Title:

Digital surface, terrain, and canopy height models for Deception Creek Experimental Forest in 2011

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 Deception Creek Experimental Forest in 2011. Fort Collins, CO: Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2020-0042

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 over Deception Creek Experimental Forest, Idaho, USA in 2011.

Keywords:

biota; elevation; imageryBaseMapsEarthCover; 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; Deception Creek Experimental Forest; Idaho

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