Abstract: Coal mining-induced geological disasters have a serious impact on the lives and property safety of people in mining areas. Therefore, monitoring the ground deformation of the mining area and inversion of its mining surface parameters to obtain the deformation trend can effectively prevent the occurrence of geological disasters in the mining area. This study selects the Dianping Coal Mine and Fenyuan Coal Mine in Shanxi province as the study area. Based on the Sentinel-1A satellite image data, the small baseline subset (SBAS) method is used to extract the deformation results of the study area. The Okada model is used to invert and analyze the parameters of 5-101 working face, and the inversion results are compared with the measured data through the coal mining and excavation engineering map. Experiment results show that:① The degree of ground deformation caused by coal mining is proportional to the length of coal mining; ② The degree of ground deformation caused by the mining of steeply inclined thick coal seams is greater than the degree of ground deformation caused by nearly horizontal thin coal seams, and it is more likely to cause ground collapse; ③ The Okada model has a higher accuracy in inversion of mining parameters for short, nearly horizontal thin coal seams, indicating that this model is suitable for inversion of mining parameters in this type of coal mine.

Key words: SBAS-InSAR, mining subsidence, Okada model, parameters inversion, mining area collapse