Anping Zeng

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

This paper proposes a physically aligned prediction framework named FWI-MSNet, using 18 years of synchronized observation data from the Huitong Ecological Station in China to construct a multi-scale feature system, selecting 21 physically relevant key features, including core indicators of the Forest Fire Weather Index...