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3 m Resolution Digital Elevation Model for the Upper Gunnison Domain derived from 2015 and 2019 LiDAR Data

Creators: Ian BreckheimerORCID
Year: 2021
License: See source for details
Location: Upper East River / Gunnison Basin, Colorado
Temporal extent: 2015-08-05 to 2019-09-24
Bounding box: 38.457°N to 39.064°N, -107.210°W to -106.328°W
Publisher: RMBL
Tags: elevation, lidar, SDP, bare-earth, release3, Forest Ecology, Hydrology & Watersheds, Geochemistry & Isotopes, Geospatial Analysis, Gunnison Basin, Research Programs

Description

<p>This is a 3 m resolution Digital Elevation Model (DEM) for the Upper Gunnison River domain derived from public LiDAR datasets. The primary data source was a 2019 LiDAR collection for Gunnison County. A small portion of the upper basin was not covered by this dataset, and for those areas, data from a 2015 acquisition was substituted. </p><p>Source datasets include August 2015 and August 2019 discrete-return LiDAR point clouds collected by Quantum Geospatial for terrain mapping purposes on behalf of the Colorado Hazard Mapping Program and the Colorado Water Conservation Board. Both datasets adhere to the USGS QL2 quality standard. </p><p>This dataset is distinct from, but covers overlapping geographic areas as, LiDAR datasets collected as part of the 2018 NEON Aerial Observation Platform campaign in the Upper East River (Goulden T ; Hass B ; Brodie E ; Chadwick K D ; Falco N ; Maher K ; Wainwright H ; Williams K (2020): NEON AOP Survey of Upper East River CO Watersheds: LAZ Files, LiDAR Surface Elevation, Terrain Elevation, and Canopy Height Rasters. Watershed Function SFA. doi:10.15485/1617203), and the 2015 LiDAR scan contracted by the Department of Energy for the East River and Washington Gulch (Wainwright H ; Williams K (2017): LiDAR collection in August 2015 over the East River Watershed, Colorado, USA. Watershed Function SFA. doi:10.21952/WTR/1412542). The current dataset has a higher point density (9.4 points / square meter) than the 2018 NEON AOP data, and covers a larger geographic area than the 2015 DOE data.</p>