Prediction of Forest-Fire Occurrence in Eastern China Utilizing Deep Learning and Spatial Analysis
Jing Li,
Duan Huang,
Chuxiang Chen
et al.
Abstract:Forest fires are a major natural calamity that inflict substantial harm on forest resources and the socio-economic landscape. The eastern region of China is particularly susceptible to frequent forest fires, characterized by high population density and vibrant economic activities. Precise forecasting in this area is essential for devising effective prevention strategies. This research utilizes a blend of kernel density analysis, autocorrelation analysis, and the standard deviation ellipse method, augmented by … Show more
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