Monitoring Mining Subsidence Using A Combination ofPhase-Stacking and Offset-Tracking Methods

Remote Sensing

卷:7

Yang Yu¹  Xiaoxiong Gao¹  Junkai Yang¹  Kazhong Deng²  Hongdong Fan³ 

[1] Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, China;

[2] NASG Key Laboratory of Land and Environment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China;

[3] School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, China;

关键词: phase-stacking;    sub-pixel offset-tracking;    D-InSAR;    large deformation gradient;    prediction of mining subsidence;    three-dimensional deformation;   

DOI  :  10.3390/rs70709166

来源: DOAJ

【 摘 要 】

An approach to study the mechanism of mining-induced subsidence, using a combination of phase-stacking and sub-pixel offset-tracking methods, is reported. In this method, land subsidence with a small deformation gradient was calculated using time-series differential interferometric synthetic aperture radar (D-InSAR) data, whereas areas with greater subsidence were calculated by a sub-pixel offset-tracking method. With this approach,time-series data for mining subsidence were derived in Yulin area using 11 TerraSAR-X (TSX) scenes from 13 December 2012 to 2 April 2013. The maximum mining subsidence and velocity values were 4.478 m and 40 mm/day, respectively, which were beyond the monitoring capabilities of D-InSAR and advanced InSAR. The results were compared with the GPS field survey data, and the root mean square errors (RMSE) of the results in the strike and dip directions were 0.16 m and 0.11 m, respectively. Four important results were obtained from the time-series subsidence in this mining area: (1) the mining-induced subsidence entered the residual deformation stage within about 44 days; (2) the advance angle of influence changed from 75.6° to 80.7°; (3) the prediction parameters of mining subsidence; (4) three-dimensional deformation. This method could be used to predict the occurrence of mining accidents and to help in the restoration of the ecological environment after mining activities have ended.

【 授权许可】

Unknown