Abstract: The dual-track DInSAR and GIS spatial analysis tools are used to exactly process four scenes C-band Sentinel-1A SAR images of Guotun Coal Mine, obtaining the ground subsidence during 2015-11-27 to 2016-03-02; based on qualitative and quantitative comparison with working face and simultaneous leveling data, a new method for comparative analysis of DInSAR and leveling results is proposed to solve the inconsistency between DInSAR and level monitoring time, then, relative error and absolute error are comprehensively used to verify the accuracy of DInSAR ground subsidence monitoring, so as to avoid the disadvantages of verifying DInSAR results only through absolute error. The results show that C-band dual-track DInSAR can monitor the ground subsidence caused by underground mining and residual deformation of goaf in real time, and the monitored subsidence position and scope are consistent with the actual mining face, and the subsidence change trend is consistent with the mining progress of the face. In the case of high coherence, DInSAR technology can accurately detect ground subsidence changes consistent with level monitoring in space, with monitoring accuracy up to cm level.