Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique

doi:10.13474/j.cnki.11-2246.2021.0056

Abstract

Abstract: The conventional time series InSAR is usually limited by few and uneven spatial distributed targets of relative high coherence as well as the variable scatterring characteristics of ground surface. In this paper, the DS-InSAR technique based on coherent matrix eigenvalue decomposition(T-EVD) and Sentinel-1A imagery are employed to obtain and analyze the surface subsidence characteristics of Xuzhou Peibei mining region during the period from January 2017 to December 2018. Compared with the traditional time series InSAR method, the advantages of DS-InSAR are yielded by significantly increasing monitoring points and corresponding uniform spatial distribution, which could better reflect the complex spatial and temporal distribution characteristics of surface subsidence in coal exhausted mining regions and provide technical support for mechanism research. Therefore, DS-InSAR technique has a good application prospect in the surface subsidence monitoring over mining goaf.

Key words: Peibei mining region, eigenvalue decomposition, DS identification, DS-InSAR technique, deformation characteristics analysis

CLC Number:

P237
P258

JIANG Jinxiong, DU Yuling, CHEN Yu, LIU Guang, YAN Shiyong. Monitoring and analysis of surface deformation in Peibei mining region based on DS-InSAR technique[J]. Bulletin of Surveying and Mapping, 2021, 0(2): 117-121.

References

[1] 米家鑫, 张绍良, 侯湖平, 等. 煤炭去产能对矿区生态环境的影响研究[J]. 中国矿业, 2017, 26(8):86-92.
[2] 赵淑英. 煤炭开采对生态环境的破坏及防治措施[J]. 矿业科学技术, 2003(2):3-5.
[3] 苏继红, 董杰, 刘文玉, 等. 煤炭资源型城市景观生态规划研究[J]. 煤炭工程, 2011, 1(7):24-25.
[4] 肖儒雅, 何秀凤.时序InSAR水库大坝形变监测应用研究[J].武汉大学学报(信息科学版),2019, 44(9):1334-1341.
[5] 武丽梅, 金丽华, 季碗栎. 结合SBAS技术的鲁西南地区地面沉降监测[J]. 测绘通报, 2019(1):108-113.
[6] 邱亚辉,别伟平,薄志毅,等.基于InSAR的城市地下轨道交通沉降与灾害监测[J].测绘通报,2020(2):107-112.
[7] AO M, ZHANG L, SHI X G, et al. Measurement of the three-dimensional surface deformation of the Jiaju landslide using a surface-parallel flow model[J]. Remote Sensing Letters, 2019, 10(8):776-785.
[8] VILLARROEL C D, BELIVEAU G T, FORTE A P, et al. DInSAR for a regional inventory of active rock glaciers in the dry andes mountains of Argentina and Chile with Sentinel-1 data[J]. Remote Sensing, 2018, 10(10):1-21.
[9] 陆燕燕, 柯长青,陈德良, 等.PS-InSAR在沛县矿区地表沉降监测中的应用[J].地理空间信息, 2016, 14(5):96-99.
[10] LI M, ZHANG L, LIAO M, et al. Detection of coal-mining-induced subsidence and mapping of the resulting deformation using time series of ALOS-PALSAR data[J]. Remote Sensing Letters, 2016, 7(9):855-864.
[11] 李达, 邓喀中, 高晓雄, 等. 基于SBAS-InSAR的矿区地表沉降监测与分析[J]. 武汉大学学报(信息科学版), 2018,43(10):1531-1537.
[12] MA F H, JIANG S S, SUN C Y. Application of PSInSAR in monitoring land subsidence in Yanshan mining area[J]. Journal of Applied Sciences, 2018, 36(6):969-977.
[13] 蒋弥, 丁晓利, 何秀凤, 等. 基于快速分布式目标探测的时序雷达干涉测量方法:以Lost Hills油藏区为例[J]. 地球物理学报, 2016, 59(10):3592-3603.
[14] ZHANG Z, WANG C, WANG M, et al. Surface deforma-tion monitoring in Zhengzhou city from 2014 to 2016 using time-series InSAR[J]. Remote Sensing, 2018, 10(11):1-17.
[15] FORNARO G, VERDE S, REALE D, et al. CAESAR:an approach based on covariance matrix decomposition to improve multibaseline-multitemporal interferometric SAR processing[J]. IEEE Transactions on Geoscience & Remote Sensing, 2015, 53(4):2050-2065.
[16] CAO N, LEE H, JUNG H C. A phase-decomposition-based PS-InSAR processing method[J]. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54(2):1074-1090.
[17] TANG Y, ZHANG Z, WANG C, et al. The deformation analysis of Wenjiagou giant landslide by the distributed scatterer interferometry technique[J]. Landslides, 2018, 15(2):347-357.
[18] SUN Q S, JIANG L M, JIANG M, et al. Monitoring coastal reclamation subsidence in Hong Kong with distributed scatterer interferometry[J]. Remote Sensing, 2018, 10(11):1-25.
[19] FERRETTI A, FUMAGALLI A, NOVALI F, et al. A new algorithm for processing interferometric data-stacks:SqueeSAR[J]. IEEE Transactions on Geoscience & Remote Sensing, 2011, 49(9):3460-3470.
[20] ANDREW H, ZEBKER H A. Phase unwrapping in three dimensions with application to InSAR time series[J]. Journal of the Optical Society of America A Optics Image Science & Vision, 2007, 24(9):2737-2747.