Accelerating Wildfire Hazard Mapping Across Canada with an AI Surrogate Modelling Framework

Researchers have developed an AI surrogate modelling framework to accelerate wildfire hazard mapping across Canada, reducing computation time from days or weeks to seconds. The framework uses a multi-task deep learning model trained on national-scale data to emulate burn probability, mean fire intensity, and mean rate of spread, while incorporating domain-specific metrics and counterfactual evaluation protocols.