Monotonic Framework Evaluates Wildfire Risk Signals by Operational Load, Not Prediction Accuracy
Researchers propose a monotonic evaluation framework for wildfire risk systems that measures whether higher predicted risk scores consistently correspond to increased operational load — such as number of fires, intervention time, and deployed resources — rather than relying on traditional metrics like F1-score or IoU.