WISP reformulates next-day active fire forecasting as point-set prediction and reports 38.2% AP, 53.4% FRP-weighted coverage, and 54.1% localization within 5 km on a global held-out test set.
Uncertainty-aware deep learning for wildfire danger forecasting.preprint
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FireScope trains a VLM on US data to output wildfire risk rasters with reasoning traces and shows improved cross-continental performance on European events compared with prior approaches.
citing papers explorer
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Set Prediction for Next-Day Active Fire Forecasting
WISP reformulates next-day active fire forecasting as point-set prediction and reports 38.2% AP, 53.4% FRP-weighted coverage, and 54.1% localization within 5 km on a global held-out test set.
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FireScope: Wildfire Risk Raster Prediction with a Chain-of-Thought Oracle
FireScope trains a VLM on US data to output wildfire risk rasters with reasoning traces and shows improved cross-continental performance on European events compared with prior approaches.