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Abstract: Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires (AGU25)

Assessment of deep learning models integrated with weather and environmental variables for wildfire spread prediction and a case study of the 2023 Maui fires

Yingjie Hu1, Jiyeon Kim2, Negar Elhami Khorasani3, Kai Sun2 and Ryan Zhenqi Zhou2, (1)University at Buffalo, Buffalo, NY, United States, (2)University at Buffalo, Buffalo, United States, (3)State University of NY at Buffalo, Department of Civil, Structural, and Environmental Engineering, Buffalo, United States