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Unpiloted aerial system (UAS) LiDAR snow depth and static variable maps (New Hampshire; Cho et al., 2021)
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| Type: | Resource | |
| Storage: | The size of this resource is 18.1 MB | |
| Created: | Jul 30, 2021 at 9:08 p.m. | |
| Last updated: | Aug 03, 2021 at 7:18 p.m. | |
| Citation: | See how to cite this resource | |
| Content types: | Geographic Raster Content |
| Sharing Status: | Public |
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| Views: | 788 |
| Downloads: | 171 |
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Abstract
This resource is a repository of the Unpiloted Aerial System (UAS) lidar-based maps of snow depth, local gradient of snow depth, and static variables (1-m spatial resolution) over open terrain and forests at the University of New Hampshire Thompson Farm Research Observatory, New Hampshire, United States (N 43.10892°, W 70.94853°, 35 m above sea level). Snow surface elevations were collected on January 23rd, 2019 and December 4th, 2019. The respective bare earth baseline elevations were collected following snowmelt on April 11th, 2019 and March 18th, 2020. The total area surveyed was approximately 0.11 sqkm, of which 0.7 sqkm was open field and 0.4 sqkm was mixed deciduous and coniferous forest. The static variables include plant functional type (0 = fields, 0.1 = deciduous needleleaf, and 0.2 = evergreen broadleaf) roughness (cm), slope (%), shadow hours (hours), aspect (degree), inter-pixel variability of lidar returns (STD; m), topographic compound index (TCI; unitless), and total local gradient of snow-off condition (LG; cm). Please see Cho et al. (2020) in Journal of Hydrology for full details.
Map Metadata (+proj=utm +zone=19 +datum=WGS84 +units=m +no_defs)
Preferred citation:
Cho, E., Hunsaker, A. G., Jacobs, J. M., Palace, M., Sullivan, F. B., & Burakowski, E. A. (2021). Maximum Entropy Modeling to Identify Physical Drivers of Shallow Snowpack Heterogeneity using Unpiloted Aerial System (UAS) Lidar. Journal of Hydrology, 126722. https://doi.org/10.1016/j.jhydrol.2021.126722
Corresponding author: Eunsang Cho (escho@umd.edu)
Subject Keywords
Coverage
Spatial
Temporal
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Data Services
Credits
Funding Agencies
This resource was created using funding from the following sources:
| Agency Name | Award Title | Award Number |
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| U.S. Army Engineer Research and Development Center’s Cold Regions Research and Engineering Laboratory | Broad Agency Announcement Program | W913E5-18-C-005 |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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