Idaho LiDAR Consortium (ILC): Moscow Mountain
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DOI: https://doi.org/10.5069/G9G15XS0
OT Collection ID: OT.042012.26911.2
OT Collection Name: Idaho LiDAR Consortium (ILC): Moscow Mountain
Short Name: ILC03_MoscowMnt
Collection Platform: Airborne Lidar
OT Collection ID: OT.042012.26911.2
OT Collection Name: Idaho LiDAR Consortium (ILC): Moscow Mountain
Short Name: ILC03_MoscowMnt
Collection Platform: Airborne Lidar
Collection Overview:
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.
Dataset Acknowledgement: Proper credit to Idaho Lidar Consortium.
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.
Dataset Citation: Idaho LiDAR Consortium (ILC): Moscow Mountain. Distributed by OpenTopography. https://doi.org/10.5069/G9G15XS0 . Accessed: 2024-10-22 Copied to Clipboard
Use License: Not Provided
Dataset Keywords: Idaho, lidar
Survey Date: 08/13/2003 - 08/14/2003
Publication Date: 05/04/2012
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.
Dataset Acknowledgement: Proper credit to Idaho Lidar Consortium.
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.
Dataset Citation: Idaho LiDAR Consortium (ILC): Moscow Mountain. Distributed by OpenTopography. https://doi.org/10.5069/G9G15XS0 . Accessed: 2024-10-22 Copied to Clipboard
Use License: Not Provided
Dataset Keywords: Idaho, lidar
Survey Date: 08/13/2003 - 08/14/2003
Publication Date: 05/04/2012
Data Provider and Roles:
Funder Partners Collector
Funder Partners Collector
Total number of points:
113,191,977 pts
Area: 327 km2
Point Density: 0.35 pts/m2
Classifications:
Coordinate System:
Horizontal: NAD83 / UTM Zone 11N Meters [EPSG: 26911]
Vertical: NAVD88 [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: ILC03_MoscowMnt.html
Area: 327 km2
Point Density: 0.35 pts/m2
Classifications:
| Class 0 - Never classified | 76,106,463 |
| Class 2 - Ground | 37,085,514 |
Coordinate System:
Horizontal: NAD83 / UTM Zone 11N Meters [EPSG: 26911]
Vertical: NAVD88 [EPSG: 5703]
Units: meter
Survey Report: Reports
LAS Validation Data Report: ILC03_MoscowMnt.html
Tile index in shapefile format:
Download
Dataset Extent in GeoJSON format: ILC03_MoscowMnt.geojson
Dataset Spatial Bounds: North: 46.89669179641489° South: 46.7581146895464° East: -116.61792949074° West: -117.026973604246°
Dataset Extent in GeoJSON format: ILC03_MoscowMnt.geojson
Dataset Spatial Bounds: North: 46.89669179641489° South: 46.7581146895464° East: -116.61792949074° West: -117.026973604246°