- C51A-05: Assimilating Interferometric Phase Data from UAVSAR and Sentinel-1 for Snow Water Equivalent Estimation: Insights from the SnowEx Campaign
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NOLA CC
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Maya Hildebrand, UCLA (First Author, Presenting Author)
Steven Margulis, UCLA
Xiaolan Xu, Jet Propulsion Laboratory, California Institute of Technology
Rashmi Shah, Jet Propulsion Laboratory, California Institute of Technology
Hans-Peter Marshall, Boise State University
Elias Deeb, U.S. Army Corps of Engineers
Manuela Girotto, University of California Berkeley
Simon Yueh, Jet Propulsion Laboratory, California Institute of Technology
Snow that accumulates in the mountains each winter is a major water source for over one billion people. But scientists still struggle to measure how much water is stored in the snow. This study explores a new way to estimate snow water using radar signals from satellites and aircraft. We tested this method in the Banner Summit region of Idaho using data from NASA’s SnowEx campaign, which provided both radar observations and detailed ground-based snow measurements. The goal is to better track how snow changes over time and improve our ability to plan for future water needs. This work lays the foundation for using phase data from new satellite missions, including NASA's recently launched NISAR, to enhance snow monitoring and support better water forecasting in the future.
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