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