InSAR矿区地表三维形变监测与预计研究进展

doi:10.11947/j.AGCS.2019.20180188

测绘学报 ›› 2019, Vol. 48 ›› Issue (2): 135-144.doi: 10.11947/j.AGCS.2019.20180188

• 综述 • 下一篇

InSAR矿区地表三维形变监测与预计研究进展

朱建军^1,2, 杨泽发^1,2, 李志伟^1,2

1. 中南大学地球科学与信息物理学院, 湖南长沙 410083;
2. 有色金属成矿预测与地质环境监测教育部重点实验室(中南大学), 湖南长沙 410083

收稿日期:2018-04-23 修回日期:2018-08-20 出版日期:2019-02-20 发布日期:2019-03-02
通讯作者: 杨泽发 E-mail:yangzf@csu.edu.cn
作者简介:朱建军(1962-),男,教授,博士生导师,研究方向为测量平差与InSAR数据处理。E-mail:zjj@mail.csu.edu.cn
基金资助:
国家自然科学基金（41474008；41474007）；国际（地区）合作与交流项目（41820104005）

Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR

ZHU Jianjun^1,2, YANG Zefa^1,2, LI Zhiwei^1,2

1. School of Geosciences and Info-Physics, Central South University, Changsha 410083, China;
2. Key Laboratory of Metallogenic Prediction of Nonferrous Metals and Geological Environment Monitoring(Central South University), Ministry of Education, Changsha 410083, China

Received:2018-04-23 Revised:2018-08-20 Online:2019-02-20 Published:2019-03-02
Supported by:
The National Natural Science Foundation of China (Nos. 41474008;41474007);The Major International (Regional) Joint Research Project of China (No. 41820104005)

摘要/Abstract

摘要：

首先，介绍了InSAR地表形变监测技术的基本原理和技术特点；然后，对当前InSAR矿区地表三维形变监测方法做了系统性分类，并探讨了各自的优缺点和适用范围；之后，综述了当前InSAR矿区地表三维形变预计方法的研究现状和进展；最后，归纳梳理了InSAR矿区三维形变监测预计在多源数据融合和沉降机理分析等方面的前沿问题。

关键词: InSAR, 开采沉陷, 地质灾害, 综述

Abstract:

This paper firstly presents the basic principle of InSAR techniques in monitoring surface deformations. Then, the existing InSAR-based approaches for retrieving mining-induced 3D displacements are classified, and their technique features and application scopes are also analyzed. Subsequently, the research progress of InSAR-based 3D deformation prediction of mining areas is demonstrated. Finally, some potential research topics in retrieving and predicting mining-induced 3-D displacements using InSAR, such as integrating multi-source data and the analysis of mining subsidence mechanism, are demonstrated.

Key words: InSAR, mining subsidence, geo-hazards, review

中图分类号:

P237
TD17

朱建军, 杨泽发, 李志伟. InSAR矿区地表三维形变监测与预计研究进展[J]. 测绘学报, 2019, 48(2): 135-144.

ZHU Jianjun, YANG Zefa, LI Zhiwei. Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR[J]. Acta Geodaetica et Cartographica Sinica, 2019, 48(2): 135-144.

参考文献

[1] 何国清, 杨伦, 凌赓娣,等. 矿山开采沉陷学[M]. 徐州:中国矿业大学出版社, 1991. HE Guoqing, YANG Lun, LING Gengdi, et al. Mining subsidence science[M]. Xuzhou:China University of Mining and Technology Press, 1991.
[2] BAMLER R, HARTL P. Synthetic aperture radar interferometry[J]. Inverse Problems, 1998, 14(4):R1-R54.
[3] GABRIEL A K, GOLDSTEIN R M, ZEBKER H A. Mapping small elevation changes over large areas:differential radar interferometry[J]. Journal of Geophysical Research, 1989, 94(B7):9183-9191.
[4] CARNEC C, MASSONNET D, KING C. Two examples of the use of SAR interferometry on displacement fields of small spatial extent[J]. Geophysical Research Letters, 1996, 23(24):3579-3582.
[5] CARNEC C, DELACOURT C. Three years of mining subsidence monitored by SAR interferometry, near Gardanne, France[J]. Journal of Applied Geophysics, 2000, 43(1):43-54.
[6] COLESANTI C, LE MOUELIC S, BENNANI M, et al. Detection of mining related ground instabilities using the permanent scatterers technique:a case study in the east of France[J]. International Journal of Remote Sensing, 2005, 26(1):201-207.
[7] GE Linlin, CHANG H C, RIZOS C. Mine subsidence monitoring using multi-source satellite SAR images[J]. Photogrammetric Engineering & Remote Sensing, 2007, 73(3):259-266.
[8] NG A H M, GE Linlin, YAN Yueguan, et al. Mapping accumulated mine subsidence using small stack of SAR differential interferograms in the southern coalfield of New South Wales, Australia[J]. Engineering Geology, 2010, 115(1-2):1-15.
[9] 吴立新, 高均海, 葛大庆, 等. 工矿区地表沉陷DInSAR监测试验研究[J]. 东北大学学报(自然科学版), 2005, 26(8):778-782. WU Lixin, GAO Junhai, GE Daqing, et al. Experimental study on surface subsidence monitoring with DInSAR in mining area[J]. Journal of Northeastern University (Natural Science), 2005, 26(8):778-782.
[10] 杨泽发, 朱建军, 李志伟, 等. 联合InSAR和水准数据的矿区动态沉降规律分析[J]. 中南大学学报(自然科学版), 2015, 46(10):3743-3751. YANG Zefa, ZHU Jianjun, LI Zhiwei, et al. Analysis of law of kinematic mining subsidence by integrating InSAR and leveling measurements[J]. Journal of Central South University (Science and Technology), 2015, 46(10):3743-3751.
[11] 尹宏杰, 朱建军, 李志伟, 等. 基于SBAS的矿区形变监测研究[J]. 测绘学报, 2011, 40(1):52-58. YIN Hongjie, ZHU Jianjun, LI Zhiwei, et al. Ground subsidence monitoring in mining area using DInSAR SBAS algorithm[J]. Acta Geodaetica et Cartographica Sinica, 2011, 40(1):52-58.
[12] HANSSEN R F. Radar interferometry:data interpretation and error analysis[M]. Dordrecht:Kluwer Academic, 2001.
[13] 汪云甲. 矿区生态扰动监测研究进展与展望[J]. 测绘学报, 2017, 46(10):1705-1716. DOI:10.11947/j.AGCS.2017.20170358. WANG Yunjia. Research progress and prospect on ecological disturbance monitoring in mining area[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1705-1716. DOI:10.11947/j.AGCS.2017.20170358.
[14] 张勤, 黄观文, 杨成生. 地质灾害监测预警中的精密空间对地观测技术[J]. 测绘学报, 2017, 46(10):1300-1307. DOI:10.11947/j.AGCS.2017.20170453. ZHANG Qin, HUANG Guanwen, YANG Chengsheng. Precision space observation technique for geological hazard monitoring and early warning[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1300-1307. DOI:10.11947/j.AGCS.2017.20170453.
[15] 朱建军, 李志伟, 胡俊. InSAR变形监测方法与研究进展[J]. 测绘学报, 2017, 46(10):1717-1733. DOI:10.11947/j.AGCS.2017.20170350. ZHU Jianjun, LI Zhiwei, HU Jun. Research progress and methods of InSAR for deformation monitoring[J]. Acta Geodaetica et Cartographica Sinica, 2017, 46(10):1717-1733. DOI:10.11947/j.AGCS.2017.20170350.
[16] 廖明生, 林珲. 雷达干涉测量:原理与信号处理基础[M]. 北京:测绘出版社, 2003. LIAO Mingsheng, LIN Hui. Synthetic aperture radar interferometry[M]. Beijing:Surveying and Mapping Press, 2003.
[17] ZEBKER H A, VILLASENOR J. Decorrelation in interferometric radar echoes[J]. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(5):950-959.
[18] FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geoscience and Remote Sensing, 2001, 39(1):8-20.
[19] BERARDINO P, FORNARO G, LANARI R, et al. A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms[J]. IEEE Transactions on Geoscience and Remote Sensing, 2002, 40(11):2375-2383.
[20] HOOPER A, BEKAERT D, SPAANS K, et al. Recent advances in SAR interferometry time series analysis for measuring crustal deformation[J]. Tectonophysics, 2012(514-517):1-13.
[21] FAN Hongdong, GAO Xiaoxiong, YANG Junkai, et al. Monitoring mining subsidence using a combination of phase-stacking and offset-tracking methods[J]. Remote Sensing, 2015, 7(7):9166-9183.
[22] SAMSONOV S, D'OREYE N, SMETS B. Ground deformation associated with post-mining activity at the French-German border revealed by novel InSAR time series method[J]. International Journal of Applied Earth Observation and Geoinformation, 2013, 23:142-154.
[23] ABDIKAN S, ARIKAN M, SANLI F B, et al. Monitoring of coal mining subsidence in peri-urban area of Zonguldak City (NW Turkey) with persistent scatterer interferometry using ALOS-PALSAR[J]. Environmental Earth Sciences, 2014, 71(9):4081-4089.
[24] XING Xuemin, ZHU Jianjun, WANG Yongzhe, et al. Time series ground subsidence inversion in mining area based on CRInSAR and PSInSAR integration[J]. Journal of Central South University, 2013, 20(9):2498-2509.
[25] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. Deriving dynamic subsidence of coal mining areas using InSAR and logistic model[J]. Remote Sensing, 2017, 9(2):125.
[26] ZHANG Zhengjia, WANG Chao, TANG Yixian, et al. Subsidence monitoring in coal area using time-series InSAR combining persistent scatterers and distributed scatterers[J]. International Journal of Applied Earth Observation and Geoinformation, 2015, 39:49-55.
[27] BECHOR N B D, ZEBKER H A. Measuring two-dimensional movements using a single insar pair[J]. Geophysical Research Letters, 2006, 33(16):L16311.
[28] HE Liming, WU Lixin, LIU Shanjun, et al. Mapping two-dimensional deformation field time-series of large slope by coupling DInSAR-SBAS with MAI-SBAS[J]. Remote Sensing, 2015, 7(9):12440-12458.
[29] WANG Zhiwei, YU Shengwen, TAO Qiuxiang, et al. A method of monitoring three-dimensional ground displacement in mining areas by integrating multiple InSAR methods[J]. International Journal of Remote Sensing, 2018, 39(4):1199-1219.
[30] JO M J, JUNG H S, WON J S, et al. Measurement of slow-moving along-track displacement from an efficient multiple-aperture SAR interferometry (MAI) stacking[J]. Journal of Geodesy, 2015, 89(5):411-425.
[31] MICHEL R, AVOUAC J P, TABOURY J. Measuring ground displacements from SAR amplitude images:application to the Landers Earthquake[J]. Geophysical Research Letters, 1999, 26(7):875-878.
[32] ZHAO Chaoying, LU Zhong, ZHANG Qin. Time-series deformation monitoring over mining regions with SAR intensity-based offset measurements[J]. Remote Sensing Letters, 2013, 4(5):436-445.
[33] HUANG Jilei, DENG Kazhong, FAN Hongdong, et al. An improved pixel-tracking method for monitoring mining subsidence[J]. Remote Sensing Letters, 2016, 7(8):731-740.
[34] CHEN Bingqian, DENG Kazhong, FAN Hongdong, et al. Combining SAR interferometric phase and intensity information for monitoring of large gradient deformation in coal mining area[J]. European Journal of Remote Sensing, 2015, 48(1):701-717.
[35] YAN Shiyong, LIU Guang, DENG Kazhong, et al. Large deformation monitoring over a coal mining region using pixel-tracking method with high-resolution Radarsat-2 imagery[J]. Remote Sensing Letters, 2016, 7(3):219-228.
[36] 胡俊. 基于现代测量平差的InSAR三维形变估计理论与方法[D]. 长沙:中南大学, 2013. HU Jun. Theory and method of estimating three-dimensional displacement with InSAR based on the modern surveying adjustment[D]. Changsha:Central South University, 2013.
[37] NG A H M, GE Linlin, ZHANG Kui, et al. Deformation mapping in three dimensions for underground mining using InSAR-southern highland coalfield in New South Wales, Australia[J]. International Journal of Remote Sensing, 2011, 32(22):7227-7256.
[38] 祝传广, 邓喀中, 张继贤, 等. 基于多源SAR影像矿区三维形变场的监测[J]. 煤炭学报, 2014, 39(4):673-678. ZHU Chuanguang, DENG Kazhong, ZHANG Jixian, et al. Three-dimensional deformation field detection based on multi-source SAR imagery in mining area[J]. Journal of China Coal Society, 2014, 39(4):673-678.
[39] ZHENG Meinan, DENG Kazhong, FAN Hongdong, et al. Monitoring and analysis of mining 3D deformation by multi-platform SAR images with the probability integral method[J]. Frontiers of Earth Science, 2018. DOI:10.1007/s11707-018-0703-2.
[40] PENG S S. Surface subsidence engineering[M]. Metallurgy:Littleton Society for Mining, 1992.
[41] LI Zhiwei, YANG Zefa, ZHU Jianjun, et al. Retrieving three-dimensional displacement fields of mining areas from a single InSAR pair[J]. Journal of Geodesy, 2015, 89(1):17-32.
[42] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. Deriving time-series three-dimensional displacements of mining areas from a single-geometry InSAR dataset[J]. Journal of Geodesy, 2018, 92(5):529-544.
[43] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. Retrieving 3-D large displacements of mining areas from a single amplitude pair of SAR using offset tracking[J]. Remote Sensing, 2017, 9(4):338.
[44] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. An alternative method for estimating 3-D large displacements of mining areas from a single SAR amplitude pair using offset tracking[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(7):3645-3656.
[45] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. Time-series 3-D mining-induced large displacement modeling and robust estimation from a single-geometry SAR amplitude data set[J]. IEEE Transactions on Geoscience and Remote Sensing, 2018, 56(6):3600-3610.
[46] RAUCOULES D, DE MICHELE M, MALET J P, et al. Time-variable 3D ground displacements from high-resolution synthetic aperture radar (SAR). application to La Valette landslide (South French Alps)[J]. Remote Sensing of Environment, 2013, 139:198-204.
[47] HU J, LI Z W, DING X L, et al. Resolving three-dimensional surface displacements from InSAR measurements:a review[J]. Earth-Science Reviews, 2014, 133:1-17.
[48] FAN H D, CHENG D, DENG K Z, et al. Subsidence monitoring using D-InSAR and probability integral prediction modelling in deep mining areas[J]. Survey Review, 2015, 47(345):438-445.
[49] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. InSAR-based model parameter estimation of probability integral method and its application for predicting mining-induced horizontal and vertical displacements[J]. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(8):4818-4832.
[50] DIAO Xinpeng, WU Kan, HU Dahe, et al. Combining differential SAR interferometry and the probability integral method for three-dimensional deformation monitoring of mining areas[J]. International Journal of Remote Sensing, 2016, 37(21):5196-5212.
[51] WANG Lei, LI Nan, ZHANG Xianni, et al. Full parameters inversion model for mining subsidence prediction using simulated annealing based on single line of sight D-InSAR[J]. Environmental Earth Sciences, 2018, 77(5):161.
[52] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. An extension of the InSAR-based probability integral method and its application for predicting 3-D mining-induced displacements under different extraction conditions[J]. IEEE Transactions on Geoscience and Remote Sensing, 2017, 55(7):3835-3845.
[53] YANG Zefa, LI Zhiwei, ZHU Jianjun, et al. An InSAR-based temporal probability integral method and its application for predicting mining-induced dynamic deformations and assessing progressive damage to surface buildings[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11(2):472-484.
[54] CHEN Bingqian, DENG Kazhong, FAN Hongdong, et al. Large-scale deformation monitoring in mining area by D-InSAR and 3D laser scanning technology integration[J]. International Journal of Mining Science and Technology, 2013, 23(4):555-561.
[55] FROESE C R, MEI Shilong. Mapping and monitoring coal mine subsidence using LiDAR and InSAR[R]. Ottawa:Canadian Geotechnical Society, 2008:1127-1133.

InSAR矿区地表三维形变监测与预计研究进展

Recent progress in retrieving and predicting mining-induced 3D displace-ments using InSAR

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