A multi-year effort from 2021 to 2025 monitored monthly snow distribution over a 35 km² region in Idaho's Boise Mountains. The dataset provides digital terrain models (DTM), digital surface models (DSM), snow depth models, and canopy height models (CHM) derived from airborne lidar point clouds. Data acquisition in 2021 overlapped with the NASA SnowEx 2021 field campaign.
Use Cases
- Model snow depth distribution based on monthly lidar-derived snow depth models.
- Analyze terrain characteristics based on digital terrain models (DTM).
- Estimate forest canopy height based on canopy height models (CHM).
- Monitor seasonal snow cover changes based on multi-year monthly data collection.
Strengths
- Multi-year temporal coverage from 2021 to 2025.
- Focus on a 35 km² region for detailed spatial analysis.
- Monthly data collection designed to capture seasonal snow dynamics.
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.
Provenance
- Source
- NSIDC_CPRD
- Collection Method
- Data derived from point clouds acquired by airborne lidar scanning.
- Time Range
- 2021 to 2025
- Freshness
- Last updated 2025-05-01 23:59:59.999000; freshness should be verified.
- Geography
- Mores Creek Headwaters in the Boise Mountains of central Idaho