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UAVs are playing an increasingly important role in the field of wildernessrescue by virtue of their flexibility. This paper proposes a fusion of UAVvision technology and satellite image analysis technology for active wildfiresdetection and road networks extraction of wildfire areas and real-time dynamicescape route planning for people in distress. Firstly, the fire source locationand the segmentation of smoke and flames are targeted based on Sentinel 2satellite imagery. Secondly, the road segmentation and the road conditionassessment are performed by D-linkNet and NDVI values in the central area ofthe fire source by UAV. Finally, the dynamic optimal route planning for humansin real time is performed by the weighted A* algorithm in the road network withthe dynamic fire spread model. Taking the Chongqing wildfire on August 24,2022, as a case study, the results demonstrate that the dynamic escape routeplanning algorithm can provide an optimal real-time navigation path for humansin the presence of fire through the information fusion of UAVs and satellites.

Active Wildfires Detection and Dynamic Escape Routes Planning for Humans through Information Fusion between Drones and Satellites