Publication Details
- Title:
- Digital surface, terrain, and canopy height models for the Bannock Creek unit of Boise Basin Experimental Forest in 2007
- Author(s):
-
Hudak, Andrew T.; Liebermann, Robert J.; Moreira, Eder P.; Link, Timothy E. - Publication Year:
- 2013
- How to Cite:
-
These data were collected using funding from the University of Idaho and 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:
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
- Abstract:
- The data publication contains 1 meter raster data sets for three different digital elevation models (DEM) for the Bannock Creek unit of the Boise Basin Experimental Forest in south central Idaho in November 2007. The first is a digital terrain model (DTM), which is the ground surface with all vegetation and human-made structures removed. The second is a digital surface model (DSM), which includes all vegetation and human-made structures. The last is a canopy height model (CHM), which is the difference between the DSM and the DTM surfaces.
- Keywords:
- LiDAR; digital elevation model; digital terrain model; digital surface model; canopy height model; elevation data; topography; land cover; high-resolution; vegetation; elevation; Ecology, Ecosystems, & Environment; Landscape ecology; Natural Resource Management & Use; Landscape management; Idaho; Boise Basin Experimental Forest; Bannock Creek
- Related publications:
- 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
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- RDS-2013-0003.zip (174.14 MB;
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