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Abstract: Deep Learning of Seasonal Peak Snow Water Content of Global Boreal Forest and Arctic using Spaceborne L-band Radiometry (AGU25)

Deep Learning of Seasonal Peak Snow Water Content of Global Boreal Forest and Arctic using Spaceborne L-band Radiometry

Divya Kumawat1,2, Ardeshir Ebtehaj2,3, Sujay V Kumar4 and Andreas Colliander5, (1)University of Minnesota Twin Cities, Minneapolis, MN, United States, (2)St. Anthony Falls Laboratory, Department of Civil Environmental and Geo- Engineering, Minneapolis, United States, (3)University of Minnesota Twin Cities, Minneapolis, United States, (4)NASA Goddard Space Flight Center, Greenbelt, United States, (5)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States
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