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Abstract: Predicting Post-Fire Soil Burn Severity from Pre-Fire Conditions Using Machine Learning in the Northwestern United States (AGU25)

Predicting Post-Fire Soil Burn Severity from Pre-Fire Conditions Using Machine Learning in the Northwestern United States

Subhankar Das1, Mariana Dobre2, Roger Lew2, Sarah Lewis3, Erin S Brooks2, Peter Robichaud3, Anurag Srivastava2, Mary Ellen Miller4, Alex Watanabe2 and Marta Basso2, (1)University of Idaho, Department of Soil and Water Systems, Moscow, ID, United States, (2)University of Idaho, Department of Soil and Water Systems, Moscow, United States, (3)USDA Forest Service Rocky Mountain Research Station, Moscow, United States, (4)Michigan Technological University, Michigan Tech Research Institute, Ann Arbor, MI, United States
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