Monitoring and analysis of mining 3D deformation by multi-platform SAR images with the probability integral method

doi:10.1007/s11707-018-0703-2

Front. Earth Sci.

2019, Vol. 13

Issue (1) : 169-179 https://doi.org/10.1007/s11707-018-0703-2

RESEARCH ARTICLE

Monitoring and analysis of mining 3D deformation by multi-platform SAR images with the probability integral method

Meinan ZHENG^1,², Kazhong DENG^1,²(

), Hongdong FAN^1,^2,³, Jilei HUANG⁴

¹. NASG Key Laboratory of Land Enviroment and Disaster Monitoring, China University of Mining and Technology, Xuzhou 221116, China
². Jiangsu Key Laboratory of Resources and Environmental Information Engineering, China University of Mining and Technology, Xuzhou 221116, China
³. State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu 610000, China
⁴. College of Resources and Environment, Henan University of Economics and Law, Zhengzhou 450000, China

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Abstract

Only one-dimensional (1D) deformation along the radar line of sight (LOS) can be obtained using differential interferometry synthetic aperture radar (D-InSAR), and D-InSAR observation is insensitive to deformation in the north direction. This study inferred three-dimensional (3D) deformation of a mining subsidence basin by combining the north-south deformation predicted by a probability integral method with the LOS deformation obtained by D-InSAR. The 15235 working face in Fengfeng mining area (Hebei Province, China) was used as the object of study. The north-south horizontal movement was predicted by the probability integral method according to the site’s geological and mining conditions. Then, the vertical and east-west deformation fields were solved by merging ascend-orbit RadarSAT-2, descend-orbit TerraSAR, and predicted north-south deformation based on a least squares method. Comparing with the leveling data, the results show that the vertical deformation accuracy of the experimental method is better than the inversed vertical deformation neglecting the horizontal deformation. Finally, the impact of the relationship between the azimuth of the working face and the SAR imaging geometry on the monitoring of the mining subsidence basin was analyzed. The results can be utilized in monitoring mining subsidence basins by single SAR image sources.

Keywords D-InSAR ascend-descend orbit data subsidence prediction probability integral method 3D deformation

Corresponding Author(s): Kazhong DENG

Just Accepted Date: 07 June 2018 Online First Date: 01 August 2018 Issue Date: 25 January 2019

Cite this article:

Meinan ZHENG,Kazhong DENG,Hongdong FAN, et al. Monitoring and analysis of mining 3D deformation by multi-platform SAR images with the probability integral method[J]. Front. Earth Sci., 2019, 13(1): 169-179.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-018-0703-2
https://academic.hep.com.cn/fesci/EN/Y2019/V13/I1/169

Tab.1 SAR imaging geometry parameters

Tab.2 Interferometric pairs parameters

Fig.1 Study area overview. This image shows the coverage of RadarSAT-2 and TerraSAR images in the study area (left), detailed study area information (right) including the location of the working face (black box), the mining area (purple box), the goafs (red boxes), and the observation station (yellow point). 1?39 are the corresponding point numbers.

Fig.2 The geometric relationship between underground coal mining, surface target movement, and satellite imaging geometry.

Fig.3 (a) and (b) are the vertical deformation obtained by RadarSAT-2 and TerraSAR, respectively; (c) the difference in the vertical displacements derived from ascending TerraSAR and descending RadarSAT-2 if the observed land deformation is assumed to be vertical; (d) the corresponding histogram of (c).

Fig.4 (a) and (b) are horizontal movement of the north-south direction and east-west direction (unit: mm) predicted by the probability integration method.

Fig.5 (a) and (b) are the vertical deformation and east-west horizontal movement obtained through experimental method.

Fig.6 Verification of results.

Tab.3 Accuracy comparison

Fig.7 Schematic diagram of the geometric relationship between the working face and a SAR image.

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