Landslide Monitoring in the Three Gorges Area Using D-INSAR and Corner Reflectors

Xia, Ye; Kaufmann, Hermann; Guo, Xiaofang

doi:10.14358/pers.70.10.1167

Cited by 123 publications

(38 citation statements)

References 1 publication

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“…Since the interferometric pairs are divided into three subsets ( Figure 2) due to the lack of SAR data and a long spatial baseline, the deformation rate between two adjacent SAR images in different subsets is chosen as the deformation parameter after the SVD operation [41]. However, since the study area is covered by dense vegetation, the accuracy of the deformation results is seriously affected [10,42]. Therefore, in order to improve the robustness of the results, a 50 m × 50 m section is selected (shown by squares within the purple polygons in Figure 3) as the main deformation area of each creep body.…”

Section: Potential Landslide Identificationmentioning

confidence: 99%

Application of InSAR Techniques to an Analysis of the Guanling Landslide

et al. 2017

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Abstract:On the afternoon of 28 June 2010, an enormous landslide occurred in the Gangwu region of Guanling County, Guizhou Province. In order to better understand the mechanism of the Guanling landslide, archived ALOS/PALSAR data was used to acquire the deformation prior to the landslide occurrence through stacking and time-series InSAR techniques. First, the deformation structure from InSAR was compared to the potential creep bodies identified using the optical remote sensing data. A strong consistency between the InSAR detected deformed regions and the creep bodies detected from optical remote sensing images was achieved. Around 10 creep bodies were suffering from deformation. In the source area, the maximum pre-slide mean deformation rate along the slope direction reached 160 mm/year, and the uncertainty of the deformation rates ranged from 15 to 34 mm/year. Then, the pre-slide deformation at the source area was analyzed in terms of the topography, geological structure, and historical rainfall records. Through observation and analysis, the deformation pattern of one creep body located within the source area can be segmented into three sections: a creeping section in the front, a locking section in the middle, and a cracking section in the rear. These sections constitute one of the common landslide modes seen in the south-west of China. This study concluded that a sudden shear failure in the locking segment of one creeping body located within the source area was caused by a strong rainstorm, which triggered the Guanling landslide.

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Section: Potential Landslide Identificationmentioning

confidence: 99%

Application of InSAR Techniques to an Analysis of the Guanling Landslide

et al. 2017

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“…If PS density is still low over a target area, artificial corner reflectors can be used to provide strong responses in the SAR image so as to achieve a good interferometric phases for the estimation of the deformation and assess the performance of DInSAR and PSI [13][14][15]. Technical aspects on artificial corner reflectors in DIn-SAR are described in Ye et al [16] and Crosetto et al [17]. This technique has been applied to PSI [18,19].…”

Section: Persistent Scatterer Detectionmentioning

confidence: 99%

A technical review on persistent scatterer interferometry

Jia

Liu

2016

J. Mod. Transport.

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This article focuses on reviewing the technologies of persistent scatterer interferometry (PSI), which has been often used to monitor the deformation of Earth surface. Three critical steps in the implementation of PSI were introduced, i.e., (1) detection of persistent scatterer (PS), (2) construction of PS network, and (3) PSI modeling and solution. Finally, the main problems and outlooks on the PSI technique are discussed and given.

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“…Both azimuth and range displacements derived are projections of the 3D displacement vector onto corresponding dimensions. The mathematical expressions are as follows: (4) where D N , D E and D V represent displacements in the northing, easting and vertical directions, respectively. The parameters α and θ represent the heading angle and nominal incidence angle at the interest point, respectively, and d rg and d az are displacements measured in the range and azimuth directions, respectively.…”

Section: Sliding Direction Sensitivitymentioning

confidence: 99%

“…In particular, Differential Interferometric Synthetic Aperture Radar (DInSAR) is an effective method to measure deformation in landslides. The successful application of this technique in landslide monitoring has been widely documented [4,5]. However, several problems hinder the exploitation of the DInSAR technique in landslide monitoring.…”

Section: Introductionmentioning

confidence: 99%

Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring

Lü

Chun

et al. 2016

Remote Sensing

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Early detection and early warning are of great importance in giant landslide monitoring because of the unexpectedness and concealed nature of large-scale landslides. In China, the western mountainous areas are prone to landslides and feature many giant complex landslides, especially following the Wenchuan Earthquake in 2008. This work concentrates on a new technique, known as the "hybrid-SAR technique", that combines both phase-based and amplitude-based methods to detect and monitor large-scale landslides in Li County, Sichuan Province, southwestern China. This work aims to develop a robust methodological approach to promptly identify diverse landslides with different deformation magnitudes, sliding modes and slope geometries, even when the available satellite data are limited. The phase-based and amplitude-based techniques are used to obtain the landslide displacements from six TerraSAR-X Stripmap descending scenes acquired from November 2014 to March 2015. Furthermore, the application circumstances and influence factors of hybrid-SAR are evaluated according to four aspects: (1) quality of terrain visibility to the radar sensor; (2) landslide deformation magnitude and different sliding mode; (3) impact of dense vegetation cover; and (4) sliding direction sensitivity. The results achieved from hybrid-SAR are consistent with in situ measurements. This new hybrid-SAR technique for complex giant landslide research successfully identified representative movement areas, e.g., an extremely slow earthflow and a creeping region with a displacement rate of 1 cm per month and a typical rotational slide with a displacement rate of 2-3 cm per month downwards and towards the riverbank. Hybrid-SAR allows for a comprehensive and preliminary identification of areas with significant movement and provides reliable data support for the forecasting and monitoring of landslides.

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Landslide Monitoring in the Three Gorges Area Using D-INSAR and Corner Reflectors

Cited by 123 publications

References 1 publication

Application of InSAR Techniques to an Analysis of the Guanling Landslide

Application of InSAR Techniques to an Analysis of the Guanling Landslide

A technical review on persistent scatterer interferometry

Hybrid-SAR Technique: Joint Analysis Using Phase-Based and Amplitude-Based Methods for the Xishancun Giant Landslide Monitoring

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