Qina Xie

Physically aligned forest fire risk prediction: A deep learning framework coupling fuel and climate multivariate factors

Existing forest fire risk prediction methods often focus on single-element analysis, which makes it difficult to effectively capture the underlying mechanisms of the “fuel-climate” interaction. This paper proposes a physically aligned prediction framework named FWI-MSNet. Using 18 years of synchronized observation data...