Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Senti
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RESEARCH ARTICLE
Interferometric SAR Time Series Analysis for Ground Subsidence of the Abandoned Mining Area in North Peixian Using Sentinel-1A TOPS Data Xixi Liu1,2,3 • Yunjia Wang1,2,3 • Shiyong Yan1,2,3
Received: 1 January 2017 / Accepted: 22 August 2017 Ó Indian Society of Remote Sensing 2017
Abstract The North Peixian mining area of China has rich coal resources, with total proven reserves of 2.37 billion tons. However, the underground coal mining activities have resulted in ground collapse, which has caused serious harm to the environment and threatened the lives and properties of local residents. In this study, 12 Sentinel-1A terrain observation by progressive scans (TOPS) mode acquisitions between 30 July 2015 and 13 May 2016 over the abandoned mining area in North Peixian were analyzed using the interferometric synthetic aperture radar (InSAR) time series method to detect the ground subsidence, with the maximum ground subsidence reaching 83 mm/a and an average value of about 12.7 mm/a. The subsidence results derived from the Sentinel-1A TOPS mode dataset were proven to be effective in investigating and monitoring the ground subsidence in the North Peixian mining area. Compared to the rapid deformation during the ongoing period of mining excavation, the ground subsides slowly in abandoned mining areas and shows a linear relationship with time over a relatively long period of time. Spatial correlation between the subsidence distribution and land cover was found, in that the magnitude of the subsidence in & Shiyong Yan [email protected] 1
School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou 221116, People’s Republic of China
2
Key Laboratory of Land Environment and Disaster Monitoring, National Administration of Surveying Mapping and Geoinformation NASG, Xuzhou 221116, People’s Republic of China
3
Jiangsu Provincial Key Laboratory Resources and Environment Information, Xuzhou 221116, People’s Republic of China
urban areas was smaller than that in rural areas, which is associated with the controlled coal mining activities under buildings, railways, and water bodies. The results demonstrate that Sentinel-1A TOPS SAR images can be used to effectively and accurately detect and monitor ground subsidence in a mining area, which is critically important when investigating land subsidence in a large-scale mining area. Keywords Sentinel-1A TOPS Subsidence Abandoned mining area
Introduction Coal, as the main fossil energy source in China, has made a great contribution to the national economic development. However, exploiting underground coal resources breaks the original stress equilibrium of the surrounding rock and induces strata and ground movements, until reaching a new relatively stable equilibrium state. Underground mining activities can cause geological hazards, environmental deterioration, and engineering infrastructure damage, which threaten the lives and properties of local residents (Malinowska and Hejmanowski 2010; Xiao et al. 2011; Saeidi
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