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Abstract: Self-supervised explainable deep learning to forecast future fire at monthly, seasonal, and annual, landscape scale (AGU25)

Self-supervised explainable deep learning to forecast future fire at monthly, seasonal, and annual, landscape scale

Yuean Qiu, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, United States, David Roy, Michigan State University, Department of Geography, Environment, & Spatial Sciences, and Center for Global Change and Earth Observations, East Lansing, MI, United States, Hankui Zhang, South Dakota State University, Department of Geography and Geospatial Sciences, and Geospatial Sciences Center of Excellence (GSCE), Brookings, United States and Haiyan Huang, Michigan State University, Center for Global Change and Earth Observations, East Lansing, United States
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