Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration

• Published in: International journal of mining science and technology Vol. 23; no. 4; pp. 555 - 561
• Main Authors: Chen, Bingqian, Deng, Kazhong, Fan, Hongdong, Hao, Ming
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.07.2013; Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining & Technology, Xuzhou 221116, China School of Environment and Spatial Informatics, China University of Mining & Technology, Xuzhou 221116, China
• Subjects: 3D laser scanning; D-InSAR; Deformation; Errors; Inverse distance weighting; Lasers; Mathematical models; Mining; Monitoring; Scanning; Subsidence monitoring; TerraSAR-X; Three dimensional models; TerraSAR-X; 3D laser scanning; Subsidence monitoring; D-InSAR; Inverse distance weighting
• ISSN: 2095-2686
• DOI: 10.1016/j.ijmst.2013.07.014

Large-scale deformation can not be detected by traditional D-InSAR technique because of the limit of its detectable deformation gradient, we propose a method that combines SAR data with point cloud data obtained by 3D laser scanning to improve the gradient of deformation detection. The proposed method takes advantage of high-density of 3D laser scanning point cloud data and its high precision of point positioning after 3D modeling. The specific process can be described as follows: first, large-scale deformation points in the interferogram are masked out based on interferometric coherence; second, the interferogram with holes is unwrapped to obtain a deformation map with holes, and last, the holes in the deformation map are filled with point cloud data using inverse distance weighting algorithm, which will achieve seamless connection of monitoring region. We took the embankment dam above working face of a certain mining area in Shandong province as an example to study large-scale deformation in mining area using the proposed method. The results show that the maximum absolute error is 64mm, relative error of maximum subsidence value is 4.95%, and they are consistent with leveling data of ground observation stations, which confirms the feasibility of this method. The method we presented provides new ways and means for achieving large-scale deformation monitoring by D-InSAR in mining area.