Surface deformation not only affects the normal livings of local residents,but also causes social and economic losses,especially in coal mining areas.The traditional subsidence monitoring method is time-consuming and laborious,and the subsidence surface information cannot be obtained,making it difficult to evaluate the subsidence hazard.In this paper,based on the influence of high-resolution SAR satellites,per-manent scatterer synthetic aperture radar interferometry(PS-InSAR)was used to monitor the surface sub-sidence of Jincheng Mine in Jincheng City,Shanxi Province from January,2018 to December,2018,and ana-lyze the three-dimensional continuous surface deformation of the area.The results show that the 10 coal mines in Jincheng mining area and their surrounding areas have large three-dimensional surface deforma-tion.The annual average surface deformation rate in the LOS direction in Jincheng mining area ranges from-37 mm/a to 30.3 mm/a.In addition,the support vector machine(SVM)risk assessment and prediction model was established based on the massive PS points obtained by this technology,and the geological haz-ard risk points of residential areas around Jincheng mining area were identified and predicted.The research shows that PS-InSAR technology is feasible to monitor surface deformation and realize comprehensive iden-tification and early warning of geological disasters in mining areas.
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