Measure Less, Map More: Using Machine Learning, Physiography, and Prior Depth Maps to Extrapolate In‐Swath Snow Depth Measurements Across Mountain Basins
Abstract
Abstract Basin‐wide snow depth (SD) maps can support operational water supply assessments, but their availability is limited by measurement costs (airborne) or sampling constraints (satellite and drone). We present Swath‐random forest (RF), a methodology that trains random forests on SD measured within a narrow swath (
Fields of Study & Subjects
Cryospheric studies and observations
Hydrology and Watershed Management Studies
Remote Sensing in Agriculture
Publication details
- Journal / source
- Geophysical Research Letters
- Publisher
- American Geophysical Union (AGU)
- Volume
- 53
- Issue
- 10
- Publication date
- 15 May 2026
- Language
- EN