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Description

This data set is part of the SnowEx 2020 and SnowEx 2021 campaigns and provides vegetation height values at a 0.5 m spatial resolution, derived from point cloud digital terrain models. Vegetation heights are available for February 2020 and March 2021 for multiple areas in Colorado, Idaho, and Utah. These data were produced alongside <a href="https://doi.org/10.5067/YO583L7ZOLOO">DEM</a> and <a href="https://doi.org/10.5067/VBUN16K365DG">Snow Depth</a> data sets.

Version Description

Initial release

Product Summary

Platforms
King Air
Instruments
LIDAR
Projects
SNOWEX
Spatial Extent

N: 44.3658 S: 43.0343 E: -114.8547 W: -117.0661

,

N: 40.6041 S: 40.5161 E: -111.5989 W: -111.7319

,

N: 40.5841 S: 38.9681 E: -105.7432 W: -108.3384

Spatial Resolution
0.5 Meters x 0.5 Meters
Spatial Reference System(s)
Multiple EPSG codes (see User Guide)
Location
COLORADO ,
IDAHO ,
UTAH
Coordinate System
CARTESIAN
Granule Spatial Representation
GEODETIC
Temporal Extent
2021-03-15 to 2021-03-20
Temporal Resolution
Varies
Concept ID
C3271567778-NSIDC_CPRD
Data State
COMPLETE
Number of Files/Granules
12
Processing Level
3
Published
Science Keywords
Vegetation Height

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Adebisi, N., Marshall, H.-P., Vuyovich, C., Elder, K., Hiemstra, C., & Durand, M. (2022). SnowEx20-21 QSI Lidar Vegetation Height 0.5m UTM Grid, Version 1 [Dataset]. NASA National Snow and Ice Data Center Distributed Active Archive Center. https://doi.org/10.5067/8RBIUIPEUJ7Z Date Accessed: 2026-10-08

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Publications Citing This Dataset

Filters
Title Authors Year Referenced Datasets
Evaluating snow depth retrievals from Sentinel-1 volume scattering over
  • Hoppinen, Zachary, Palomaki, Ross T., Brencher, George, Dunmire, Devon, Gagliano, Eric, Marziliano, Adrian, Tarricone, Jack, Marshall, Hans-Peter
Lband InSAR snow water equivalent retrieval uncertainty increases with forest cover fraction
  • Bonnell, R., Elder, K., McGrath, D., Marshall, H. P., Starr, B., Adebisi, N., Palomaki, R. T., Hoppinen, Z.
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