LSU Department of Environmental Sciences Professor Supratik Mukhopadhyay is working
with a team of experts in AI and wildfire technology for more accurate wildfire detection
and prediction.
In DeepFire, systems of wildfire prediction and detection work in tandem. The technology predicts locations of potential fires by examining satellite and
weather station data, as well as information about previous fire behavior.
“Our system combines a prediction system, a detection system, and a spread modeling
system that cooperate with each other,” Mukhopadhyay said. “This enables us to pinpoint
our detection system to areas that are predicted to have a high risk of wildfire and
deploy resources accordingly.”
Student research has been invaluable to creating and continually improving this technology,
Mukhopadhyay said.
“The main work on the prediction model was done by LSU Stamps Scholar Dylan Wichman
who graduated in computer science,” he said. “The main work on the detection model
was done by Robert DiBiano who graduated with a PhD from LSU.” DiBiano received his
PhD in Artificial Intelligence, Machine Learning and Computer Vision.
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