Dataset for 1 m Resolution Snow Depth, Topographical, and Vegetation Structural Metrics

  • Ahmad Hojatimalekshah (Data Collector)
  • Nancy Glenn (Data Collector)
  • Josh Enterkine (Data Collector)

Dataset

Description

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 ( https://snow.nasa.gov/campaigns/snowex ) campaign in 2020.
Date made available11 Jul 2022

Keywords

  • Grand Mesa
  • foliage height diversity
  • snow depth
  • LiDAR

Cite this