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PS-InSAR TECHNIQUE FOR LANDSLIDE DEFORMATION IN THE THREE GORGES RESERVOIR AREA USING ENVISAT ASAR DATA STACKS

机译:使用ENVISAT ASAR数据堆栈的三谷水库地区滑坡变形的PS-InSAR技术

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This technique is well-known for its applications in subsidence of landslide monitoring analysis. However, practical applications of D-InSAR are limited by major drawbacks such as geometric and temporal decorrelation, as well as atmospheric disturbances. With the PS-InSAR techniques, a long time series of SAR images is combined to identify point-like stable reflectors (PSs), which can overcome the problems for traditional D-InSAR technique so as to improve the accuracy and reliability of deformation measurements. However, its application in landslide deformation monitoring has just become a hot topic of research in recent years. Landslide monitoring in the Three Gorges areas with PS-InSAR techniques is difficult due to environmental conditions such as strong terrain relief, dense vegetation cover, and complicated atmospheric variation/ condition. Such problems may hinder the PS-InSAR analysis. InSAR is a powerful technique that exploits phase information of SAR images to measure ground surface movements. Landslide deformation and monitoring using D-InSAR technique with millimetre accuracy is an important application of satellite SAR data acquired in repeat-pass mode. To solve these such problems, B.M. Kampes, R.F. Hanssen and P. Marinkovic developed the DORIS to make use for SAR interferometric processing, DEM generation- creation of digital elevation model and using the created DEM obtaining an interferometric containing displacement information. Andy Hooper and David Bekaert developed the StaMPS to make use of spatial-temporal filtering to extract deformation components from time-series interferometric phase signal. In this study, I have used D-InSAR and PS-InSAR techniques for landslide movement detection and deformations and monitoring by time series data and analysis at the Three Gorges Reservoir area. With ENVISAT ASAR 09 images of multiple tracks acquired during the period 08th February 2004 to 12th June 2005 years were used as test data. Using PS-InSAR method, identified areas with high risks of slope failure at the Three Gorges area and detect time-series deformation at landslide bodies.
机译:该技术因其在滑坡监测分析中的应用而闻名。但是,D-InSAR的实际应用受到诸如几何和时间去相关以及大气干扰等主要缺点的限制。利用PS-InSAR技术,可以将较长时间的SAR图像序列组合起来,以识别点状稳定反射器(PSs),从而可以克服传统D-InSAR技术的问题,从而提高变形测量的准确性和可靠性。但是,其在滑坡变形监测中的应用已成为近年来研究的热点。由于环境条件(例如强大的地形起伏,茂密的植被覆盖以及复杂的大气变化/条件),使用PS-InSAR技术在三峡地区进行滑坡监测非常困难。这样的问题可能会妨碍PS-InSAR分析。 InSAR是一种强大的技术,可利用SAR图像的相位信息来测量地表运动。使用毫米精度的D-InSAR技术进行滑坡变形和监测是在重复通过模式下获取的卫星SAR数据的重要应用。为了解决这些问题,B.M。坎佩斯(R.F.) Hanssen和P. Marinkovic开发了DORIS,以用于SAR干涉测量处理,DEM生成,创建数字高程模型,并使用创建的DEM获得包含位移信息的干涉测量。 Andy Hooper和David Bekaert开发了StaMPS,以利用时空滤波从时序干涉相位信号中提取变形分量。在这项研究中,我使用了D-InSAR和PS-InSAR技术对滑坡运动进行检测和变形,并通过时间序列数据进行了监测,并在三峡水库地区进行了分析。在ENVISAT ASAR 09中,将2004年2月8日至2005年6月12日之间采集的多条轨道的图像用作测试数据。使用PS-InSAR方法,识别了三峡地区有高边坡破坏风险的区域,并检测了滑坡体的时间序列变形。

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