Once a forest fire occurs, it can cause severe atmospheric pollution and significant economic and ecological losses. Therefore, conducting research on pre-disaster early warning and risk monitoring of forest fires holds great practical significance. This paper aims to review the current state of forest fire monitoring research in China based on Geographic Information System (GIS) and remote sensing technologies, with the goal of providing references for related studies and practical applications. Using keywords such as "forest fire," "fire monitoring," "GIS," and "remote sensing," a literature search was conducted on the China National Knowledge Infrastructure (CNKI) database. A total of 12 academic journal articles that met the criteria were selected for review. The findings indicate that remote sensing data sources have become increasingly diversified. MODIS, Sentinel-2 satellites, and unmanned aerial vehicles (UAVs) each have distinct advantages and limitations at different monitoring scales. The fusion of multi-source data enables multidimensional analysis of fire causes, although it presents technical challenges. ArcGIS-related methodologies, when integrated with various models, have shown significant effectivenessfor example, statistical models improve prediction accuracy, and the Analytic Hierarchy Process (AHP) is applied in risk assessment. However, issues such as insufficient model generalizability persist. The study regions covered are broad, and the number of publications shows an upward trend. Nonetheless, challenges remain in terms of technological integration and the translation of research outcomes into practical applications. Moving forward, it is necessary to optimize technical approaches to better address forest fire prevention and control, and to provide a scientific basis for forest resource protection and policy formulation.
Chenyi Lin (Wed,) studied this question.