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  • Presentation | H43A: AI/ML and Remote Sensing for Water and Wetlands: Integrating Spatial Analytics and Participatory Approaches for Climate-Resilient Ecosystem Management II Oral
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  • H43A-08: Global Snow Attribute Mapping Tool (Global‑SAM)
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  • Location Icon217-219
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Author(s):
Nawa Raj Pradhan, US Army Corps of Engineers (First Author, Presenting Author)
Saurav Bhattarai, Jackson State University
Gene Kloss, US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory
Anna Wagner, Cold Regions Research and Engineering Laboratory (CRREL)
Rocky Talchabhadel, Jackson State University
Elias Deeb, U.S. Army Corps of Engineers
Jodi Ryder, US Army Engineer Research and Development Center
Ahmad Tavakoly, US Army Engineer Research and Development Center
Zoe Courville, Cold Regions Research and Engineering Laboratory
Venkataraman (Venkat) Lakshmi, University of Virginia
Michael Paquette, US Army Corps of Engineers Geospatial Research Laboratory
Dhiren Khona, US Army Corps of Engineers Geospatial Research Laboratory
Michael Lewis, US Army Corps of Engineers Geospatial Research Laboratory
Grace Carravone, US Army Engineer Research and Development Center


We developed a global tool that combines satellite snow cover and water equivalent data to estimate downscaled snow depth across landscapes. This helps engineers, planners, and logistics operators assess snow hazards on roads and infrastructure even where ground measurements aren’t available.



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