Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

Tantianuparp, Peraya; Shi, Xuguo; Zhang, Lu; Balz, Timo; Liao, Mingsheng

doi:10.3390/rs5062704

Cited by 71 publications

(42 citation statements)

References 25 publications

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“…The SBAS results suggest that the already displaced landslide masses have been subject to subsequent reactivations, which also affect the youngest Pleistocene deposits. Comparable findings of the ALOS/PALSAR-derived downslope velocities of the very slow moving landslides have been observed in Spain [11] and in Three Gorges in China [8].…”

Section: Downslope Deformations Of Landslidessupporting

confidence: 54%

“…With the increasing availability of suitable radar data, advanced time-series analysis techniques have been developed, which allow for the quantitative derivation of spatially variable deformation rates with increasing improvements in the temporal resolution. The resulting satellite InSAR techniques have been successfully applied for the quantitative analysis of landslide activities in a variety of environments [7][8][9][10][11][12]. A comprehensive review of the current state-of-the-art satellite InSAR-based landslide investigations can be found in Wasowski & Bovenga, 2014 [13].…”

Section: Introductionmentioning

confidence: 99%

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ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

et al. 2015

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This study focuses on evaluating the potential of ALOS/PALSAR time-series data to analyze the activation of deep-seated landslides in the foothill zone of the high mountain Alai range in the southern Tien Shan (Kyrgyzstan). Most previous field-based landslide investigations have revealed that many landslides have indicators for ongoing slow movements in the form of migrating and newly developing cracks. L-band ALOS/PALSAR data for the period between 2007 and 2010 are available for the 484 km 2 area in this study. We analyzed these data using the Small Baseline Subset (SBAS) time-series technique to assess the surface deformation related to the activation of landslides. We observed up to ±17 mm/year of LOS velocity deformation rates, which were projected along the local steepest slope and resulted in velocity rates of up to −63 mm/year. The obtained rates indicate very slow movement of the deep-seated landslides during the observation time. We also compared these movements with precipitation and earthquake records. The results suggest that the deformation peaks correlate with rainfall in the 3 preceding months and with an earthquake event. Overall, the results of this study indicated the great potential of L-band InSAR time series analysis for OPEN ACCESS Remote Sens. 2015, 7 8974 efficient spatiotemporal identification and monitoring of slope activations in this region of high landslide activity in Southern Kyrgyzstan.

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Section: Downslope Deformations Of Landslidessupporting

confidence: 54%

Section: Introductionmentioning

confidence: 99%

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

et al. 2015

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“…The interferometric phase is useful for analyzing the ground deformation trends over time in the LOS direction [49]. The time series interferograms generated from each data pair from (a) to (k) are shown in Figure 6.…”

Section: Interferometric Phase Change Over Timementioning

confidence: 99%

Monitoring of Land-Surface Deformation in the Karamay Oilfield, Xinjiang, China, Using SAR Interferometry

Aimaiti

Yamazaki

et al. 2017

Applied Sciences

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“…InSAR-based techniques were mainly applied, thanks to the availability of huge historical SAR image archives [8], to measure and monitor ground deformation phenomena that had already occurred. Geoscientists have widely exploited SAR-based information to resolve the spatial distribution and temporal evolution of displacements in areas affected by slow or very slow moving landslides (e.g., [9][10][11][12][13]) or by land subsidence (e.g., [14][15][16][17]). On the contrary, few examples exist of the use of satellite InSAR in real and quasi-real time.…”

Section: Discussionmentioning

confidence: 99%

The COSMO-SkyMed Constellation Monitors the Costa Concordia Wreck

et al. 2014

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On 13 January 2012, the Italian vessel, Costa Concordia, wrecked offshore Giglio Island, along the coast of Tuscany (Italy). The ship partially sunk, lying on the starboard side on a 22° steep rocky seabed, making the stability conditions of the ship critically in danger of sliding, shifting and settling. The tilted position of the ship created also pernicious conditions for the divers involved in the search and rescue operations. It became immediately clear that a continuous monitoring of the position and movements of the ship was of paramount importance to guarantee the security of the people working around and within the wreck. Starting from January 19, the Italian constellation of synthetic aperture radar (SAR) satellites, COSMO-SkyMed (CSK), was tasked to acquire high resolution images of the wreck. Thanks to CSK's short response and revisiting time and its capability to acquire high resolution images in Spotlight mode, satellite data were integrated within the real time, ground-based monitoring system implemented to provide the civil protection authorities with a regular update on the ship stability. Exploitation of both the phase (satellite radar interferometry, InSAR) and amplitude (speckle tracking) information from CSK images, taken along the acquisition orbit, Enhanced Spotlight (ES)-29, revealed a general movement of the translation of the vessel, consistent with OPEN ACCESS Remote Sens. 2014, 6 3989 sliding toward the east of the hull on the seabed. A total displacement, with respect to the coastline, of 1666 mm and 345 mm of the bow and stern, respectively, was recorded, over the time period of

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Characterization of Landslide Deformations in Three Gorges Area Using Multiple InSAR Data Stacks

Abstract: Abstract:In the areas with steep topography and vulnerable geological condition,

Cited by 71 publications

References 25 publications

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

ALOS/PALSAR InSAR Time-Series Analysis for Detecting Very Slow-Moving Landslides in Southern Kyrgyzstan

Monitoring of Land-Surface Deformation in the Karamay Oilfield, Xinjiang, China, Using SAR Interferometry

The COSMO-SkyMed Constellation Monitors the Costa Concordia Wreck

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