时序InSAR技术在大型滑坡监测中的应用
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摘要
综合PS-InSAR和SBAS-InSAR两种时序In SAR技术,对青海省乐都区高家湾滑坡地表变形过程进行遥感监测与分析。通过SBAS-InSAR技术获取该滑坡2003-2010年地表变形数据,分析历史变化情况。利用PS-time工具分析高家湾滑坡2014-2017年PS-InSAR获得的地表变形监测数据,将滑坡地表形变过程划分为线性和非线性,重点分析了地表形变速率、累积位移突变阶段和主裂缝形变情况。研究表明:2003-2010年期间该滑坡地表活动较为稳定,2014-2017年期间该滑坡发生了明显的地表沉降变形且变化趋势较为强烈,与滑坡区实地勘测结果情况一致,较好的证明时序InSAR技术用于滑坡监测的有效性。
The surface deformation process of Gaojiawan landslide in Ledu District of Qinghai Province's Haidong City is monitored and analyzed using remote sensing in combination with PS-InSAR and SBAS-InSAR time series InSAR technologies. The surface deformation data of the landslide from 2003 to 2010 are obtained by SBAS-InSAR technology, and the historical changes are analyzed. The monitoring data of surface deformation obtained by PS-InSAR in 2014-2017 of Gaojiawan landslide are analyzed using PS-time tool. The process of surface deformation of Gaojiawan landslide is divided into linear and nonlinear ones. The surface deformation rate, the abrupt change stage of cumulative displacement and the deformation of main cracks are emphatically analyzed. The study shows that the surface activity of the landslide is stable in the period 2003-2010, and the landslide has obvious surface subsidence deformation and strong change trend in 2014-2017, which is consistent with the results of the field survey of the landslide area. It is proved that the temporal InSAR technique is effective in landslide monitoring.
The surface deformation process of Gaojiawan landslide in Ledu District of Qinghai Province's Haidong City is monitored and analyzed using remote sensing in combination with PS-InSAR and SBAS-InSAR time series InSAR technologies. The surface deformation data of the landslide from 2003 to 2010 are obtained by SBAS-InSAR technology, and the historical changes are analyzed. The monitoring data of surface deformation obtained by PS-InSAR in 2014-2017 of Gaojiawan landslide are analyzed using PS-time tool. The process of surface deformation of Gaojiawan landslide is divided into linear and nonlinear ones. The surface deformation rate, the abrupt change stage of cumulative displacement and the deformation of main cracks are emphatically analyzed. The study shows that the surface activity of the landslide is stable in the period 2003-2010, and the landslide has obvious surface subsidence deformation and strong change trend in 2014-2017, which is consistent with the results of the field survey of the landslide area. It is proved that the temporal InSAR technique is effective in landslide monitoring.
引文
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[12]廖明生,王腾.时间序列INSAR技术与应用[M].北京:科学出版社,2014.
[13]Perssin D.Validation of the sub-metric accurary of vertical positioning of PS's in C band. IEEE Transactions on Geoscience and Romete Sensing etters,2008,5(3):502-206.
[14]Ferreti A,Savio G,et al. Submillimeter Accuracy of InSAR Time Series:Experimental Validation:Experimental validation.IEEE Transactions on Geoscience and Remote Sensing,2007,45(5):1142-1153.
[15]A Ferretti,C Prati,F Rocca.Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience&Remote Sensing,2001,39(1):8-20.
[16]P Berardino,G Fornaro,R Lanari,E Sansosti.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.
[17]R Lanari,O Mora,M Manunta,J Mallorquí,P Berardino,..A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. Geoscience&Remote Sensing IEEE Transactions on,2004,42(7):1377-1386.
[18]P Berardino,G Fornaro,R Lanari,E Sansosti.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.
[19]M. Berti,A. Corsini S. Franceschini,and J. P. Iannacone.Automated classification of Persistent Scatterers Interferometry time series. Nature Hazards and Earth System Sciences,2013,13(8):1945-1958.
[2]王立伟.基于D-InSAR数据分析的高山峡谷区域滑坡位移识别[D].北京科技大学,2015.
[3]王志勇,张金枝.基于INSAR技术的滑坡灾害监测[J].大地测量与地球动力学,2013,33(3):87-91.
[4]杨长江,易祎,赵蓉.基于Sentinel-1数据的时序InSAR技术在滑坡监测方面的应用——以巴东地区为例[J].科技创新与生产力,2017(04):1674-9146.
[5]张诗茄,蒋建军,缪亚敏,等.基于SBAS技术的岷江流域潜在滑坡识别[J].山地学报,2018,36(1):91-97.
[6]F Amelung, DL Galloway, JW Bell, HA Zebker, RJ Laczniak. Sensing the ups and downs of Las Vegas:InSAR reveals structural control of land subsidence and aquifer-system deformation. Geology,1999,27(6):483-486.
[7]DA Schmidt,R Bürgmann. Time-dependent land uplift and subsidence in the Santa Clara valley,California,from a large interferometric synthetic aperture radar data set. Journal of Geophysical Research Solid Earth,2003,108(B9).
[8]ZW Li,XL Ding,GX Liu. Modeling atmospheric effects on InSAR with meteorological and continuous GPS observations:algorithms and some test results. Journal of Atmospheric and Solar-Terrestrial Ph...,2004,66(11):907-917.
[9]HA Zebker,PA Rosen,S Hensley. Atmospheric effects in interferometric synthetic aperture radar surface deformation and topographic maps. Journal of Geophysical Research Solid Earth,1997,102(B4):7547-7563.
[10]许才军,何平,温扬茂,等.InSAR技术及应用研究进展[J].测绘地理信息,2015,40(2):1-9.
[11]C Colesanti,A Ferretti,F Ferrucci,C Prati,F Rocca.Monitoring known seismic faults using the permanent scatterers(PS)technique. IEEE International Geoscience&Remote Sensing..,2000,5:2221-2223 vol.5.
[12]廖明生,王腾.时间序列INSAR技术与应用[M].北京:科学出版社,2014.
[13]Perssin D.Validation of the sub-metric accurary of vertical positioning of PS's in C band. IEEE Transactions on Geoscience and Romete Sensing etters,2008,5(3):502-206.
[14]Ferreti A,Savio G,et al. Submillimeter Accuracy of InSAR Time Series:Experimental Validation:Experimental validation.IEEE Transactions on Geoscience and Remote Sensing,2007,45(5):1142-1153.
[15]A Ferretti,C Prati,F Rocca.Permanent scatterers in SAR interferometry. IEEE Transactions on Geoscience&Remote Sensing,2001,39(1):8-20.
[16]P Berardino,G Fornaro,R Lanari,E Sansosti.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.
[17]R Lanari,O Mora,M Manunta,J Mallorquí,P Berardino,..A small-baseline approach for investigating deformations on full-resolution differential SAR interferograms. Geoscience&Remote Sensing IEEE Transactions on,2004,42(7):1377-1386.
[18]P Berardino,G Fornaro,R Lanari,E Sansosti.A new algorithm for surface deformation monitoring based on small baseline differential SAR interferograms. IEEE Transactions on Geoscience&Remote Sensing,2003,40(11):2375-2383.
[19]M. Berti,A. Corsini S. Franceschini,and J. P. Iannacone.Automated classification of Persistent Scatterers Interferometry time series. Nature Hazards and Earth System Sciences,2013,13(8):1945-1958.
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