Enhancing Wildfire Monitoring Accuracy with Artificial Intelligence and Geospatial Data: Insights from the Palisades Fire

This research paper explores the January 7th Palisades wildfire in California, focusing on the integration of geospatial data and artificial intelligence for real-time fire detection and impact monitoring. The study highlights the limitations of current monitoring systems and proposes a framework that leverages remote sensing, satellite imagery, and AI models to improve accuracy, response time, and scalability. By emphasizing efficiency in data collection, species impact tracking, and early warning systems, this work outlines a path toward more resilient wildfire management strategies.