Monitoring and analyzing large scale land subsidence over the mining area using small baseline subset InSAR
LIU Yilin1, 2, 3, ZHANG Qin2, HUANG Haijun1, 3, YANG Chengsheng2, ZHAO Chaoying2
1. Key Laboratory of Marine Geology and Environment, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071,China; 2. College of Geology Engineering and Geomatics, Chang’an University, Xi’an 710054, China; 3. University of Chinese Academy of Sciences, Beijing 100049, China
Abstract：Due to large scale earth surface deformation, the application of conventional InSAR technique to monitor land subsidence over the mining area has many limitations, such as low image co-registration accuracy and monitoring capability, small detection scale and unavailable complete mining subsidence information. In view of such a situation, the small baseline subset (SBAS) InSAR technique combined with offset tracking method, fast fourier transformation oversampling technique, filter technique and baseline refine method was studied in this paper to overcome the limitations. On such a basis, the co-registration accuracy, monitoring capability and the accumulative detection scale could be improved considerably. Meanwhile, the complete large scale time series deformation over the mining area from 2008 to 2011 was generated, which is well consistent with field and mining processing data. Furthermore, spatial and temporal evolution law of earth surface over the mining area was obtained by analyzing the cross-section time series deformation.
刘一霖, 张勤, 黄海军, 杨成生, 赵超英. 矿区地表大量级沉陷形变短基线集InSAR监测分析[J]. 国土资源遥感, 2017, 29(2): 144-151.
LIU Yilin, ZHANG Qin, HUANG Haijun, YANG Chengsheng, ZHAO Chaoying. Monitoring and analyzing large scale land subsidence over the mining area using small baseline subset InSAR. REMOTE SENSING FOR LAND & RESOURCES, 2017, 29(2): 144-151.
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2017, Vol. 29 
