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David Shean
University of WashingtonMeeting roles in:
Mapping buried ice and quantifying degradation rates for the most dangerous moraine dams in Nepal using fused Sentinel-1 InSAR and feature tracking
Assessing SAR satellite snow retrievals in the San Juan Mountains, Colorado
Advancing Multi-Sensor Fusion for Vegetation Structure Mapping: A Physics-based Simulation, Processing, and Analysis framework for Spaceborne LiDAR and Optical Stereo Images
Multi-modal 3D satellite data processing, correction, and fusion approaches for STV
A global analysis of annual snowmelt runoff onset for the past decade: geographic controls, interannual variability, and implications for basin-scale water resources
NASA Surface Topography & Vegetation (STV) Precursor Coincident Datasets: Open-source tools and analysis-ready data for contemporaneous, co-registered satellite and airborne elevation measurements
Accurate snow depth predictions across the Western U.S. using a deep learning model trained on 7 years of airborne lidar snow depth measurements
Snow depth from satellite laser altimetry: Recent progress with ICESat-2 and potential for EDGE
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