Similar Items: Airborne lidar and machine learning reveal decreased snow depth in burned forests
- Machine learning for snow depth estimation over the European Alps, using Sentinel-1 observations, meteorological forcing data and process-based model simulations
- Estimation of snow depth from AMSR-2 based on an AutoML method over the Qinghai-Tibet Plateau
- Snow Accumulation and Melt Estimation Incorporating Temporal Variations in Snow Density
- Improved workflow for customized ICESat-2 ATL06 elevations captures seasonal mountain snow depths at sub-kilometer scale
- Blowing snow contributions to the Arctic snow-on-sea ice budget using ICESat-2 observations
- Assessing the impact of meteorological forcing and its uncertainty on snow modeling and reanalysis