Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019
Welcome Guest ( Sign In )
DOI: https://doi.org/10.5069/G9C24TN0
OT Collection ID: OT.022022.6340.1
OT Collection Name: Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019
Short Name: CA19_Dibiase
Collection Platform: Airborne Lidar
OT Collection ID: OT.022022.6340.1
OT Collection Name: Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019
Short Name: CA19_Dibiase
Collection Platform: Airborne Lidar
Metadata Download:
ISO 19115 (Data)
Plain Text
Download and Access Products:
Point Cloud Data Bulk Download opentopoID: OTLAS.022022.6340.1
Raster Data Bulk Download opentopoID: OTSDEM.022022.6340.1
Point Cloud Data Bulk Download opentopoID: OTLAS.022022.6340.1
Raster Data Bulk Download opentopoID: OTSDEM.022022.6340.1
Collection Overview:
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.
Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734.
Dataset Citation: DiBiase, R. (2022). Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9C24TN0. Accessed: 2024-04-25
Use License: CC BY 4.0
Dataset Keywords: lidar, Inyo, Sierra, climate, tectonics, hillslope, california, ridgecrest, soil, bedrock
Survey Date: 09/29/2019 - 10/03/2019
Publication Date: 02/08/2022
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
Dataset Acknowledgement: Lidar data acquisition and processing completed by the National Center for Airborne Laser Mapping (NCALM). NCALM funding provided by NSF's Division of Earth Sciences, Instrumentation and Facilities Program. EAR-1830734.
Dataset Citation: DiBiase, R. (2022). Climate and Tectonic Controls on Bedrock Hillslopes, CA 2019. National Center for Airborne Laser Mapping (NCALM). Distributed by OpenTopography. https://doi.org/10.5069/G9C24TN0. Accessed: 2024-04-25
Use License: CC BY 4.0
Dataset Keywords: lidar, Inyo, Sierra, climate, tectonics, hillslope, california, ridgecrest, soil, bedrock
Survey Date: 09/29/2019 - 10/03/2019
Publication Date: 02/08/2022
Data Provider and Roles:
Funder Collector Principal Investigator
Funder Collector Principal Investigator
- Roman DiBiase - Pennsylvania State University
ORCID: https://orcid.org/0000-0002-5347-8396
Total number of points: 3,085,231,474 pts
Area: 133.08 km2
Point Density: 23.18 pts/m2
Classifications:
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 (2011) / UTM Zone 11N Meters [EPSG: 6340]
Vertical: NAVD88 (GEOID 12B) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 133.08 km2
Point Density: 23.18 pts/m2
Classifications:
| Class 1 - Unclassified | 1,221,038,142 |
| Class 2 - Ground | 1,851,980,207 |
| Class 7 - Low Point (low noise) | 26,766 |
| Class 18 - High Noise | 12,186,359 |
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 (2011) / UTM Zone 11N Meters [EPSG: 6340]
Vertical: NAVD88 (GEOID 12B) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Tile index in shapefile format: Download
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 36.7826861561976° South: 35.9933293599616° East: -117.865107798339° West: -118.125511045519°
Dataset Extent in KMZ format: Download
Dataset Spatial Bounds: North: 36.7826861561976° South: 35.9933293599616° East: -117.865107798339° West: -118.125511045519°