Abstract: To effectively address forest fires, remote sensing technology is widely used for fire monitoring and prediction. Remote sensing technology offers rapid data collection, real-time dynamic monitoring, and broad coverage, which enhances the timeliness and accuracy of fire response, thereby better safeguarding public safety and property. Using CiteSpace for visual analysis of research outcomes in remote sensing and forest fires, the current application research and methodologies are summarized, highlighting ing key areas and future directions to provide a reference for future research in this domain. An analysis of relevant literature reveals that the number of publications in this field is growing annually; the correlation among authors is relatively low; research on remote sensing and forest fires primarily focuses on the causes and influencing factors; and recent advancements increasingly integrate remote sensing technology with fire detection algorithms to improve detection accuracy and efficiency.

Key words: remote sensing, forest fires, bibliometric, deep learning, emergency management