USFS Medicine Lake Volcano Lidar, CA 2013
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DOI: https://doi.org/10.5069/G9K935RC
OT Collection ID: OT.122022.26910.1
OT Collection Name: USFS Medicine Lake Volcano Lidar, CA 2013
Short Name: CA13_MLV
Collection Platform: Airborne Lidar
OT Collection ID: OT.122022.26910.1
OT Collection Name: USFS Medicine Lake Volcano Lidar, CA 2013
Short Name: CA13_MLV
Collection Platform: Airborne Lidar
Download and Access Products:
Point Cloud Data Bulk Download opentopoID: OTLAS.122022.26910.1
Raster Data Bulk Download opentopoID: OTSDEM.122022.26910.1
Point Cloud Data Bulk Download opentopoID: OTLAS.122022.26910.1
Raster Data Bulk Download opentopoID: OTSDEM.122022.26910.1
Collection Overview:
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)
Dataset Acknowledgement: Data were collected by the US Forest Service using public funds and can be freely used in the public domain
Dataset Citation: U.S. Forest Service Region 5 Remote Sensing Lab Information Management Staff. (2022). USFS Medicine Lake Volcano Lidar, CA 2013. Collected by Digital Mapping Inc. Distributed by OpenTopography. https://doi.org/10.5069/G9K935RC. Accessed: 2024-10-04 Copied to Clipboard
Use License: CC0 1.0
Dataset Keywords: BurnPro3D,California, fire, Hager basin, topography, hydrology, Medicine Lake
Survey Date: 10/06/2013 - 10/18/2013
Publication Date: 12/05/2022
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)
Dataset Acknowledgement: Data were collected by the US Forest Service using public funds and can be freely used in the public domain
Dataset Citation: U.S. Forest Service Region 5 Remote Sensing Lab Information Management Staff. (2022). USFS Medicine Lake Volcano Lidar, CA 2013. Collected by Digital Mapping Inc. Distributed by OpenTopography. https://doi.org/10.5069/G9K935RC. Accessed: 2024-10-04 Copied to Clipboard
Use License: CC0 1.0
Dataset Keywords: BurnPro3D,California, fire, Hager basin, topography, hydrology, Medicine Lake
Survey Date: 10/06/2013 - 10/18/2013
Publication Date: 12/05/2022
Data Provider and Roles:
Funder Collector Contact Person
Funder Collector Contact Person
- Michèle Slaton - United States Forest Service
Total number of points:
4,442,023,291 pts
Area: 339.34 km2
Point Density: 13.09 pts/m2
Classifications:
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 / UTM Zone 10N Meters [EPSG: 26910]
Vertical: NAVD88 (GEOID 12A) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 339.34 km2
Point Density: 13.09 pts/m2
Classifications:
| Class 1 - Unclassified | 1,550,033,434 |
| Class 2 - Ground | 883,047,383 |
| Class 3 - Low Vegetation | 789,263,691 |
| Class 4 - Medium Vegetation | 834,511,122 |
| Class 5 - High Vegetation | 384,227,193 |
| Class 6 - Building | 6 |
| Class 7 - Low Point (low noise) | 3,646 |
| Class 10 - Rail | 1 |
| Class 15 - Transmission Tower | 159,963 |
| Class 21 - Reserved | 776,852 |
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 / UTM Zone 10N Meters [EPSG: 26910]
Vertical: NAVD88 (GEOID 12A) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Tile index in shapefile format:
Download
Dataset Extent in GeoJSON format:
Point Cloud: CA13_MLV.geojson
Raster: CA13_MLV.geojson
Dataset Spatial Bounds: North: 41.66461347372123° South: 41.41144621606943° East: -121.42773473064346° West: -121.78136606081691°
Dataset Extent in GeoJSON format:
Point Cloud: CA13_MLV.geojson
Raster: CA13_MLV.geojson
Dataset Spatial Bounds: North: 41.66461347372123° South: 41.41144621606943° East: -121.42773473064346° West: -121.78136606081691°