Weakly Supervised Fine-Resolution Wildfire Fuel Mapping From Spatially Coarse Labels and Multisource Remote Sensing Data
Accurate large-scale wildfire fuel mapping is essential for fire-risk assessment and ecosystem management, yet fine-resolution training labels remain costly and scarce. This study presents L2HFuelNet, a weakly supervised resolution-enhancement framework that uses spatially inexact 30 m labels to generate 10 m vegetatio...