Landslide monitoring by combining of CR-InSAR and GPS techniques

Zhu, Wu; Zhang, Qin; Ding, Xiaoli; Zhao, Chaoying; Yang, Chengsheng; Qu, Feifei; Qu, Wei

doi:10.1016/j.asr.2013.12.003

Cited by 42 publications

(22 citation statements)

References 26 publications

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“…There are studies in recent years in which GNSS and PSInSAR results were used together (Peyret et al 2008;Yin et al 2010;Catalão et al 2011;Cigna et al 2012;Akbarimehr et al 2013;Zhu et al 2014). 3D movement amounts can be determined by GNSS, whereas one-dimensional (1D) movement amounts can be found at the line of slight (LOS) using the SAR method.…”

Section: Introductionmentioning

confidence: 99%

Comparing the results of PSInSAR and GNSS on slow motion landslides, Koyulhisar, Turkey

Hastaoğlu

2014

Geomatics, Natural Hazards and Risk

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There are numerous methods used nowadays to monitor landslide movements. Of these methods, Global Navigation Satellite System (GNSS) and Interferometric Synthetic Aperture Radar (InSAR) are the ones that are most commonly used. In this study, the amounts of movements acquired via these two methods were compared and relations between them were analysed. The Koyulhisar landslide region was selected as the field of study. In this study, 10 Envisat images of the region taken between 2006 and 2008 were evaluated using Persistent Scatterers Interferometric Synthetic Aperture Radar (PSInSAR) technique and annual velocity values at the direction of line of slight at PS points were obtained for the region of interest. The velocity values were then obtained from PSInSAR results and compared with those obtained from six periods of GNSS measurements that were performed between April 2007 and November 2008 on Koyulhisar Landslide area after which the relationship between the two was analysed. Two different movement models from GNSS and PSInSAR results were fit to the landslide region. The velocity values estimated from these movement models for the region were compared and correlation between them was determined. As a conclusion, a high correlation of r D 0.84 was determined between the models obtained from nine GNSS points, except one point at the city centre, and PSInSAR.

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Section: Introductionmentioning

confidence: 99%

Comparing the results of PSInSAR and GNSS on slow motion landslides, Koyulhisar, Turkey

Hastaoğlu

2014

Geomatics, Natural Hazards and Risk

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“…These study results match better with CR9's velocity results than CR8's, confirming the assumption of a more accurate estimate in descending path than in ascending path. The maximum offset is indeed obtained on a short time interval in ascending images (2017-10-01/2017- [10][11][12][13][14][15][16][17][18][19]. The pairs with the smallest velocity uncertainty are obtained with CR9 (2017-09-30/2018-07-09 and 2017-11-17/2018-07-15), since they represent the longest time intervals.…”

Section: Dates Time Interval (D) Velocity (Cm/d) Direction Differencementioning

confidence: 88%

Integration of Corner Reflectors for the Monitoring of Mountain Glacier Areas with Sentinel-1 Time Series

et al. 2019

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Glacier flow and slope instabilities in Alpine mountain areas represent a hazard issue. Sentinel-1 satellites provide regular Synthetic Aperture Radar (SAR) acquisitions that are potentially useful to monitor these areas, but they can be affected by temporal decorrelation due to rapid changes in the surface. The application of interferometric synthetic aperture radar (InSAR) therefore seems difficult due to loss of coherence. On the other hand, Corner Reflectors (CR) can be used as coherent targets in SAR images for accurate displacement measurement thanks to their strong backscattering property and temporal stability. The use of CRs in multi-temporal InSAR analysis in Alpine mountain areas can thus be beneficial. In this study, we present a comparison between triangular and rectangular CRs, based on Radar Cross Section (RCS) measurements in an anechoic chamber and on long-term experiments over the Argentière glacier and the surrounding slopes and moraine. The visibility in both summer and winter of 10 CRs installed on the test site was investigated. As this area is exposed to heavy precipitation including snow falls, two perforated CRs were tested. The amplitude stability and the phase error of each CR were estimated. A precise tracking of two CRs installed at the glacier surface was also able to measure the displacement of the Argentière glacier, giving results close to previous GPS measurements. Furthermore, a Persistent Scatterer Interferometry (PSI) study was conducted, using the most stable CR as reference point to estimate slope instabilities, which led to the identification of an area corresponding to a tectonic fault called “Faille de l’angle”. The precise absolute locations of the CRs were successfully estimated and PS heights were compared with a LiDAR-based (Light Detection And Ranging) digital elevation model (DEM) and GPS measurements.

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“…Monitoring techniques based on such systems as the Global Navigational Satellite Systems (GNSS), interferometric synthetic aperture radar (InSAR) and terrestrial laser scanning (TLS) can be used for geomatic investigations of land movements and landslides (Zeybek and Ş anlıoglu 2014;Zhu et al 2014). The use of these methods in monitoring landslides has become commonplace following the development of GPS systems in the 2000s, which enabled a level of precision that could generate coordinate data with sensitivity of a few centimetres (Gili et al 2000;Yalçinkaya and Bayrak 2005;Ü stün et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Monitoring landslides with geophysical and geodetic observations

2015

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The objective of this study was to evaluate and predict land movement by integrating geodetic, geophysical and meteorological data in a landslide area. Specifically, electrical resistivity tomography surveying, Global Navigation Satellite System and terrestrial laser scanning techniques were integrated to monitor a landslide. The study area lies to the southeast of the town of Taşkent in southern Turkey, close to Balcılar in the Central Taurus mountain chain. Landslides result in considerable damage to structures, farmland and the environment in this area; therefore, it is important to characterise the size, extent and timing of past land movements in order to mitigate damage from future landslides. Analysis presented in this paper shows that the greatest land movements in the region occur in spring, when average motions can be up to 1.5 m per month. It is demonstrated that integrated techniques provide a better means for monitoring landslide processes and gathering data for predictions of future movements. Mapping landslide movements by integrating geophysical and geodetic observations can provide a meaningful evaluation of a landslide and its dynamics.

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Landslide monitoring by combining of CR-InSAR and GPS techniques

Cited by 42 publications

References 26 publications

Comparing the results of PSInSAR and GNSS on slow motion landslides, Koyulhisar, Turkey

Comparing the results of PSInSAR and GNSS on slow motion landslides, Koyulhisar, Turkey

Integration of Corner Reflectors for the Monitoring of Mountain Glacier Areas with Sentinel-1 Time Series

Monitoring landslides with geophysical and geodetic observations

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