Timely Wildfire Perimeter Mapping for Unmanned Aerial Platforms

Wildfire perimeter mapping currently relies on deferred processing of data from manned and orbital platforms using hand-tuned physics-based models. We demonstrate real-time on-board multispectral data processing on cost-efficient unmanned aerial platforms using ML-based semantic segmentation.