茂县滑坡形变的Sentinel-1数据分析
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摘要
为了获取2017年6月24日四川省茂县特大滑坡滑前的形变信息并分析其诱发因素,该文利用覆盖滑坡区域滑前40景Sentinel-1数据,采用合成孔径雷达干涉点目标分析(IPTA)技术,解算出该滑坡滑前2014年10月9日至2017年6月19日期间形变的年速率及形变的时间序列,并与降雨数据进行了对比分析。对于滑坡区植被覆盖严重的问题,该文利用永久散射体目标(PSC)对影像配准窗口大小及过采样因子不敏感的特性来识别PS点。分析结果表明,茂县滑坡在滑动前两年多时间内具有明显的形变,最大形变速率达到4(cm·a-1),而且在滑坡发生前半个月内形变有突然增大的现象,推测该滑坡滑前持续的强降雨是导致滑坡失稳的主要诱因。
An extraordinary landside occurred in Maoxian,Sichuan province on June 24 th,2017.In order to obtain the pre-slide deformation and induce the trigger factor of this landslide,40 scenes Sentinel-1 data from October 9 th,2014 to June 19 th,2017 were involved.And deformation velocity and pre-slide deformation time series were achieved with synthetic aperture radar interferometric point target analysis(IPTA)technique,which was compared with the pre-slide rainfall data.According to the problems of the heavy vegetation coverage in landslide area,persistent scatterer candidates(PSC)were identified based on the fact that strong scatterers are less sensitive to the window size and oversampling factor in the coregistration procedure.Analytical results indicated that the landslide had obvious deformation in two years before this landslide event.The maximum deformation rate reached 4(cm ·a-1).Moreover,an abrupt increase deformation was monitored in half a month before this landslide event,which can be inferred that the continuous heavy rainfall before landslide event was the main trigger factor of the landslide.
An extraordinary landside occurred in Maoxian,Sichuan province on June 24 th,2017.In order to obtain the pre-slide deformation and induce the trigger factor of this landslide,40 scenes Sentinel-1 data from October 9 th,2014 to June 19 th,2017 were involved.And deformation velocity and pre-slide deformation time series were achieved with synthetic aperture radar interferometric point target analysis(IPTA)technique,which was compared with the pre-slide rainfall data.According to the problems of the heavy vegetation coverage in landslide area,persistent scatterer candidates(PSC)were identified based on the fact that strong scatterers are less sensitive to the window size and oversampling factor in the coregistration procedure.Analytical results indicated that the landslide had obvious deformation in two years before this landslide event.The maximum deformation rate reached 4(cm ·a-1).Moreover,an abrupt increase deformation was monitored in half a month before this landslide event,which can be inferred that the continuous heavy rainfall before landslide event was the main trigger factor of the landslide.
引文
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[11]温铭生,陈红旗,张鸣之,等.四川茂县“6·24”特大滑坡特征与成因机制分析[J].中国地质灾害与防治学报,2017,28(3):1-7.(WEN Mingsheng,CHENHongqi,ZHANG Mingzhi,et al.Characteristics and information mechanism analysis of the“6·24”catastrophic landslide of the June 24of 2017,at Miaoxian,Sichuan[J].The Chinese Journal of Geological Hazard and Control,2017,28(3):1-7.)
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[13]杨魁,杨建兵,江冰茹.Sentinel-1卫星综述[J].城市勘测,2015(2):24-27.(YANG Kui,YANG Jianbing,JIANG Bingru.Sentinel-1satellite overview[J].Urban Geotechnical Investigation&Surveying,2015(2):24-27.)
[14]刘媛媛.基于多源SAR数据的时间序列InSAR地表形变监测研究[D].西安:长安大学,2014.(LIUYuanyuan.Monitoring of surface deformation with time-series InSAR technique based on multi-source SAR data[D].Xi’an:Chang’an University,2014.)
[15]LU Zhong,DZURISIN D.Ground surface deformation patterns,magma supply,and magma storage at Okmok volcano,Alaska,from InSAR analysis:2.coeruptive deflation,July-August 2008[J].Journal of Geophysical Research(Solid Earth),2010,115:B00B03.
[16]BAMLER R,EINEDER M.Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems[J].IEEE on Geoscience and Remote Sensing Letters,2005,2(2):151-155.
[17]ZHANG Lei,DING Xiaoli,LU Zhong.Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011,66:146-152.
[2]ACHACHE J,FRUNEAU B,DELACOURT C.Applicability of SAR interferometry for monitoring of landslides[C/OL]∥Proceedings of the Second ERSApplications Workshop,1996:165-168[2017-10-08].https:∥www.researchgate.net/profile/Christophe_Delacourt2/publication/234499028_Applicability_of_SAR_Interferometry_for_Monitoring_of_Landslides/links/00b49521533c540ca5000000/Applicability-of-SAR-Interferometry-for-Monitoring-of-Landslides.pdf?origin=publication_detail.
[3]MOTAGH M,WETZEL H U,ROESSNER S,et al.ATerraSAR-X InSAR study of landslides in southern Kyrgyzstan,Central Asia[J].Remote Sensing Letters,2013,4(7):657-666.
[4]FERRETTI A,PRATI C,ROCCA F.Permanent scatterers in SAR interferometry[J].IEEE Transactions on Geoscience and Remote Sensing,2001,39(1):8-20.
[5]ZHAO C,LU Z,ZHANG Q,et al.Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over Northern California and Southern Oregon,USA[J].Remote Sensing of Environment,2012,124:348-359.
[6]WERNER C,WEGMULLER U,STROZZI T,et al.Interferometric point target analysis for deformation mapping[C]∥Proceedings of international geoscience remote sensing symposium.Piscataway,New Jersey,USA:IEEE,2003:4362-4364.
[7]YANG Honglei,PENG Junhuan,WANG Baocun,et al.Ground deformation monitoring of Zhengzhou city from 2012to 2013using an improved IPTA[J].Natural Hazards,2016,80(1):1-17.
[8]STROZZI T,AMBROSI C.SAR interferometric point target analysis and interpretation of aerial photographs for landslides investigation in Ticino,southern Switzerland[C/OL]∥Proceedings of the Envisat Symposium2007,2007[2017-10-08].https:∥earth.esa.int/envisatsymposium/proceedings/sessions/3B1/461238ts.pdf.
[9]FURUYA M.Application of interferometric point target analysis to Izu-Oshima Volcano,Japan[C/OL]∥Proceedings of the Envisat Symposium 2007,2007[2017-10-08].http:∥envisat.esa.int/envisatsymposium/proceedings/sessions/4B4/462406fu.pdf.
[10]ZHAO Qing,LIN Hui,GAO Wei,et al.InSAR detection of residual settlement of an ocean reclamation engineering project:a case study of Hong Kong international airport[J].Journal of J Oceanogr,2011,67(4):415-426.
[11]温铭生,陈红旗,张鸣之,等.四川茂县“6·24”特大滑坡特征与成因机制分析[J].中国地质灾害与防治学报,2017,28(3):1-7.(WEN Mingsheng,CHENHongqi,ZHANG Mingzhi,et al.Characteristics and information mechanism analysis of the“6·24”catastrophic landslide of the June 24of 2017,at Miaoxian,Sichuan[J].The Chinese Journal of Geological Hazard and Control,2017,28(3):1-7.)
[12]四川省测绘地理信息局.“6·24”茂县山体滑坡垮塌地理信息系统[EB/OL].(2017-06-27)[2017-10-08].http:∥www.scgis.net/mxxy/.(Sichuan Bureau of Surveying,Mapping and Geoinformation.“6·24”Maoxian mountain collapsed geographic information system[EB/OL].(2017-06-27)[2017-10-08].http:∥www.scgis.net/mxxy/.)
[13]杨魁,杨建兵,江冰茹.Sentinel-1卫星综述[J].城市勘测,2015(2):24-27.(YANG Kui,YANG Jianbing,JIANG Bingru.Sentinel-1satellite overview[J].Urban Geotechnical Investigation&Surveying,2015(2):24-27.)
[14]刘媛媛.基于多源SAR数据的时间序列InSAR地表形变监测研究[D].西安:长安大学,2014.(LIUYuanyuan.Monitoring of surface deformation with time-series InSAR technique based on multi-source SAR data[D].Xi’an:Chang’an University,2014.)
[15]LU Zhong,DZURISIN D.Ground surface deformation patterns,magma supply,and magma storage at Okmok volcano,Alaska,from InSAR analysis:2.coeruptive deflation,July-August 2008[J].Journal of Geophysical Research(Solid Earth),2010,115:B00B03.
[16]BAMLER R,EINEDER M.Accuracy of differential shift estimation by correlation and split-bandwidth interferometry for wideband and delta-k SAR systems[J].IEEE on Geoscience and Remote Sensing Letters,2005,2(2):151-155.
[17]ZHANG Lei,DING Xiaoli,LU Zhong.Ground settlement monitoring based on temporarily coherent points between two SAR acquisitions[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011,66:146-152.
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