Understanding mining-induced surface movement and fissures is critical for environmental
protection and geological prevention. In this study, image recognition algorithms, satellite remote
sensing and unmanned aerial vehicle photogrammetry (UAVP) were combined to identify surface
movement and fissures caused by mining, and a case study was conducted in a coalmine in western
China, and the following conclusions were obtained.