Interferogram formation in the presence of complex and large deformation

Yun, Sang‐Ho; Zebker, H. A.; Segall, P.; Hooper, Andrew; Poland, Michael P.

doi:10.1029/2007gl029745

Cited by 70 publications

(63 citation statements)

References 10 publications

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“…Theoretically, the range displacement map from the pixel offset technique is expected to contain the same information as the differential interferogram [24]. In order to quantitatively evaluate the combination of the two techniques, the differences between LOS displacements of ten points in Area 4 derived from DInSAR processing in a time span of 22 days and offset tracking processing in a time span of 110 days are calculated in Table 4.…”

Section: Offset Tracking Results Between Sar Acquisitionsmentioning

confidence: 99%

“…At the end, the final range and azimuth offsets can be estimated by measuring the row and column offsets between two acquisitions. During the processing, various parameters, such as the cross-correlation window size and oversampling factor, should be carefully evaluated to adjust to the size of deformation features and SAR image pixel size [24].…”

Section: Amplitude Based: Pixel Offset Techniquementioning

confidence: 99%

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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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Section: Offset Tracking Results Between Sar Acquisitionsmentioning

confidence: 99%

Section: Amplitude Based: Pixel Offset Techniquementioning

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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“…In the last decade two-pass InSAR has been extensively applied to volcanoes. Studies include observations of inflation and deflation of inferred magma chambers, e.g., [14]- [17], sill and dike intrusion, e.g., [18]- [20], faulting, e.g., [21] and eruption, e.g., [22], [23]. In the early days of InSAR, it was generally only possible to capture an entire eruption in an interferogram, except in the case of long-lived eruptions, like Kilauea.…”

Section: B Two-pass Insarmentioning

confidence: 99%

Remote Sensing of Volcanic Hazards and Their Precursors

2012

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Ash, tephra and gas ejected during explosive eruptions provides a major far-reaching threat to population, health and air traffic. Lava flows, lahars and floods from ice capped volcanoes can also have a major influence, as well as landslides that have a potential for tsunami generation if they reach into sea or lakes. Remote sensing contributes to the mitigation of these hazards through the use of synthetic aperture radar interferometry (InSAR) and spectroradiometry. In the case of InSAR, displacements of a volcano's surface can be interpreted in terms of magma movement beneath the ground. Thus the technique can be used to identify precursors to eruptions and to track the evolution of eruptions. Recent advances in algorithm development enable relative displacements over many km to be measured with an accuracy of only a few mm. Spectroradiometry on the other hand allows monitoring of a volcanic eruption through the detection of hot-spots, and monitoring and quantification of the ash and SO 2 emitted by volcanoes into the atmosphere. The tracking of ash plumes during eruptions assists in the identification of areas that should be avoided by aircraft. Here we present a review of these two remote sensing techniques, and their application to volcanic hazards.

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“…The general OT procedure first removes the global component using a bilinear equation [42]. Different strategies (e.g., high-pass filtering [41,43]) can then be applied to mitigate the error offsets in the local component. Finally, the remaining offsets are transformed into surface deformation, in accordance with the spatial resolution of the SAR images.…”

Section: Introductionmentioning

confidence: 99%

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

et al. 2017

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Due to the side-looking imaging geometry of the current synthetic aperture radar (SAR) sensors, only ground deformation along the radar's line-of-sight (LOS) and azimuth directions can be potentially obtained from a single amplitude pair (SAP) of SAR using offset tracking (OT) procedures. This significantly hinders the accurate assessment of mining-related hazards and better understanding of the mining subsidence mechanism. In this paper, we propose a method for completely retrieving three-dimensional (3-D) mining-induced displacements with OT-derived observations of LOS deformation from a single amplitude pair of SAR (referred to as OT-SAP hereinafter). The OT-SAP method first constructs two extra constraints at each pixel of the mining area based on the proportional relationship between the horizontal motion of the mining area and the gradients of the vertical subsidence in the east and north directions. The full 3-D mining-induced displacements are then solved by coupling the two constructed extra constraints with the OT-derived observations of the LOS deformation. The Daliuta coal mining area in China was selected to test the proposed OT-SAP method. The results show that the maximum 3-D displacements of this mining area were about 4.3 m, 1.1 m, and 1.3 m in the vertical, east, and north directions, respectively, from 21 November 2012 to 6 February 2013. The accuracies of the retrieved displacements in the vertical and horizontal directions are about 0.201 m and 0.214 m, respectively, which are much smaller than the mining-induced displacements in this mining area and can satisfy the basic requirements of mining deformation monitoring.

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Interferogram formation in the presence of complex and large deformation

Cited by 70 publications

References 10 publications

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

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

Remote Sensing of Volcanic Hazards and Their Precursors

Retrieving 3-D Large Displacements of Mining Areas from a Single Amplitude Pair of SAR Using Offset Tracking

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