Monitoring on subsidence due to repeated excavation with DInSAR technology

作     者：Liu Zhenguo Bian Zhengfu Lü Fuxiang Dong Baoquan 

作者机构：School of Environmental Science & Spatial Informatics China University of Mining & Technology Jiangsu Key Laboratory of Resources and Environmental Information Engineering Xishan Coal Electricity Group Co. Ltd. 

出 版 物：《International Journal of Mining Science and Technology》 (矿业科学技术学报（英文版）)

年 卷 期：2013年第23卷第2期

页      面：185-190页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 081901[工学-采矿工程] 0819[工学-矿业工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Natural Science Foundation of China (No. 51174191) the Ministry of Education Innovation Team (No. IRT0865) project supported by the National Science and Technology Ministry (No. 2012BAC10B03) 

主　　题：DInSAR Repeated excavation Corner reflectors Subsidence TerraSAR X 

摘      要：DInSAR technology was used to monitor subsidence caused by underground coal mining activities in mountainous area, with multi source SAR data, including 8 EnviSAT C-band and 4 ALOS L-band, and 4 programmed TerraSAR-X dataset. The results revealed that 2-pass DInSAR technique sometimes failed to retrieve the mining-caused subsidence due to spatial and/or temporal de-correlation. We also noticed that there existed residual topographic phase after the compensation with SRTM DEM, which could almost overwhelm the subsidence information when the perpendicular baseline was relatively large. Based on the mining materials, analysis was made on the shape of subsidence area. For the well geocoded results from TerraSAR-X, confirmed by GPS surveying results of corner reflectors, we tried to extract the advance distance of influence besides the subsidence area. Due to the big deformation gradient over stopingfaces, the X-band SAR data could not capture the maximum value subsidence revealed by GPS survey in our preliminary results, the same as C-band EnviSAT data. This will turn to be our research subject in the next few months.