Lidar Survey of the Centralia Mine, WA 2023
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DOI: https://doi.org/10.5069/G9765CJS
OT Collection ID: OT.112024.6339.1
OT Collection Name: Lidar Survey of the Centralia Mine, WA 2023
Short Name: WA23_Centralia
Collection Platform: Airborne Lidar
OT Collection ID: OT.112024.6339.1
OT Collection Name: Lidar Survey of the Centralia Mine, WA 2023
Short Name: WA23_Centralia
Collection Platform: Airborne Lidar
Download and Access Products:
| Point Cloud Data | Bulk Download | opentopoID: OTLAS.112024.6339.1 | |
| Raster Data | Bulk Download | opentopoID: OTSDEM.112024.6339.1 |
Collection Overview:
Dataset Acknowledgement: N/A - Acknowledgement Guidance
Dataset Citation: Office of Surface Mining Reclamation and Enforcement (2024). Lidar Survey of the Centralia Mine, WA 2023. Collected by Surdex. Distributed by OpenTopography. https://doi.org/10.5069/G9765CJS. Accessed: 2024-12-22 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: Lidar, imagery, mining, Centralia, Washington, topography
Survey Date: 10/06/2023
Publication Date: 11/18/2024
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.
Dataset Acknowledgement: N/A - Acknowledgement Guidance
Dataset Citation: Office of Surface Mining Reclamation and Enforcement (2024). Lidar Survey of the Centralia Mine, WA 2023. Collected by Surdex. Distributed by OpenTopography. https://doi.org/10.5069/G9765CJS. Accessed: 2024-12-22 Copied to Clipboard
Use License: CC BY 4.0
Dataset Keywords: Lidar, imagery, mining, Centralia, Washington, topography
Survey Date: 10/06/2023
Publication Date: 11/18/2024
Total number of points:
1,140,090,281 pts
Area: 45.8 km2
Point Density: 24.89 pts/m2
Classifications:
Raster Resolution: 0.3 meter
Orthophoto Resolution: 0.1 meter
Coordinate System:
Horizontal: NAD83 (2011) / UTM Zone 10N Meters [EPSG: 6339]
Vertical: NAVD88 [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: Reports
Area: 45.8 km2
Point Density: 24.89 pts/m2
Classifications:
| Class 0 - Never classified | 19,088 |
| Class 1 - Unclassified | 1,000,140,511 |
| Class 2 - Ground | 128,889,970 |
| Class 3 - Low Vegetation | 5 |
| Class 7 - Low Point (low noise) | 29,730 |
| Class 9 - Water | 10,243,933 |
| Class 17 - Bridge Deck | 21,755 |
| Class 18 - High Noise | 637,033 |
| Class 20 - Reserved | 108,256 |
Raster Resolution: 0.3 meter
Orthophoto Resolution: 0.1 meter
Coordinate System:
Horizontal: NAD83 (2011) / UTM Zone 10N Meters [EPSG: 6339]
Vertical: NAVD88 [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: WA23_Centralia.geojson
Raster: WA23_Centralia.geojson
Dataset Spatial Bounds: North: 46.795771375259264° South: 46.68715850180593° East: -122.75369091462603° West: -122.88591023351498°
Dataset Extent in GeoJSON format:
Point Cloud: WA23_Centralia.geojson
Raster: WA23_Centralia.geojson
Dataset Spatial Bounds: North: 46.795771375259264° South: 46.68715850180593° East: -122.75369091462603° West: -122.88591023351498°