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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数据堆栈的三峡库区三峡库区滑坡变形的PS-Insl 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:该技术众所周知,其应用陷入滑坡监测分析沉降。然而,D-Insar的实际应用受到几何和时间去相关性的主要缺点,以及大气干扰。利用PS-Insar技术,组合了长时间的SAR图像以识别类似点状稳定的反射器(PSS),这可以克服传统D-Insar技术的问题,以提高变形测量的准确性和可靠性。然而,它在山体滑坡变形监测中的应用近年来刚刚成为研究的热门话题。由于环境条件如强大的地形浮雕,茂密的植被覆盖和复杂的大气变化/条件,具有PS-Insar技术的三个峡谷领域的滑坡监测很难。这些问题可能会阻碍PS-Insar分析。 Insar是一种强大的技术,用于利用SAR图像的相位信息来测量地面运动。使用毫米精度的D-Insar技术的滑坡变形和监测是在重复通过模式中获得的卫星SAR数据的重要应用。为了解决这些问题,下班。 kampes,r.f.汉森和P.Marinkovic开发了Doris,为SAR干涉测量处理,DEM生成创作,使用创建的DEM获取包含位移信息的干涉测量。 Andy Hooper和David Bekaert开发了邮票,以利用空间滤波来从时序干涉相位信号中提取变形组件。在该研究中,我已经使用了D-Insar和PS-Insear技术进行滑坡运动检测和变形以及三峡库区的时间序列数据和分析。对于Envisat Asar 09,在2004年2月8日至6月12日在2005年2月12日中获取的多轨图像被用作测试数据。使用PS-Insar方法,在三峡面积处具有高斜率风险风险的区域,并在滑坡体中检测时序列变形。

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