|Table of Contents|

Pre-failure Displacements of Hanyuan Landslide in Ya'an Area of Sichuan, China Traced by a Coherence-based InSAR Time Series Method(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2022年第04期
Page:
632-640
Research Field:
大地测量、遥感与地学大数据
Publishing date:

Info

Title:
Pre-failure Displacements of Hanyuan Landslide in Ya'an Area of Sichuan, China Traced by a Coherence-based InSAR Time Series Method
Author(s):
XU Xiao-xue12 JI Ling-yun123* ZHANG Wen-ting12 LIU Chuan-jin12
(1. The Second Monitoring and Application Center of China Earthquake Administration, Xi'an 710054, Shaanxi, China; 2. Department of Geological Hazards, National Remote Sensing Center of China, Beijing 100036, China; 3. School of Earth Sciences, Institute of Disaster Prevention, Sanhe 065201, Hebei, China)
Keywords:
landslide InSAR technology coherence time series SBAS method slope deformation deformation tracking Sichuan
PACS:
P22
DOI:
10.19814/j.jese.2021.06015
Abstract:
High precision monitoring of landslides is necessary for understanding the kinematic characteristics of landslides and reducing the disasters caused by landslides. Interferometry synthetic aperture radar(InSAR)technology can provide a new technical way for deformation monitoring of landslides before disasters. Due to the serious vegetation coverage environment, the coherence-based InSAR time series method was adopted, and the multi-orbit Sentinel-1 SAR image dataset was used to determine the spatio-temporal motion characteristics of Hanyuan landslide in Ya'an area of Sichuan before the disaster from Oct, 2018 to Aug, 2020. Combined with the LOS deformation of the lifting track, the motion components of the landslide along the aspect were extracted. The results show that the maximum average LOS deformation rate of Hanyuan landslide is 42.1 mm·a-1, and the maximum cumulative deformation before sliding is 97 mm, which undergoes two stages of deformation acceleration and stability; the maximum average deformation rate of landslide along the aspect is 43.9 mm·a-1. In general, the InSAR technology has the potential in tracing the pre-failure displacement of landslide, and the research results provide the latest and relatively complete deformation measurement data for Hanyuan landslide.

References:

[1] 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.
ZHANG Qin,HUANG Guan-wen,YANG Cheng-sheng.Precision Space Observation Technique for Geological Hazard Monitoring and Early Warning[J].Acta Geodaetica et Cartographica Sinica,2017,46(10):1300-1307.
[2] LIU Y Y,LU Z,ZHAO C Y,et al.Characterization of the Kinematics of Three Bears Landslide in Northern California Using L-band InSAR Observations[J].Remote Sensing,2019,11(23):2726.
[3] 杨成生,董继红,朱赛楠,等.金沙江结合带巴塘段滑坡群InSAR探测识别与形变特征[J].地球科学与环境学报,2021,43(2):398-408.
YANG Cheng-sheng,DONG Ji-hong,ZHU Sai-nan,et al.Detection,Identification and Deformation Cha-racteristics of Landslide Groups by InSAR in Batang Section of Jinsha River Convergence Zone,China[J].Journal of Earth Sciences and Environment,2021,43(2):398-408.
[4] ZHAO C Y,ZHANG Q,HE Y,et al.Small-scale Loess Landslide Monitoring with Small Baseline Subsets Interferometric Synthetic Aperture Radar Technique Radar Technique:Case Study of Xingyuan Landslide,Shaanxi,China[J].Journal of Applied Remote Sensing,2016,10(2):1-14.
[5] GRIEF V,VLCKO J.Monitoring of Post-failure Landslide Deformation by the PS-InSAR Technique at Lubietova in Central Slovakia[J].Environmental Earth Sciences,2012,66(6):1585-1595.
[6] ACHACHE J,FRUNEAU B,DELACOURT C.Applicability of SAR Interferometry for Monitoring of Landslides[C]∥GUYENNE T D.Proceedings of the Second International Workshop.London:ESA,1995:165-168.
[7] MANUNTA M,ZENI G,SANSOSTI E,et al.Ground Deformation Analysis in the Umbria Region(Central Italy)Carried Out via the SBAS-DInSAR Approach[J].Geophysical Research Abstracts,2006,8:10026.
[8] ZHAO C Y,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.
[9] 葛大庆,戴可人,郭兆成,等.重大地质灾害隐患早期识别中综合遥感应用的思考与建议[J].武汉大学学报(信息科学版),2019,44(7):949-956.
GE Da-qing,DAI Ke-ren,GUO Zhao-cheng,et al.Early Identification of Serious Geological Hazards with Integrated Remote Sensing Technologies:Thoughts and Recommendations[J].Geomatics and Information Science of Wuhan University,2019,44(7):949-956.
[10] NICOLA C,SIMONE F,MASSIMO F.Integrated Use of Archival Aerial Photogrammetry,GNSS,and InSAR Data for the Monitoring of the Patigno Landslide(Northern Apennines,Italy)[J].Landslides,2021,18:2247-2263.
[11] 戴可人,卓冠晨,许 强,等.雷达干涉测量对甘肃南峪乡滑坡灾前二维形变追溯[J].武汉大学学报(信息科学版),2019,44(12):1778-1786.
DAI Ke-ren,ZHUO Guan-chen,XU Qiang,et al.Trac-ing the Pre-failure Two-dimensional Surface Displacements of Nanyu Landslide,Gausu Province with Radar Interferometry[J].Geomatics and Information Science of Wuhan University,2019,44(12):1778-1786.
[12] TONG X P,DAVID S.Active Movement of the Cascade Landslide Complex in Washington from a Cohe-rence-based InSAR Time Series Method[J].Remote Sensing of Environment,2016,186:405-415.
[13] 许 强,董秀军,邓茂林,等.2010年7·20四川汉源二蛮山滑坡-碎屑流特征与成因机理研究[J].工程地质学报,2010,18(5):609-622.
XU Qiang,DONG Xiu-jun,DENG Mao-lin,et al.The Ermanshan Rock Slide-debris Flow of Junly 27,2010 in Hanyuan,Sichuan:Characteristics and Failure Me-chanism[J].Journal of Engineering Geology,2010,18(5):609-622.
[14] 林 林.四川省汉源县滑坡灾害危险性区划研究[D].北京:中国地质大学,2011.
LIN Lin.Research on Landslide Hazard Zonation of Hanyuan County in Sichuan Province[D].Beijing:China University of Geosciences,2011.
[15] 王 涛,王嘉昆,潘 冬.四川汉源康家坡滑坡形成机理与滑坡-堰塞坝-泥石流灾害链分析[J].中国地质灾害与防治学报,2020,31(1):5-11.
WANG Tao,WANG Jia-kun,PAN Dong.Analysis on Mechanism of Kangjiapo Landslide and Consequent Debris Flow in Hanyuan County of Sichuan Province[J].The Chinese Journal of Geological Hazard and Control,2020,31(1):5-11.
[16] WASOWSKI J,PISANO L.Long-term InSAR,Borehole Inclinometer,and Rainfall Records Provide Insight into the Mechanism and Activity Patterns of an Extremely Slow Urbanized Landslide[J].Landslides,2020,17:445-457.
[17] 戴可人,张乐乐,宋 闯,等.川藏铁路沿线Sentinel-1影像几何畸变与升降轨适宜性定量分析[J].武汉大学学报(信息科学版),2021,46(10):1450-1460.
DAI Ke-ren,ZHANG Le-le,SONG Chuang,et al.Quantitative Analysis of Sentinel-1 Imagery Geometric Distortion and Their Suitability Along Sichuan-Tibet Railway[J].Geomatics and Information Science of Wuhan University,2021,46(10):1450-1460.
[18] FARR T G,KOBRICK M.Shuttle Radar Topography Mission Produces a Wealth of Data[J].Eos,2000,81(48):583-585.
[19] SANDWELL D T,MELLORS R,TONG X P,et al.Open Radar Interferometry Software for Mapping Surface Deformation[J].Eos,2011,92(28):234.
[20] KANG Y,LU Z,ZHAO C Y,et al.InSAR Monitoring of Creeping Landslides in Mountainous Regions:A Case Study in Eldorado National Forest,California[J].Remote Sensing of Environment,2021,258:112400.
[21] BERARDINO F,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.
[22] AGRAM P S,SIMONS M.A Noise Model for InSAR Time Series[J].Journal of Geophysical Research:So-lid Earth,2015,120(4):2752-2771.
[23] CHEN C W,ZEBKER H A.Network Approaches to Two-dimensional Phase Unwrapping:Intractability and Two New Algorithms[J].Journal of the Optical Society of America A,2000,17(3):401-414.
[24] HU X,WANG T,THOMAS C,et al.Detecting Seasonal Landslide Movement within the Cascade Landslide Complex(Washington)Using Time-series SAR Imagery[J].Remote Sensing of Environment,2016,187:49-61.
[25] HILLEY G E,BURGMANN R,FERRETTI A,et al.Dynamics of Slow-moving Landslides from Permanent Scatterer Analysis[J].Science,2004,304:1952-1955.
[26] LIU Y,QIU H J,YANG D D,et al.Deformation Responses of Landslides to Seasonal Rainfall Based on InSAR and Wavelet Analysis[J].Landslides,2022,19:199-210.
[27] 张成龙,李振洪,余 琛,等.利用GACOS辅助下InSAR Stacking对金沙江流域进行滑坡监测[J].武汉大学学报(信息科学版),2021,46(11):1649-1657.
ZHANG Cheng-long,LI Zhen-hong,YU Chen,et al.Landslide Detection of the Jinsha River Region Using GACOS Assisted InSAR Stacking[J].Geomatics and Information Science of Wuhan University,2021,46(11):1649-1657.
[28] 李振洪,张宇星,张 勤,等.卫星雷达遥感在滑坡灾害探测和监测中的应用:挑战与对策[J].武汉大学学报(信息科学版).2019,44(7):967-979.
LI Zhen-hong,ZHANG Yu-xing,ZHANG Qin,et al.Application of Satellite Radar Remote Sensing to Landslide Detection and Monitoring:Challenges and Solutions[J].Geomatics and Information Science of Wuhan University,2019,44(7):967-979.

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Last Update: 2022-07-30