Abstract: In order to enhance the accuracy of ground subsidence monitoring in mining areas using SBAS-InSAR technology, based on the Sentinel-1A image data, a certain mining area in Jining City was selected as the research area. The ridge estimation method was used to calculate the SBAS-InSAR deformation model constructed. The accuracy of the results obtained by the ridge regression (RR) estimation and the least squares (LS) estimation methods was verified and compared through the leveling measurement data. The results show that the temporal and spatial evolution patterns of ground subsidence in the mining area obtained by the two methods are consistent, but the maximum cumulative subsidence amounts measured are −128.1 mm and −227.8 mm respectively, indicating a certain difference; the data fitting effect of the RR method is significantly better than that of the LS method, and the average internal consistency accuracies of the two methods are 2.77 mm and 77.66 mm respectively; the relative error between the solution results of the RR method and the leveling data is small, with an average RMSE of 10.5 mm; the time series monitoring results are consistent with the leveling data, while the solution accuracy of the LS method is lower, with an average RMSE of 21.7 mm, and the fluctuation of the time series subsidence trend is relatively large.