SfM-MVS", "community-dataspace" ], "spatial": "-45.01,-23.04,-45.01,-23.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94F1NWJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Garopaba Dune Field, Santa Catarina State, Brazil. SfM-MVS point cloud", "description": "Digital Surface Model (DSM) of the Garopaba Dune Field (Siri\u00fa dunes), Santa Catarina State, southern Brazil. The objective of the survey is to generate a high-resolution DSM of the dunes and compare it with Airborne LiDAR data collected in 2010 (https://doi.org/10.5069/G9DN430Z, dataset OT.032013.32722.1), to evaluate dune migration and sand volume change. Data were collected by a team from University of S\u00e3o Paulo (USP) composed of: Grohmann, C.H., Garcia, G.P.B., Affonso, A.A., Albuquerque, R.W., within the scope of research grant FAPESP #2016/06628-0 \"Application of high-resolution digital elevation models in geology and geomorphology\" (PI: Carlos H. Grohmann, IEE-USP).", "identifier": "OTDS.072019.32722.1", "modified": "2019-07-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sand dune", "Brazil", "SfM", "Sedimentology", "Garopaba", "Santa Catarina State", "Brazil", "community-dataspace" ], "spatial": "-48.64,-28.01,-48.63,-28.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DV1H19", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Yasur Volcano Crater DEM, Republic of Vanuatu, Oct 2016", "description": "10cm DEM of the crater of Yasur Volcano, Republic of Vanuatu. Imagery collected with a DJI Phantom 3 in October 2016. Dataset objectives include maping the volcanic ballistic distribution from Yasur Volcano, modeling the volcanic plume, and accounting for topographic effects on the radiation pattern of infrasound.", "identifier": "OTDS.072019.4326.1", "modified": "2019-07-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Yasur", "Volcano", "Vanuatu", "Crater", "community-dataspace" ], "spatial": "169.44,-19.53,169.45,-19.52", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90V89XD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Survey of Sheboygan Bluff, Wisconsin, May 2019", "description": "Project Name: A Comprehensive Analyses of Sediment Delivery to Lake Michigan from Coastal Bluffs in South Eastern Wisconsin- Sheboygan WI (05/14/2019)\nHigh lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that b luff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.", "identifier": "OTDS.092019.32616.1", "modified": "2019-09-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Bluff erosion", "SfM", "Sheboygan", "Wisconsin", "Lake Michigan", "Sediment", "community-dataspace" ], "spatial": "-87.73,43.82,-87.73,43.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9DJ5CSX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bilila-Mtakataka Fault - Kasinge Segment", "description": "Point cloud data derived from Pleiades imagery of the Bilila-Mtakataka Fault, Malawi. The bi-stereo Pleiades imagery (50 cm pixel-1) was processed using the Leica Photogrammetry Toolbox within ERDAS Imagine. Point Cloud data was prepared for Open Topopgraphy using PDAL. Processing was carried out by Michael Hodge (University of Cardiff, now at Office for National Statistics, UK) and Austin Elliot (University of Oxford), supported by Juliet Biggs (University of Bristol) and Ake Fagereng (University of Cardiff). Luke Wedmore (University of Bristol) prepared the files for upload.\n\n\n\nThe Imagery was purchased using a small grant from COMET (Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics). Michael Hodge was supported by the NERC GW4+ Doctoral Training Partnership (NE/L002434/1) and COMET. Austin Elliott was supported by COMET and NERC Large Grant Looking into the Continents from Space(LICS; NE/K011006/1). Luke Wedmore was supported by EPSRC Global Challenges PREPARE project (EP/P028233/1). Juliet Biggs was supported by LICS (NE/K010913/1) and PREPARE(EP/P028233/1). Ake Fagereng was supported by PREPARE (EP/P028233/1).\n\n\nThis data has contributed to the following publications:\n\n\n\tHodge, M., Biggs, J., Fagereng, A., Elliot, A., Mdala, H., Mphepo, F. (2019). A semi-automated algorithm to quantify scarp morphology (SPARTA): application to normal faults in southern Malawi. Solid Earth, 10, 27-57. doi.org/10/5194/se-10-27-2019\n\n\n\tHodge, M., Biggs, J., Fagereng, A., Mdala, H., Wedmore, L., Williams, J. Evidence from high resolution topography for multiple earthquakes on high slip-to-length fault scarps: the Bilila-Mtakataka fault, Malawi. In Preparation for Tectonics.", "identifier": "OTDS.062019.32736.1", "modified": "2019-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "34.62,-14.73,34.81,-14.53", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G96H4FJ1", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mt Vettore Fault, Forca di Presta Site, Hope Trench", "description": "Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). \n\nA Leica Scanstation C10 laser scanner was used to capture the data. 7 separate scan positions were used, with four registration points included in the scans. Scans were registered in the Leica Geosystems HDS Cyclone software.\n\nData was funded by NERC Urgency grant NE/P018858/1.\n\nGeoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.", "identifier": "OTDS.062019.32633.1", "modified": "2019-08-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Paleoseismology", "Terrestrial Laser Scanner", "Earthquake", "Italy", "community-dataspace" ], "spatial": "13.26,42.78,13.26,42.78", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9KS6PQ3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mt Vettore Fault, San Lorenzo Site, Matthew Trench", "description": "Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). \n\nA Leica Scanstation C10 laser scanner was used to capture the data. 1 scan positions were used, with 3 registration points included in the scans. Photographs captured by the scanner were used to colour the scan. Scans were processed in the Leica Geosystems HDS Cyclone software.\n\nData was funded by NERC Urgency grant NE/P018858/1.\n\nGeoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.", "identifier": "OTDS.062019.32633.2", "modified": "2019-08-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "13.21,42.85,13.22,42.86", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9G15Z03", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mt Vettore Fault, San Lorenzo Site, Curly Trench", "description": "Terrestrial Laser Scan of a palaeoseismic trench opened by the INGV on the fault rupture of the 2016 Norcia Earthquake. Details of the palaeoseismological investigation can be found in Cinti et al (currently in review). \n\nA Leica Scanstation C10 laser scanner was used to capture the data. 5 separate scan positions were used, with four registration points included in the scans. Photographs catptured by the scanner were used to colour the scans. Scans were registered in the Leica Geosystems HDS Cyclone software.\n\nData was funded by NERC Urgency grant NE/P018858/1.\n\nGeoferencing was provided by handheld GPS and has an accuracy of ~3 m (according to the GPS), although internal registration of scans is consistent with an accuracy of <1cm.", "identifier": "OTDS.062019.32633.3", "modified": "2019-08-01", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "community-dataspace" ], "spatial": "13.21,42.85,13.21,42.85", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9B8568R", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Bilila-Mtakataka Fault - Mua Segment", "description": "Point cloud data derived from Pleiades imagery of the Mua segment of the Bilila-Mtakataka Fault, Malawi. The bi-stereo Pleiades imagery (50 cm pixel-1) was processed using the Leica Photogrammetry Toolbox within ERDAS Imagine. Point Cloud data was prepared for Open Topopgraphy using PDAL. Processing was carried out by Michael Hodge (Cardiff University, now at Office for National Statistics, UK) and Austin Elliot (University of Oxford), supported by Juliet Biggs (University of Bristol) and Ake Fagereng (University of Cardiff). Luke Wedmore (University of Bristol) prepared the files for upload.\n\n\nThe Imagery was purchased using a small grant from COMET (Centre for Observation and Modelling of Earthquakes, Volcanoes and Tectonics). Michael Hodge was supported by the NERC GW4+ Doctoral Training Partnership (NE/L002434/1) and COMET. Austin Elliott was supported by COMET and NERC Large Grant Looking into the Continents from Space(LICS; NE/K011006/1). Luke Wedmore was supported by EPSRC Global Challenges PREPARE project (EP/P028233/1). Juliet Biggs was supported by LICS (NE/K010913/1) and PREPARE(EP/P028233/1). Ake Fagereng was supported by PREPARE (EP/P028233/1).\n\n\nThis data has contributed to the following publications:\n\n\n\tHodge, M., Biggs, J., Fagereng, A., Elliot, A., Mdala, H., Mphepo, F. (2019). A semi-automated algorithm to quantify scarp morphology (SPARTA): application to normal faults in southern Malawi. Solid Earth, 10, 27-57. doi.org/10/5194/se-10-27-2019\n\n\n\tHodge, M., Biggs, J., Fagereng, A., Mdala, H., Wedmore, L., Williams, J. Evidence from high resolution topography for multiple earthquakes on high slip-to-length fault scarps: the Bilila-Mtakataka fault, Malawi. In Preparation for Tectonics.", "identifier": "OTDS.062019.32736.2", "modified": "2019-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Normal Fault", "community-dataspace" ], "spatial": "34.43,-14.3,34.55,-14.08", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G92R3PSV", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sheboygan WI Bluff Survey: December 2018", "description": "High lake levels are reducing beach area along the Lake Michigan coastline and allowing wave action to erode the bases of coastal bluffs at the highest rate of the past 30 years. Sediment budget calculations have shown that bluff erosion is the dominant source of sand and gravel-sized particles that are mobilized into beaches and the nearshore system. Researchers have found that the leading cause of bluff erosion is shallow to intermediate depth translational landslides. Therefore, estimating lake sediment budgets depends on an understanding of the mechanisms that lead to landslide failure. This study will provide a comprehensive analysis of bluff stability for bluffs affected by landslide failure coupled with an analysis of bluff composition to determine the composition of sediment contributions of coastal bluffs to the southeast Lake Michigan sediment budget.\nThis dataset is part of a series of repeat surveys documenting temporal changes to a 0.5km extent of unconsolidated coastal bluff on Lake Michigan.", "identifier": "OTDS.052019.32616.1", "modified": "2019-05-17", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Lake Michigan", "Bluff", "Erosion Survey", "community-dataspace" ], "spatial": "-87.73,43.82,-87.73,43.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9RN360X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sinabung Volcano Model 4: Indonesia, September 2014", "description": "SfM photogrammetry survey from September 2014. Model 4 from Carr et al., 2018a (see below).\n\nDataset contains ground-based photos from a Nikon DSLR taken on Sept 22 and the resulting SfM point cloud and DEM.\n\nData was used in two publications. For additional details, see:\nCarr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 (\"The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry\")\n\nCarr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 (\"Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)\")", "identifier": "OTDS.042019.32647.4", "modified": "2019-04-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sinabung Volcano", "Indonesia", "Structure-from-Motion", "ground-based photographs", "lava flow", "lava dome", "community-dataspace" ], "spatial": "98.39,3.15,98.42,3.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G97S7KWC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sinabung Volcano Model 3: Indonesia, September 2014", "description": "SfM photogrammetry survey from September 2014. Model 3 from Carr et al., 2018a (see below).\n\nDataset contains ground-based photos from an iPhone5 taken on Sept 22 and the resulting SfM point cloud and DEM.\n\nData was used in two publications. For additional details, see:\nCarr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 (\"The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry\")\n\nCarr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 (\"Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)\")", "identifier": "OTDS.042019.32647.3", "modified": "2019-04-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sinabung Volcano", "Indonesia", "Structure-from-Motion", "ground-based photographs", "lava flow", "lava dome", "community-dataspace" ], "spatial": "98.39,3.15,98.42,3.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CJ8BM3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sinabung Volcano Model 2: Indonesia, September 2014", "description": "SfM photogrammetry survey from September 2014. Model 2 from Carr et al., 2018a (see below).\n\nDataset contains ground-based photos from a Nikon DSLR taken on Sept 17 & 18 and the resulting SfM point cloud and DEM.\n\nData was used in two publications. For additional details, see:\nCarr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 (\"The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry\")\n\nCarr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 (\"Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)\")", "identifier": "OTDS.042019.32647.2", "modified": "2019-04-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sinabung Volcano", "Indonesia", "Structure-from-Motion", "ground-based photographs", "lava flow", "lava dome", "community-dataspace" ], "spatial": "98.39,3.15,98.42,3.17", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9H993BT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Sinabung Volcano Model 1: Indonesia, September 2014", "description": "SfM photogrammetry survey from September 2014. Model 1 from Carr et al., 2018a (see below).\n\nDataset contains ground-based photos from an iPhone5 taken on Sept 17 & 18 and the resulting SfM point cloud and DEM.\n\nData was used in two publications. For additional details, see:\nCarr et al., 2018a: https://doi.org/10.1016/j.jvolgeores.2018.02.004 (\"The emplacement of the active lava flow at Sinabung Volcano, Sumatra Indonesia, documented by structure-from-motion photogrammetry\")\n\nCarr et al., 2018b: https://doi.org/10.1016/j.jvolgeores.2018.03.002 (\"Mechanisms of lava flow emplacement during an effusive eruption of Sinabung Volcano (Sumatra, Indonesia)\")", "identifier": "OTDS.042019.32647.1", "modified": "2019-04-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sinabung Volcano", "Indonesia", "Structure-from-Motion", "ground-based photographs", "lava flow", "lava dome", "community-dataspace" ], "spatial": "98.39,3.15,98.42,3.18", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9N29V25", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty range front fault, Koram site, Kazakhstan", "description": "This dataset was recorded in 2016 with a drone and an attached compact camera. We surveyed parts of the fault scarp of the E-W striking, S-dipping, reverse Almaty range front fault, Kazakhstan, for the purpose of measuring the offset of river terraces for slip-rate determination.", "identifier": "OTDS.032019.4326.4", "modified": "2019-03-08", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty range front", "Kazakhstan", "slip rate", "active tectonics", "community-dataspace" ], "spatial": "78.13,43.49,78.15,43.49", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9SX6BB8", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty range front fault, Akterek site 2, Kazakhstan", "description": "We used a compact camera mounted on a drone to survey the fault scarp of the E-W striking, S-dipping, reverse Almaty range front fault, Kazakhstan.\nAt this site we measured the offset of river terraces and alluvial fans to evaluate the Lat Quaternary activity of the fault. The overall aim of the project was to better understand the active tectonics of the Zailisky Range and to reveal the traces of active faulting in the landscape.", "identifier": "OTDS.032019.4326.1", "modified": "2019-03-05", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty range front", "Kazakhstan", "slip rate", "active tectonics", "community-dataspace" ], "spatial": "75.61,43.22,75.62,43.23", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G93B5X7H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty range front fault, Akterek site 1, Kazakhstan", "description": "The data were collected with a compact camera mounted on a drone. We surveyed parts of fault scarp in order to measure the offset of river terraces and alluvial fans. Overall aim of the project was to understand the active tectonics of the Almaty range front.", "identifier": "OTDS.032019.4326.2", "modified": "2019-03-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty range front", "Kazakhstan", "slip rate", "active tectonics", "community-dataspace" ], "spatial": "75.57,43.21,75.58,43.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZK5DSN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Almaty range front fault, Rahat site, Kazakhstan", "description": "This dataset was recorded with a compact camera mounted on a drone. We surveyed parts of the Almaty range front fault near the town of Rahat in order to measure the offset of fluvial terraces.", "identifier": "OTDS.032019.4326.3", "modified": "2019-03-06", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Almaty range front", "Kazakhstan", "slip rate", "active tectonics", "community-dataspace" ], "spatial": "77.37,43.36,77.38,43.37", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9TX3CGN", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Caracol/Chiquibul Belize Lidar", "description": "Lidar point cloud data collected in 2009 and 2013 over Belize's Chiquibul forest. The 60 uploaded tiles have been normalized and have no ground or topography data.", "identifier": "OTDS.022019.32616.2", "modified": "2019-02-21", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Caracol", "Chiquibul", "Belize", "Lidar", "forest", "community-dataspace" ], "spatial": "-89.14,16.7,-88.9,17.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9833Q42", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "TEAM lidar data over La Selva, Costa Rica 2009", "description": "Small-footprint, discrete-return lidar data were collected over the La Selva protected area in Costa Rica in 2009. The data include coverage of the lowest elevation TEAM vegetation plot at the Volcan Barva TEAM site as well as low-biomass secondary forests and plantations.\n\nThe lidar data were collected and provided to TEAM by Northrop Grumman Corporation, through the Global Climate Monitoring Systems and 3001 remote sensing division.", "identifier": "OTDS.022019.32616.1", "modified": "2019-02-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar", "costa rica", "la selva", "biomass", "team", "small footprint", "community-dataspace" ], "spatial": "-84.11,10.34,-83.95,10.5", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9P8491K", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Mirror Fault, Dixie Valley, Nevada", "description": "Small area structure from motion (SFM) survey of the Mirror Fault surface, Dixie Valley, Nevada.", "identifier": "OTDS.022019.4326.1", "modified": "2019-02-12", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Mirror Fault", "Dixie Valley", "Nevada", "SfM", "community-dataspace" ], "spatial": "-117.94,39.95,-117.94,39.95", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GQ6VVB", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Pleasant Valley Fault Scarp, Tobin Range, Nevada", "description": "Point cloud flown during TLS survey of fault segment.", "identifier": "OTDS.022019.4326.2", "modified": "2019-02-14", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Pleasant Valley", "Fault Scarp", "Tobin Range", "Nevada", "community-dataspace" ], "spatial": "-117.64,40.28,-117.63,40.29", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9ZS2TM9", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Urji (west side of Corbetti volcano), Ethiopia", "description": "The raster DEM was generated from a point cloud, also uploaded to available from OpenTopography. This point cloud was generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.", "identifier": "OTDS.022019.32637.4", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Urji", "Corbetti", "volcano", "Ethiopia", "optical", "imagery", "stereo", "community-dataspace" ], "spatial": "38.29,7.11,38.44,7.27", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9W0941H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 2 of 2)", "description": "Lidar data were acquired by the UK Natural Environmental Research Council\u0092s Airborne Research and Survey Facility (NERC ARSF) in October 2009. From this data, a DEM of 0.5 m pixel resolution was generated by Barnie et al. (2016); full details of processing are provided in Hofmann (2013).\nThis is Part 2 of the raster DEM covering the southern half of the total area.", "identifier": "OTDS.022019.32637.6", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Dabbahu", "volcano", "Ethiopia", "community-dataspace" ], "spatial": "40.38,12.46,40.65,12.61", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9MG7MK2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Dabbahu volcano, Ethiopia (Part 1 of 2)", "description": "Lidar data were acquired by the UK Natural Environmental Research Council\u0092s Airborne Research and Survey Facility (NERC ARSF) in October 2009. From this data, a DEM of 0.5 m pixel resolution was generated by Barnie et al. (2016); full details of processing are provided in Hofmann (2013).\nThis is Part 1 of the raster DEM covering the northern half of the total area.", "identifier": "OTDS.022019.32637.5", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Dabbahu", "volcano", "Ethiopia", "community-dataspace" ], "spatial": "40.38,12.61,40.65,12.77", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9R78C9S", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Chabbi (east side of Corbetti volcano), Ethiopia", "description": "Lidar data were acquired by the UK Natural Environmental Research Council\u0092s Airborne Research and Survey Facility (NERC ARSF) in November 2012. From this data, a DEM of 2 m resolution was generated using GRASS (Geographic Resources Analysis Support System; http://grass.osgeo.org/) as described in Hutchison et al. (2015).", "identifier": "OTDS.022019.32637.3", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "chabbi", "Corbetti", "volcano", "Ethiopia", "community-dataspace" ], "spatial": "38.38,7.11,38.51,7.26", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90R9MH3", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Gedemsa volcano, Ethiopia", "description": "The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.", "identifier": "OTDS.022019.32637.2", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Gedemsa", "volcano", "Ethiopia", "community-dataspace" ], "spatial": "39.09,8.28,39.27,8.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G94J0C6X", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Digital Elevation Model of Fentale volcano, Ethiopia", "description": "The point cloud and raster DEM were generated from Pleiades stereo panchromatic optical images with 50 cm resolution. The data were processed using the Leica Photogrammetry Suite within ERDAS Imagine.", "identifier": "OTDS.022019.32637.1", "modified": "2019-02-07", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "DEM", "Fentale", "volcano", "Ethiopia", "community-dataspace" ], "spatial": "39.83,8.91,39.98,9.04", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9862DKT", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2016 Norcia Earthquake (Italy), Mt Bove Fault - Post-earthquake", "description": "Post-earthquake terrestrial laser scanning dataset collected on 5th October 2016, 6 days after the 30th October 2016 Mw6.6 Norcia Earthquake (central Italy). The dataset was collected near the town of Frontignano and covers a small portion of the Mt Bove fault that slipped in the both the Norcia Earthquake, and the 26th October 2016 Mw6.1 Visso earthquake.\n\nThe pre-earthquake dataset is available from OpenTopography at: https://doi.org/10.5069/G9JQ0Z4H\n\nFor more information please refer to Wedmore, L.N.J., Gregory, L.C., McCaffrey, K.J.W., Goodall, H., Walters, R.J. (2019). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Geophysical Research Letters. https://doi.org/10.1029/2018GL080858\n\nThis work was funded by NERC Urgency grant: NE/P018858/1", "identifier": "OTDS.022019.32633.1", "modified": "2019-02-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "TLS", "Earthquake", "Point Cloud Differencing", "ICP", "Italy", "Mt Bove", "community-dataspace" ], "spatial": "13.17,42.91,13.18,42.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9CV4FV2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2016 Norcia Earthquake (Italy), Mt Bove Fault - Pre-earthquake", "description": "Pre-earthquake terrestrial laser scanning dataset collected on 29th October 2016, 12 hours prior to the 30th October 2016 Mw6.6 Norcia Earthquake (central Italy). The dataset was collected near the town of Frontignano and covers a small portion of the Mt Bove fault that slipped in the both the Norcia Earthquake, and the 26th October 2016 Mw6.1 Visso earthquake.\n\nThe post-earthquake dataset is available from OpenTopography at: https://doi.org/10.5069/G9CV4FV2\n\nFor more information please refer to Wedmore, L.N.J., Gregory, L.C., McCaffrey, K.J.W., Goodall, H., Walters, R.J. (2019). Partitioned off-fault deformation in the 2016 Norcia earthquake captured by differential terrestrial laser scanning. Geophysical Research Letters. https://doi.org/10.1029/2018GL080858\n\nThis work was funded by NERC Urgency grant: NE/P018858/1", "identifier": "OTDS.012019.32633.1", "modified": "2019-02-22", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "TLS", "Earthquake", "Point Cloud Differencing", "ICP", "Italy", "Mt Bove", "community-dataspace" ], "spatial": "13.17,42.91,13.18,42.91", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9JQ0Z4H", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Clear Creek, Idaho post-fire debris flow erosion", "description": "This dataset was collected to quantify post-fire debris flow erosion. An unnamed 0.95 km^2 catchment produced a debris flow in October 2016 following the Pioneer Fire in Idaho. We surveyed the deposit, main channel, and tributary channels in June 2017 at cm-resolution using drone-based Structure from Motion. Here, we provide the original images, raw point cloud, and derived rasters. We also provide metadata and RTK-GPS survey results.", "identifier": "OTDS.012019.32611.1", "modified": "2019-01-27", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "post-fire erosion", "debris flow", "Idaho", "geomorphology", "Idaho", "Clear Creek", "community-dataspace" ], "spatial": "-115.48,44.21,-115.47,44.22", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9V69GPX", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2012 Santorini, Greece LiDAR dataset EU-12-12-137", "description": "Datasets from a LiDAR survey of the Greek volcanic islands of Nea Kameni and Palea Kameni, Santorini, Greece. Data were collected during a NERC ARSF flight campaign EU-12-12-137. \n\nSee the open access paper in GeoResJ by Evi Nomikou et al., (2014) for details; http://dx.doi.org/10.1016/j.grj.2014.02.002\n\nData were originally published on Figshare: \nPyle, David; Parks, Michelle; Mather, Tamsin; Nomikou, Paraskevi (2014): 2012 Santorini LiDAR data. figshare. Fileset. https://doi.org/10.6084/m9.figshare.1138718.v2", "identifier": "OTDS.112018.32635.1", "modified": "2018-11-16", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Santorini", "Greece", "Airborne Research and Survey Facility", "nerc", "LiDAR topographic dataset", "Kameni islands", "community-dataspace" ], "spatial": "25.37,36.39,25.42,36.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.6084/m9.figshare.1138718.v2", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "2018 Faraglione, Vulcano Island, Sicily, Italy (simple demo)", "description": "These data were collected over the Faraglione--a rock outcropping in the Vulcano Town area, Vulcano Island, Sicily, Italy. They were produced as part of a general investigation of the island and in support of a Risk Course from the University of Geneva lead by Professor Costanza Bonnadonna. The Faragalione is a set of tilted and deformed volcanic rocks. Collected with a DJI Phantom 4 Pro by Ramon Arrowsmith in coordination with Dr. Fabio Pisciotta of the INGV. Alessandro Gattuso (INGV) assisted in ground control and planning.", "identifier": "OTDS.102018.32633.1", "modified": "2018-10-29", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Vulcano", "Sicily", "avalanche", "community-dataspace" ], "spatial": "14.96,38.41,14.96,38.42", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9WD3XPD", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Photogrammetric model of a portion of the Lee Adoyta Basin, Afar, Ethiopia", "description": "These data were collected in the Lee Adoyta basin of Ledi Geraru Research Project, Lower Awash Valley, Afar, Ethiopia. They were produced in support of paleontological research. The area comprises gently tilted 2.7 million year old rocks faulted against 3 million year old basalts. The area was described by \tDiMaggio, E. N., Campisano, C. J., Rowan, J., Dupont-Nivet, G., Deino, A. L., Bibi, F., Lewis, M. E., Souron, A., Garello, D., Werdelin, L., Reed, K., E., Arrowsmith, J R., Late Pliocene Fossiliferous Sedimentary Record and the Environmental Context of early Homo from Afar, Ethiopia, Science, VOL 347 ISSUE 6228, 10.1126/science.aaa1415, 2015.\n\nCollected with a DJI Mavic Air by Ramon Arrowsmith in coordination with Erin DiMaggio. Dominique Garello and Brian Villmoare assisted in ground control and planning.", "identifier": "OTDS.102018.32637.1", "modified": "2018-10-24", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Sedimentary", "paleontology", "Pliocene", "Afar", "Ethiopia", "community-dataspace" ], "spatial": "40.86,11.36,40.86,11.36", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G95X271W", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Galway Lake Road, Emerson Fault, CA", "description": "Galway Lake Road site data was generated using Structure from Motion (SfM; not a laser scanning method). The site, located ~45 km north of Yucca Valley, covers a segment of the Emerson Fault ruptured by the 1992 Mw 7.3 Landers earthquake, and tests the feasibility of SfM as part of the immediate scientific response following an earthquake.", "identifier": "OTDS.102018.32611.2", "modified": "2018-10-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "SfM", "Landers earthquake", "Emerson Fault", "california", "ca", "community-dataspace" ], "spatial": "-116.56,34.54,-116.55,34.54", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9BP00WK", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Washington Street site, Banning strand, southern San Andreas Fault, CA", "description": "Washington Street site data was generated using Structure from Motion (SfM; not a laser scanning method). The site is located ~20 km due east of Palm Springs and covers a short section of the southern Banning strand of the San Andreas Fault that cuts through an alluvial fan and has not ruptured historically. The site serves as a test site for using SfM in paleoseismic studies.", "identifier": "OTDS.102018.32611.1", "modified": "2018-10-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "Structure from Motion", "SfM", "Banning", "San Andreas Fault", "CA", "California", "community-dataspace" ], "spatial": "-116.31,33.81,-116.31,33.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9GF0RKG", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "Switzerland 50 Centimeter Digital Elevation Models", "description": "The Switzerland Digital Elevation Model is a national high-resolution elevation dataset produced by swisstopo (the Federal Office of Topography of Switzerland). The dataset is derived from airborne lidar surveys and is available as both a Digital Terrain Model (DTM, swissALTI3D) and a Digital Surface Model (DSM, swissSURFACE3D Raster), each at 50 cm resolution covering Switzerland and the Principality of Liechtenstein. Both the DTM and DSM derive from the same single nationwide lidar campaign conducted by swisstopo in six stages over approximately seven years (spring 2017 to late 2025). Both products are published under an Open Government Data (OGD) license and are freely available for commercial and non-commercial use. For more information about this dataset: Federal Office of Topography swisstopo swissALTI3D Raster (DTM) swissSURFACE3D Raster (DSM)", "identifier": "OT.072026.2056.1", "modified": "2026-07-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "restricted public", "rights": "Access to this dataset is limited to academics. Users must register with an institutional email on OpenTopography to gain access.", "keyword": [ "lidar", "topography", "Switzerland", "Liechtenstein", "bare-earth", "DTM", "surface", "DSM" ], "spatial": "5.95,45.72,10.5,47.82", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9513WFJ", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "USGS 1/3 arc-second Digital Elevation Model", "description": "This collection of the 3D Elevation Program (3DEP) is at 1/3 arc-second (approximately 10 m) resolution. The 3DEP data holdings serve as the elevation layer of The National Map, and provide foundational elevation information for earth science studies and mapping applications in the United States. Scientists and resource managers use 3DEP data for hydrologic modeling, resource monitoring, mapping and visualization, and many other applications. The elevations in this DEM represent the topographic bare-earth surface. The seamless 1/3 arc-second DEM layers are derived from diverse source data that are processed to a common coordinate system and unit of vertical measure. These data are distributed in geographic coordinates in units of decimal degrees, and in conformance with the North American Datum of 1983 (NAD 83). All elevation values are in meters and, over the continental United States, are referenced to the North American Vertical Datum of 1988 (NAVD88). The vertical reference will vary in other areas. The seamless 1/3 arc-second DEM layer provides coverage of the conterminous United States, Hawaii, Puerto Rico, other territorial islands, and in limited areas of Alaska. These seamless DEMs were referred to as the National Elevation Dataset (NED) from about 2000 through 2015 at which time they became the seamless DEM layers under the 3DEP program and the NED name and system were retired. All 3DEP products are public domain. Click here for more details on this dataset", "identifier": "OT.012021.4269.1", "modified": "2021-06-18", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "USGS", "NED", "3DEP", "DEM", "bare-earth", "topography", "elevation", "lidar" ], "spatial": "-174.0,-15.0,164.0,72.0", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G98K778D", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey near Rio Tambor, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Rio Tambor, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.9", "modified": "2026-07-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-89.83,14.91,-89.81,14.94", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G9VH5M23", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] }, { "@type": "dcat:Dataset", "title": "UAV Lidar Survey near Gualan, Guatemala, January 2024", "description": "This flight was part of a multi-day, multi-site lidar survey of various points along the Motagua and Polochic Faults in Guatemala. UAV-based lidar survey of Gualan, Guatemala, part of the 2024 Spring Campaign conducted by Missouri S&T under an NSF planning grant led by J. Obrist-Farner and Jeremy Maurer to collect and analyze high-resolution topography data along several points of the Polochic-Motagua Fault System (PMFS). The lidar data was collected to be used for analyzing fault offsets and identifying locations that might be suitable for trenching, as well as better understanding the fault system.", "identifier": "OTDS.072026.32616.8", "modified": "2026-07-31", "bureauCode": [ "000:00" ], "programCode": [ "000:000" ], "license": "https://creativecommons.org/licenses/by/4.0", "publisher": { "@type": "org:Organization", "name": "OpenTopography" }, "contactPoint": { "@type": "vcard:Contact", "fn": "OpenTopography Support", "hasEmail": "mailto:info@opentopography.org" }, "accessLevel": "public", "keyword": [ "lidar; airborne lidar; UAV; drone; Guatemala; Polochic-Motagua Fault System; active tectonics; tectonic geomorphology; fault scarp; paleoseismology; DTM", "community-dataspace" ], "spatial": "-89.34,15.11,-89.31,15.14", "distribution": [ { "@type": "dcat:Distribution", "accessURL": "https://doi.org/10.5069/G90863JC", "title": "OpenTopography Data Download Page", "mediaType": "text/html" } ] } ] }