The AI model is currently designed to update existing fuel maps, and it can do so in a matter of minutes. But the success of the project also holds promise of using an AI system to produce and update fuel maps from scratch for large regions at risk from wildfires.

This research is part of a larger trend of investigating AI applications for wildfire, including using AI to more quickly estimate fire perimeters. NCAR researchers are also hopeful that AI may be able to help solve other persistent challenges for wildfire behavior modeling. For example, AI may be able to improve our prediction of the ember properties produced by a fire, as well as the likelihood that those embers could cause spot fires. The better we are at predicting fire behavior, the more support we can deliver to fire suppression management to plan their attack strategies and protect their personnel from harm.

We develop tools that predict the behavior of wildfires to help firefighters, local authorities, and resource managers direct their efforts more effectively. Tactically placing firefighting personnel, equipment, and promptly notifying the public saves property, lives, and livelihoods.