Application of PSP-InSAR technology in deformation monitoring along the subway

doi:10.13474/j.cnki.11-2246.2020.0299

Abstract

Abstract: Based on 56 COSMO-SkyMed images, this paper uses PSP-InSAR technology to monitor the land subsidence within 500 m area of Hangzhou Metro Line 2, and makes statistics on the location, area and quantity of the deformation zone. On this basis, the accumulative shape variable points with deformation gradient greater than 0.1 mm/m are extracted and compared. Results show that: ① Surface deformation and deformation gradient are basically the same in space, but there are some differences. Therefore, analyzing the deformation along the subway line from a single point of view will increase the probability of missed and wrong detection. ② PSP-InSAR technology can fully show the distribution characteristics of the settlement on the metro line in space. It is significant for the settlement monitoring during the completion and operation of the subway. It provides basis for the operation and maintenance of the subway.

Key words: land subsidence, PSP-InSAR, deformation monitoring, metro engineering, deformation grad

CLC Number:

P237

JIN Yan, YU Zhiqiang, GAO Xiaoxiong. Application of PSP-InSAR technology in deformation monitoring along the subway[J]. Bulletin of Surveying and Mapping, 2020, 0(9): 132-135.

References

[1] 郭山川,侯湖平,张绍良,等.时序InSAR在城市地铁工程区形变监测中的应用[J].测绘通报,2017(8):92-99.
[2] 姜德才,张永红,张继贤.天津市地铁线不均匀地表沉降InSAR监测[J].遥感信息, 2017,32(6):27-32.
[3] 祝秀星,陈蜜,宫辉力.采用时序InSAR技术监测北京地铁网络沿线地面沉降[J].地球信息科学,2018,20(12):1810-1818.
[4] 朱邦彦,李建成,储征伟,等.利用时序InSAR反演常州市地表沉降速率[J].测绘通报,2016(5):26-31.
[5] 刘凯斯,宫辉力,陈蓓蓓.基于地面沉降监测的地铁运营危险性评价——以北京地铁6号线为例[J].地理与地理信息科学,2018,20(1):128-137.
[6] 罗小军,黄丁发,刘国祥.基于永久散射体雷达差分干涉测量的城市地面沉降研究——以上海地面沉降监测为例[J].测绘通报,2009(4):4-8.
[7] 贾煦,宫辉力,陈蓓蓓,等.不均匀地面沉降对北京地铁15号线运营的影响分析[J].遥感信息,2014,29(6):58-63.
[8] 葛大庆,张玲,王艳,等.上海地铁10号线建设与运营过程中地面沉降效应的高分辨率InSAR监测及分析[J].上海国土资源, 2014, 35(4):62-67.
[9] 范雪婷,李明巨,潘九宝,等.南京地铁沿线地面沉降监测与危险性评价[J].测绘通报,2019(10):123-126,141.
[10] HOOPER A, SEGALL P, ZEBKER H. Persistent scatterer interferometric synthetic aperture radar for crustal deformation analysis, with application to Volcań Alcedo, Galaṕagos[J]. Journal of Geophysical Research Atmospheres, 2007,112(B7):1-21.
[11] PERISSIN D, WANG T. Repeat-pass SAR interferometry with partially coherent targets[J]. IEEE International Geoscience & Remote Sensing Symposium. 2012, 50(1):271-280.
[12] FERRETTI A, PRATI C, ROCCA F. Permanent scatterers in SAR interferometry[J]. IEEE Transactions on Geosci-ence & Remote Sensing, 2000, 38(5):2202-2212.
[13] COSTANTINI M, FALCO S, MALVAROSA F, et al. Persistent scatterer pair interferometry:approach and application to COSMO-SkyMed SAR data[J]. IEEE International Geoscience & Remote Sensing Symposium. 2014,7(7):2869-2879.
[14] 蒋弥,李志伟,丁晓利,等. InSAR可检测的最大最小变形梯度的函数模型研究[J].地球物理学报,2009,52(7):1715-1724.
[15] 赵峰,汪云甲,闫世勇.时序InSAR技术地表沉降监测结果可靠性及沉降梯度分析[J].遥感技术与应用,2015, 30(5):969-979.