Abstract: In order to investigate and monitor the deformation of the iron mining areas in Zhoutaizi Village, Zhangbaiwan Town, Luanping County and eliminate potential safety hazards, 48 Sentinel1 images from the mining areas is analyzed by using the DSCSInSAR (distribute scatterercoherent scatterer InSAR) technique that developed based on the time series CSInSAR (coherent scatterer InSAR) technique. Firstly, AD test is used to identify the statistically homogeneous pixels, and then the optimal phase is estimated based on the eigenvalue decomposition algorithm of the covariance matrix； Finally, the surface deformation results of the iron mining areas are obtained through the calculation of timeseries deformation. The results show that: The annual mean deformation rates in the study area range from -34.50 to 24.50 mm/a; Most of the mining areas have different degrees of subsidence, among them, Zhoutaizi Village and the mining area near the roadside have the largest deformation values and Yaolinggou mining area has a significant uplift； The maximum settlement and maximum uplift reached 34.00 mm and 24.03 mm respectively. These results are in good agreeement with those of the four local GPS monitoring points. Compared with CSInSAR, this technique greatly improves the density of the point targets and the quality of the interferograms.

Key words: deformation monitoring in mining area, InSAR, distributed scatterer, homogeneous pixels, optimal phase