UCLA Researchers Develop AI-Powered System to Predict Wildfire Fuel Sources
In a breakthrough that could transform wildfire preparedness, researchers at the UCLA Samueli School of Engineering and their collaborators have unveiled FuelVision an artificial intelligence system that uses satellite imagery to rapidly identify wildfire fuel sources with remarkable accuracy.
The system, detailed in the International Journal of Applied Earth Observation and Geoinformation demonstrated 77% mapping accuracy in validation tests using data from two of California’s most destructive wildfires in 2021 the Dixie and Caldor fires.
Unlike traditional models that depend heavily on expert input and can take longer to process, FuelVision is designed to work autonomously, generating wildfire fuel maps quickly using readily available satellite data.
“We’ve built a tool that let...









