Abstract
<p> The dataset is a collection of 1m resolution snow depth, elevation, aspect, slope, canopy percent cover, canopy height, foliage height diversity (FHD) with 0.5 m, 1 m, and 2 m voxel sizes. We processed lidar data of Grand Mesa, Colorado, representing a data collection effort by the NASA SnowEx campaign. Using the data we investigate how structural diversity and topography affect snow depth patterns. Snow depth is computed by snow-off and snow-on dataset from September 2016 and February 2020, respectively. Snow-off lidar data were collected by the Airborne Snow Observatory (ASO), lidar system created by NASA/JPL. Snow-on lidar data are provided by Quantum Spatial as a part of the NASA SnowEx ( <a href="https://snow.nasa.gov/campaigns/snowex" target="_blank" title="Link to NASA snowex site"> https://snow.nasa.gov/campaigns/snowex </a> ) campaign in 2020.</p>
Original language | American English |
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Media of output | Online |
DOIs | |
State | Published - 11 Jul 2022 |
Keywords
- Grand Mesa
- LiDAR
- foliage height diversity
- snow depth