The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: Near-Real-Time Soil Moisture Prediction Using Thermal Remote Sensing And Machine Learning (AGU25)

Near-Real-Time Soil Moisture Prediction Using Thermal Remote Sensing And Machine Learning

Anush Kumar Kumar Kasaragod1, Jobin Thomas2, Thomas Oommen3, Ryan Williams4, Richard Dobson5, Michael Cole6 and Paramsothy Jayakumar6, (1)University of Mississippi Main Campus, Geology and Geological Engineering, University, MS, United States, (2)Michigan Technological University, Geological and Mining Engineering and Sciences, Houghton, United States, (3)University of Mississippi, Geology and Geological Engineering, Oxford, United States, (4)Michigan Technological University, Great Lakes Research Center, Houghton, United States, (5)Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, United States, (6)U.S. Army DEVCOM Ground Vehicle Systems Center, Ann arbor, United States