Forest fire risk mapping using machine learning technique based on GIS and remote sensing data, a case study in Dak Lak province, Vietnam
This study investigates the application of advanced machine learning models, specifically Random Forest, Convolutional Neural Network, and Long Short-Term Memory, in conjunction with geospatial data, to construct a forest fire risk prediction map for Dak Lak province in the Central Highlands of Vietnam.