90 / 2023-05-23 18:55:44

for Monitoring Mining Ground Subsidence

Mining area; Ground subsidence monitoring; TSA-DInSAR； SBAS-InSAR； DInSAR

  When using InSAR to monitor the mining ground subsidence in long-term, the  time-series stacking DInSAR method is cumbersome and inefficient in data processing, while the monitoring results of the SBAS-InSAR method are missing or have low accuracy in the center of large gradient and low coherent subsidence basins. For this issue, the paper utilizes the advantages of SBAS-InSAR and time-series stacking DInSAR, integrates and improves their data processing methods, and proposes a new TSA-DInSAR method for monitoring mining ground subsidence. SBAS-InSAR and TSA-DInSAR were used to process 47 Sentinel-1A SAR images covering a mining area in Heze City, Shandong Province, china, to obtain the ground subsidence information of the mining area from November 6, 2019 to May 11, 2021, and to compare, analyze and verify the accuracy with the monitoring data of 301 benchmark on working face I with serious subsidence and working face II with slight subsidence in the mining area. Research has found that the TSA-DInSAR method significantly improves the data processing efficiency of time-series stacking DInSAR and the ability of SBAS-InSAR method for monitoring ground subsidence in large gradient and low coherence mining areas.