气候变化领域集成服务门户(CCPortal): Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model

CCPortal

DOI	10.1016/j.rse.2020.111663
	Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model
	Chen B.; Li Z.; Yu C.; Fairbairn D.; Kang J.; Hu J.; Liang L.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	Underground mining activities usually induce large surface displacements thus causing serious safety hazards and potential ecological damage. The capability of conventional Interferometric Synthetic Aperture Radar (InSAR) to monitor tectonic movements, volcanic eruptions and city subsidence has been fully demonstrated, but its application to mining subsidence is limited because of the failure caused by localized surface displacements with strong spatial gradients. In this paper, a new method is presented to utilize SAR pixel Offset Tracking (OT) with a single pair of SAR images to resolve three-dimensional (3D) large surface displacements caused by underground coal mining. Coal mining subsidence theory is utilised to analytically separate the vertical and horizontal components. This method is applied to the Daliuta coal mining area in Shaanxi Province, China, where a dense GPS network is available. Results show the RMS differences of OT derived displacements against GPS in both horizontal and vertical directions are in the sub-centimeter level. In addition, a prediction of mining-induced ground movements is performed with the Support Vector Regression algorithm and RMS differences of 12.4, 13.1 and 14.4 cm are observed compared to GPS, in the vertical, easting and northing directions respectively. The framework demonstrated in this paper is not only able to derive the evolution of the 3D large surface displacements with multi-temporal SAR images in a single-geometry, but also has a potential for short-term predication, which can provide early warnings and promote strategic decision-making for engineering management in the process of coal mining. © 2020 The Authors
英文关键词	Coal mining; Deformation monitoring; Pixel offset tracking; Synthetic aperture radar; Time series analysis; Time-varying displacement
语种	英语
scopus关键词	Coal; Coal mines; Cutting machines (mining); Decision making; Global positioning system; Pixels; Radar imaging; Subsidence; Surface measurement; Time series analysis; Tracking radar; Volcanoes; Coal mining; Deformation monitoring; Interferometric synthetic aperture radars; Multi-temporal SAR images; Offset tracking; Support vector regression algorithms; Time varying; Underground mining activities; Synthetic aperture radar; algorithm; coal mining; displacement; GPS; measurement method; model; pixel; spatial variation; subsidence; synthetic aperture radar; three-dimensional modeling; China; Shaanxi
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179426
作者单位	School of Geography and Geomatics and Urban-Rural Planning, Jiangsu Normal University, Xuzhou, 221116, China; School of Engineering, Newcastle University, Newcastle upon Tyne, NE1 7RU, United Kingdom; College of Geological Engineering and Geomatics, Chang'an University, Xi'an, 710054, China; Hunan Province Key Laboratory of Coal Resources Clean-utilization and Mine Environment Protection, Xiangtan, 411201, China
推荐引用方式 GB/T 7714	Chen B.,Li Z.,Yu C.,et al. Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model[J],2020,240.
APA	Chen B..,Li Z..,Yu C..,Fairbairn D..,Kang J..,...&Liang L..(2020).Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model.Remote Sensing of Environment,240.
MLA	Chen B.,et al."Three-dimensional time-varying large surface displacements in coal exploiting areas revealed through integration of SAR pixel offset measurements and mining subsidence model".Remote Sensing of Environment 240(2020).