SnowEx23 Oct23 Ground Surface Roughness Reconstruction V001 presents ground surface roughness data collected during the NASA SnowEx 2023 field campaign between 17 and 28 October 2023. The data are formatted as point clouds compiled from digital camera images. Images were collected from 22 snow pits across three study sites in Northern Alaska.
Use Cases
- Train computer vision models for surface roughness estimation based on point cloud data.
- Validate satellite or airborne snow property retrievals based on ground-based roughness measurements.
- Analyze spatial variability of snow surface features across arctic tundra and boreal forest environments.
- Develop simulation models for snowpack evolution using reconstructed surface geometry.
Strengths
- Data collected during a focused NASA field campaign (SnowEx 2023) between 17 and 28 October 2023.
- Point clouds derived from imagery collected at 22 snow pits across three distinct study sites.
- Raw imagery source is documented and available via a DOI link.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect geographic bias inherent to nasa_earthdata, focusing on specific Alaskan sites.
Provenance
- Source
- NSIDC_CPRD
- Collection Method
- Compiled from digital camera images acquired at snow pits.
- Time Range
- 17 to 28 October 2023
- Freshness
- Last updated 2023-10-28 23:59:59.999000; freshness should be verified.
- Geography
- Upper Kuparuk and Toolik (UKT), Caribou Poker Creek watershed (CPCW), and Farmers Loop Creamers Field (FLCF) near Fairbanks, Alaska.