Characteristics analysis of mining-induced subsidence based on SBAS-InSAR
Aiming at the shortcomings of the traditional surface subsidence monitoring methods in the identification of the in-fluential range of mining subsidence,taking Jianxin Coal Mine as an example,SBAS-InSAR technology was used to the in-terference process of the Sentinel-1A data with a revisit period of 12 d in 30 views covering the study area from 9 December 2021 to 2 June 2022,to obtain the subsidence range of the goaf area,and the spatio-temporal distribution characteristics were analyzed.The results show that there are mainly three subsidence centers in the area,and the deformation influential area is about 3.77 km2;the maximum cumulative subsidence is-530 mm,the maximum annual average deformation rate reaches-266 mm/a;and the sequential subsidence values are consistent with the overall trend of the GNSS measured val-ues.It proves that the short revisit SAR data can dynamically extract the spatio-temporal distribution characteristics of the mining area as well as the sequential change process,which can provide scientific basis for the prevention and control of ge-ological hazards in the mining area.