Publication Details
- Title:
- Digital surface, terrain, and canopy height models for Boise Basin Experimental Forest in 2018
- Author(s):
-
Bright, Benjamin C.; Hudak, Andrew T.; McCarley, T. Ryan - Publication Year:
- 2020
- How to Cite:
-
These data were collected using funding from the U.S. Government and can be used without additional permissions or fees. If you use these data in a publication, presentation, or other research product please use the following citation:
Bright, Benjamin C.; Hudak, Andrew T.; McCarley, T. Ryan. 2020. Digital surface, terrain, and canopy height models for Boise Basin Experimental Forest in 2018. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0041
- Abstract:
- This data publication contains three digital rasters with a spatial resolution of one meter: 1) a digital surface model (DSM), which represents the highest lidar return in each grid cell; 2) a digital terrain model (DTM), a representation of the ground surface with vegetation and other non-ground returns removed; and 3) a canopy height model (CHM), a representation of the height of vegetation above the ground surface. Digital rasters were derived from lidar data that were acquired by the U.S. Geological Survey over Boise Basin Experimental Forest, Idaho, USA in 2018.
- Keywords:
- biota; imageryBaseMapsEarthCover; elevation; Ecology, Ecosystems, & Environment; Inventory, Monitoring, & Analysis; Landscape ecology; Landscape management; Natural Resource Management & Use; canopy height model; digital surface model; digital terrain model; elevation data; forest; high-resolution; land cover; lidar; remote sensing; topography; vegetation; Boise Basin Experimental Forest; Idaho
- Related publications:
- Hudak, Andrew T.; Liebermann, Robert J.; Moreira, Eder P.; Link, Timothy E. 2013. Digital surface, terrain, and canopy height models for the Bannock Creek unit of Boise Basin Experimental Forest in 2007. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. https://doi.org/10.2737/RDS-2013-0003
- Metrics:
- Visit count : 376
Download count: 27
More details - Data Access:
-
- View metadata (HTML)
- View file index (HTML), which lists all files in this data publication and short description of their contents
- Download all files below for the complete publication:
- RDS-2020-0041.zip (1.38 GB; sha256: 1cd4a0d963e9972c1a6f81f2f40f96c10018d366448a1ab07b49646f7cf107daChecksum)
- RDS-2020-0041.zip (1.38 GB;
Need information about Using our Formats?