浏览全部资源
扫码关注微信
Published： 07 January 2021 ，
扫 描 看 全 文
廖明生，董杰，李梦华，敖萌，张路，史绪国.2021.雷达遥感滑坡隐患识别与形变监测.遥感学报，25（1）： 332-341
Liao M S，Dong J，Li M H，Ao M，Zhang L and Shi X G. 2021. Radar remote sensing for potential landslides detection and deformation monitoring. National Remote Sensing Bulletin， 25（1）：332-341
滑坡是全球发生最为频繁、造成损失最严重的自然灾害之一，滑坡表面形变测量对于滑坡的早期识别、监测和预警具有重要意义。雷达遥感具有非接触式大范围空间连续覆盖和高精度形变测量等优势，在滑坡地质灾害领域中取得了广泛的应用。本文概述武汉大学干涉雷达遥感团队近几年在利用雷达遥感监测滑坡形变方面的研究内容，包括：雷达遥感在滑坡形变监测中的可行性和适用性分析、大范围滑坡隐患识别、复杂山区滑坡形变测量、大梯度滑坡形变测量、滑坡三维形变提取等。
Landslides are one of the most frequent natural disasters around the world. The surface deformation measurement is important for early identification
monitoring and early warning of landslides. Radar remote sensing has the advantages of large-scale non-contact high-precision deformation measurement
which has been widely used in the field of landslide geological disasters. This paper summarizes the recent research results of the InSAR group in Wuhan University in landslide deformation monitoring using radar remote sensing. The researches include the feasibility and applicability of radar remote sensing in landslide deformation monitoring
large-scale identification of potential landslides
measurement of landslide deformation in complex mountainous areas
measurement of landslides with large deformation gradients
3D deformation extraction of landslide
etc.The landslides have varying movement velocities. The phase-based InSAR method is only suitable to monitor very slow-moving landslides
while the amplitude-based offset tracking mothed can measure relatively large landslide movements. The potential active landslides across wide areas can be identified through inspecting the InSAR deformation rates. We took the Three Gorges Reservoir Region and Danba County as examples to demonstrate the effectiveness of InSAR landslide identification. Once the landslides are found out
we apply satellite InSAR to conduct fine monitoring of some important landslides. The Coherent Scatterers InSAR (CSInSAR) combines persistent scatterers and distributed scatterers to efficiently increase measurements points to ensure robust InSAR deformation results in complex mountainous regions. Meanwhile
we proposed two methods to correct the tropospheric atmospheric delays for time series InSAR analysis when studying single landslide. One is the Iterative Linear Model (ILM) as an improved version of the traditional Linear Model. The other is to fuse tropospheric delays predicted by several global weather models (FDWM) with different temporal intervals and spatial resolutions.The amplitude-based offset tracking method is applied to measure fast landslide movements. Particularly
a new Time-Series Point-like Target Offset Tracking (TS-PTOT) method is proposed to retrieve time-series surface displacements at point-like targets from SAR image pairs properly combined with large temporal baselines and small spatial baselines. We took the Shuping landslide
Guobu landslide
and Huangnibazi landslide as examples to prove the ability of offset tracking method for monitoring fast moving landslides. In addition
three-Dimensional (3D) displacement field
which can render the real movement of the slope surface
is of great significance to the analysis of deformation characteristics and deformation mechanism of a landslide. We took the Guobu landslide and the Jiaju landslide as examples to present the 3D displacements extraction from multiple observations.
遥感滑坡监测时间序列InSAR像素偏移量追踪三维形变
remote sensinglandslide monitoringtime series InSARpixel offset tracking3D deformation
Ao M, Zhang L, Shi X, Liao M and Dong J. 2019. Measurement of the three-dimensional surface deformation of the jiaju landslide using a surface-parallel flow model. Remote Sensing Letters, 10: 776-785
Carlà T, Intrieri E, Raspini F, Bardi F, Farina P, Ferretti A, Colombo D, Novali F and Casagli N. 2019. Perspectives on the prediction of catastrophic slope failures from satellite InSAR. Scientific Reports, 9: 14137
Crosetto M, Monserrat O, Cuevas-González M, Devanthéry N and Crippa B. 2016. Persistent scatterer interferometry: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 115: 78-89
Cruden D M and Varnes D J. 1996. Landslide types and processes. Special Report-National Research Council, Transportation Research Board: 76
Dong J, Liao M, Xu Q, Zhang L, Tang M and Gong J. 2018a. Detection and displacement characterization of landslides using multi-temporal satellite sar interferometry: A case study of danba county in the dadu river basin. Engineering Geology, 240: 95-109
Dong J, Zhang L, Liao M and Gong J. 2019. Improved correction of seasonal tropospheric delay in InSAR observations for landslide deformation monitoring. Remote Sensing of Environment, 233: 111370
Dong J, Zhang L, Tang M, Liao M, Xu Q, Gong J and Ao M. 2018b. Mapping landslide surface displacements with time series SAR interferometry by combining persistent and distributed scatterers: A case study of jiaju landslide in danba, china. Remote Sensing of Environment, 205: 180-198
Ferretti A, Fumagalli A, Novali F, Prati C, Rocca F and Rucci A. 2011. A new algorithm for processing interferometric data-stacks: SqueeSAR. Geoscience and Remote Sensing, IEEE Transactions on, 49: 3460-3470
Hilley G E, Bürgmann R, Ferretti A, Novali F and Rocca F. 2004. Dynamics of slow-moving landslides from permanent scatterer analysis. Science, 304: 1952-1955
Hu J, Li Z, Ding X, Zhu J, Zhang L and Sun Q. 2014a. Resolving three-dimensional surface displacements from InSAR measurements: A review. Earth-Science Reviews, 133: 1-17
Hu X, Wang T and Liao M. 2014b. Measuring coseismic displacements with point-like targets offset tracking. Geoscience and Remote Sensing Letters, IEEE, 11: 283-287
Hu X, Bürgmann R, Schulz W H and Fielding E J. 2020. Four-dimensional surface motions of the slumgullion landslide and quantification of hydrometeorological forcing. Nature Communications, 11: 2792
Jiang M, Li Z, Ding X, Zhu J and Feng G. 2011. Modeling minimum and maximum detectable deformation gradients of interferometric SAR measurements. International Journal of Applied Earth Observation and Geoinformation, 13: 766-777
Jiang Y, Liao M, Zhou Z, Shi X, Zhang L and Balz T. 2016. Landslide deformation analysis by coupling deformation time series from SAR data with hydrological factors through data assimilation. Remote Sensing, 8: 179
Li M, Zhang L, Dong J, Tang M, Shi X, Liao M and Xu Q. 2019a. Characterization of pre- and post-failure displacements of the huangnibazi landslide in li county with multi-source satellite observations. Engineering Geology, 257: 105140
Li M, Zhang L, Shi X, Liao M and Yang M. 2019b. Monitoring active motion of the guobu landslide near the laxiwa hydropower station in china by time-series point-like targets offset tracking. Remote Sensing of Environment, 221: 80-93
Shi X, Liao M, Li M, Zhang L and Cunningham C. 2016. Wide-area landslide deformation mapping with multi-path ALOS PALSAR data stacks: A case study of three gorges area, china. Remote Sensing, 8: 136
Shi X, Zhang L, Balz T and Liao M. 2015. Landslide deformation monitoring using point-like target offset tracking with multi-mode high-resolution TerraSAR-X data. ISPRS Journal of Photogrammetry and Remote Sensing, 105: 128-140
Shi X, Zhang L, Zhou C, Li M and Liao M. 2018. Retrieval of time series three-dimensional landslide surface displacements from multi-angular SAR observations. Landslides, 15: 1015-1027
Singleton A, Li Z, Hoey T and Muller J P. 2014. Evaluating sub-pixel offset techniques as an alternative to D-InSAR for monitoring episodic landslide movements in vegetated terrain. Remote Sensing of Environment, 147: 133-144
Strozzi T, Luckman A, Murray T, Wegmuller U and Werner C L. 2002. Glacier motion estimation using SAR offset-tracking procedures. IEEE Transactions on Geoscience and Remote Sensing, 40: 2384-2391
Sun Q, Zhang L, Ding X L, Hu J, Li Z W and Zhu J J. 2015. Slope deformation prior to zhouqu, china landslide from InSAR time series analysis. Remote Sensing of Environment, 156: 45-57
Tang W, Liao M and Yuan P. 2016. Atmospheric correction in time-series SAR interferometry for land surface deformation mapping-a case study of taiyuan, china. Advances in Space Research, 58: 310-325
Wang T and Jonsson S. 2015. Improved sar amplitude image offset measurements for deriving three-dimensional coseismic displacements. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, PP: 1-8
Wasowski J and Bovenga F. 2014. Investigating landslides and unstable slopes with satellite multi temporal interferometry: Current issues and future perspectives. Engineering geology, 174: 103-138
Yu C, Li Z, Penna N and Crippa P. 2018. Generic atmospheric correction model for interferometric synthetic aperture radar observations. Journal of Geophysical Research: Solid Earth, 123: 9202-9222
Yu Y, d’Alessandro M M, Tebaldini S and Liao M. 2020. Signal processing options for high resolution SAR tomography of natural scenarios. Remote Sensing, 12(10), 1638
Zhao C, Lu Z, Zhang Q and de la Fuente J. 2012. Large-area landslide detection and monitoring with ALOS/PALSAR imagery data over northern california and southern oregon, USA. Remote Sensing of Environment, 124: 348-359
Guo H. 2000. Theory and application of radar earth observation. Science Press
郭华东. 2000. 雷达对地观测理论与应用. 科学出版社
Guo H, Zhang L. 2019. 60 years of radar remote sensing: Four-stage development. Journal of Remote Sensing, 23(6):1023-1035
郭华东,张露. 2019. 雷达遥感六十年：四个阶段的发展. 遥感学报, 23(6) :1023-1035
Liao M, Lin H. 2003. Sythetic aperture radar interferometry——Principle and signal processing. Surveying and Mapping Press
廖明生,林珲. 2003. 雷达干涉测量——原理与信号处理基础. 测绘出版社
Liao M, Zhang L, Shi X, Jiang Y, Dong J, Liu Y. 2017. Radar remote sensing deformation monitoring method and practice of landslides. Science Press
廖明生, 张路, 史绪国, 蒋亚楠, 董杰,刘宇舟. 2017. 滑坡变形雷达遥感监测方法与实践. 科学出版社
Lin H, Ma P, Wang W. 2017. Urban infrastructure health monitoring with spaceborne multi-temporal synthetic aperture radar interferometry. Acta Geodaetica et Cartographica Sinica, 46(10): 1421-1433
林珲, 马培峰,王伟玺. 2017. 监测城市基础设施健康的星载MT-InSAR方法介绍. 测绘学报, 46(10):1421-1433
Shi X, Zhang L, Xu Q, Zhao K, Dong J, Jiang H, Laio M. 2019. Monitoring slope displacements of loess terrace using time series InSAR analysis technique. Geomatics and Information Science of Wuhan University, 44(7): 1027-1034
史绪国 张, 许强, 赵宽耀, 董杰, 蒋厚军, 廖明生. 2019. 黄土台塬滑坡变形的时序InSAR监测分析. 武汉大学学报·信息科学版, 44(7): 1027-1034
Tang W, Liao M, Zhang Li, Zhang L. 2017. Study on InSAR tropospheric correction using global atmospheric reanalysis products.Chinese Journal Of Geophysics, 60(2): 527-540
唐伟, 廖明生, 张丽, 张路. 2017. 基于全球气象再分析资料的insar对流层延迟改正研究. 地球物理学报, 60: 527-540
Wang T, Liao M. 2017. Coseismic displacement derived from Sentinel-1 data: Latest techniques and case studies. Journal of Remote Sensing, 22(S1), 124-131
王腾,廖明生. 2017. Sentinel-1卫星数据提取同震形变场：最新技术及震例. 遥感学报, 22(S1), 124-131
Wang Z, Liao M, Zhang L, Luo H, Dong J. 2019. Detecting and characterizing deformations of the left bank slope near the Jinping hydropower station with time series Sentinel-1 data. Remote Sensing for Land and Resources, 31(2): 204-209
王振林, 廖明生, 张路, 罗恒,董杰. 2019. 基于时序sentinel-1数据的锦屏水电站左岸边坡形变探测与特征分析. 国土资源遥感, 31(2):204-209
Xu Q, Dong X, Li W. 2019. Integrated space-air-ground early detection, monitoring and warning system for potential catastrophic geohazards. Geomatics and Information Science of Wuhan University, 44(7): 957-966
许强, 董秀军,李为乐. 2019. 基于天—空—地一体化的重大地质灾害隐患早期识别与监测预警. 武汉大学学报·信息科学版, 2019, 44(7): 957-966
Xu Q, Tang M, Huang R. 2015. Monitoring, warning and emergency treatment of large-scale landslide, Science Press 许强, 汤明高,黄润秋. 2015. 大型滑坡监测预警与应急处置. 科学出版社)
Yin Y, Wu S. 2012. Research on landslide monitoring early warning and emergency prevention technology. Journal of Engineering Geology, 21: 281-281
殷跃平,吴树仁. 2012. 滑坡监测预警与应急防治技术研究. 工程地质学报, 21: 281-281
Zhang L, Liao M, Dong J, Xu Q, Gong J. 2018. Early detection of landslide hazards in mountainous areas of west China using time series SAR interferometry-a case study of Danba, Sichuan. Geomatics and Information Science of Wuhan University, 43: 2039-2049
张路, 廖明生, 董杰, 许强,龚健雅. 2018. 基于时间序列insar分析的西部山区滑坡灾害隐患早期识别——以四川丹巴为例. 武汉大学学报·信息科学版, 43: 2039-2049
相关文章
相关作者
相关机构
京公网安备11010802024621