Using temporarily coherent point interferometric synthetic aperture radar for land subsidence monitoring in a mining region of western China

Hongdong Fan; Qiang Xu; Zhongbo Hu; Sen Du

doi:10.1117/1.JRS.11.026003

6 April 2017 Using temporarily coherent point interferometric synthetic aperture radar for land subsidence monitoring in a mining region of western China

Hongdong Fan, Qiang Xu, Zhongbo Hu, Sen Du

Author Affiliations +

Journal of Applied Remote Sensing, Vol. 11, Issue 2, 026003 (April 2017). https://doi.org/10.1117/1.JRS.11.026003

Abstract

Yuyang mine is located in the semiarid western region of China where, due to serious land subsidence caused by underground coal exploitation, the local ecological environment has become more fragile. An advanced interferometric synthetic aperture radar (InSAR) technique, temporarily coherent point InSAR, is applied to measure surface movements caused by different mining conditions. Fifteen high-resolution TerraSAR-X images acquired between October 2, 2012, and March 27, 2013, were processed to generate time-series data for ground deformation. The results show that the maximum accumulated values of subsidence and velocity were 86 mm and 162 mm/year, respectively; these measurements were taken above the fully mechanized longwall caving faces. Based on the dynamic land subsidence caused by the exploitation of one working face, the land subsidence range was deduced to have increased 38 m in the mining direction with 11 days’ coal extraction. Although some mining faces were ceased in 2009, they could also have contributed to a small residual deformation of overlying strata. Surface subsidence of the backfill mining region was quite small, the maximum only 21 mm, so backfill exploitation is an effective method for reducing the land subsidence while coal is mined.

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Hongdong Fan, Qiang Xu, Zhongbo Hu, and Sen Du "Using temporarily coherent point interferometric synthetic aperture radar for land subsidence monitoring in a mining region of western China," Journal of Applied Remote Sensing 11(2), 026003 (6 April 2017). https://doi.org/10.1117/1.JRS.11.026003

Received: 3 November 2016; Accepted: 17 March 2017; Published: 6 April 2017

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