USFS Taliaferro Ridge Lidar, CA 2012
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DOI: https://doi.org/10.5069/G93X84V2
OT Collection ID: OT.062023.26910.6
OT Collection Name: USFS Taliaferro Ridge Lidar, CA 2012
Short Name: CA12_Talia
Collection Platform: Airborne Lidar
OT Collection ID: OT.062023.26910.6
OT Collection Name: USFS Taliaferro Ridge Lidar, CA 2012
Short Name: CA12_Talia
Collection Platform: Airborne Lidar
Metadata Download:
ISO 19115 (Data)
Plain Text
Download and Access Products:
Point Cloud Data Bulk Download opentopoID: OTLAS.062023.26910.6
Raster Data Bulk Download opentopoID: OTSDEM.062023.26910.6
Point Cloud Data Bulk Download opentopoID: OTLAS.062023.26910.6
Raster Data Bulk Download opentopoID: OTSDEM.062023.26910.6
Collection Overview:
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)
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. (2023). USFS Taliaferro Ridge Lidar, CA 2012. Collected by Watershed Sciences, Inc. Distributed by OpenTopography. https://doi.org/10.5069/G93X84V2. Accessed: 2024-05-03
Use License: CC0 1.0
Dataset Keywords: BurnPro3D,California, fire, Taliaferro Ridge, landslide, Mendocino, ecology, topography, forestry, USFS
Survey Date: 10/16/2012
Publication Date: 06/27/2023
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)
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. (2023). USFS Taliaferro Ridge Lidar, CA 2012. Collected by Watershed Sciences, Inc. Distributed by OpenTopography. https://doi.org/10.5069/G93X84V2. Accessed: 2024-05-03
Use License: CC0 1.0
Dataset Keywords: BurnPro3D,California, fire, Taliaferro Ridge, landslide, Mendocino, ecology, topography, forestry, USFS
Survey Date: 10/16/2012
Publication Date: 06/27/2023
Data Provider and Roles:
Funder Collector Contact Person
Funder Collector Contact Person
- Michèle Slaton - United States Forest Service
Total number of points:
411,199,675 pts
Area: 23.02 km2
Point Density: 17.86 pts/m2
Classifications:
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 (CORS96) / UTM Zone 10N Meters [EPSG: 26910]
Vertical: NAVD88 (GEOID 03) [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 23.02 km2
Point Density: 17.86 pts/m2
Classifications:
| Class 1 - Unclassified | 331,508,946 |
| Class 2 - Ground | 51,574,555 |
| Class 7 - Low Point (low noise) | 22,036 |
| Class 11 - Road Surface | 28,094,138 |
Raster Resolution: 1.0 meter
Coordinate System:
Horizontal: NAD83 (CORS96) / UTM Zone 10N Meters [EPSG: 26910]
Vertical: NAVD88 (GEOID 03) [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: CA12_Talia.geojson
Raster: CA12_Talia.geojson
Dataset Spatial Bounds: North: 39.926476180030825° South: 39.880177752877565° East: -123.0047412082422° West: -123.08928295109224°
Dataset Extent in GeoJSON format:
Point Cloud: CA12_Talia.geojson
Raster: CA12_Talia.geojson
Dataset Spatial Bounds: North: 39.926476180030825° South: 39.880177752877565° East: -123.0047412082422° West: -123.08928295109224°