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

Hastaoğlu, Kemal Özgür

doi:10.1080/19475705.2014.978822

Cited by 22 publications

(18 citation statements)

References 33 publications

(35 reference statements)

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“…The results presented in Figure 10 and in Table 3 show good consistency of PSI results with GNSS results. They also indicate that PSI results can substantially increase reliability of the interpretation of the GNSS results (Hastaoglu, 2016).…”

Section: Results Of Psi Vs Results Of Gnssmentioning

confidence: 99%

Estimation of height changes of GNSS stations from the solutions of short vectors and PSI measurements

Krynski

Zak

Ziółkowski

et al. 2017

Geodesy and Cartography

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Time series of weekly and daily solutions for coordinates of permanent GNSS stations may indicate local deformations in Earth's crust or local seasonal changes in the atmosphere and hydrosphere. The errors of the determined changes are relatively large, frequently at the level of the signal. Satellite radar interferometry and especially Persistent Scatterer Interferometry (PSI) is a method of a very high accuracy. Its weakness is a relative nature of measurements as well as accumulation of errors which may occur in the case of PSI processing of large areas. It is thus benefi cial to confront the results of PSI measurements with those from other techniques, such as GNSS and precise levelling. PSI and GNSS results were jointly processed recreating the history of surface deformation of the area of Warsaw metropolitan with the use of radar images from Envisat and CosmoSkyMed satellites. GNSS data from Borowa Gora and Jozefoslaw observatories as well as from WAT1 and CBKA permanent GNSS stations were used to validate the obtained results. Observations from 2000-2015 were processed with the Bernese v.5.0 software. Relative height changes between the GNSS stations were determined from GNSS data and relative height changes between the persistent scatterers located on the objects with GNSS stations were determined from the interferometric results. The consistency of results of the two methods was 3 to 4 times better than the theoretical accuracy of each. The joint use of both methods allows to extract a very small height change below the level of measurement error.

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Section: Results Of Psi Vs Results Of Gnssmentioning

confidence: 99%

Estimation of height changes of GNSS stations from the solutions of short vectors and PSI measurements

Krynski

Zak

Ziółkowski

et al. 2017

Geodesy and Cartography

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“…In Equation 2, the satellite unit vector is defined in detail. Here, for the descending and ascending transition, q is the heading angle, and f is the incidence angle (Arikan et al, 2010;Hastaoglu, 2016;Fuhrmann and Garthwaite, 2019;Ezquerro et al, 2020).…”

Section: Data Processingmentioning

confidence: 99%

Determination of deformations by using the PSI technique at a common dump site of three different open-pit marble mines in Turkey

Poyraz¹,

Gül²,

Duymaz³

2020

Turkish J Earth Sci

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Surface deformations resulting from mining activities at mining sites are generally monitored by various methods, such as global navigation satellite system (GNSS) receivers, geometric leveling, terrestrial laser imaging detection and ranging (LIDAR), and unmanned aerial vehicle (UAV) photogrammetry. Among these methods, the GNSS technique and the geometric leveling method produce precise point values. Point deformations could also be measured using geotechnical instruments such as crackmeters, inclinometers, extensometers, piezometers, and microseismic geophones (Jarosz and Wanke, 2004). Techniques for point-based deformation detection, such as inclinometer, extensometer and GNSS, require tracking of numerous points to monitor whole of the large scale mine site and involve high costs due to sophisticated data management (Jarosz and Wanke, 2004). These point measurements are often insufficient for the assessment of the kinematics and behaviors of displacements dependent on large landslides characterized by complex movements (Colesanti et al., 2005; Kristensen et al., 2012;Jakóbczyk et al., 2015). Although terrestrial LIDAR and UAV photogrammetry allow for the determination of areal deformations, they produce results that vary according to the properties of the equipment used. Airborne LIDAR data and imagery are safe, accurate, and able to achieve a valuable top-view. However, the extremely high cost associated with the use of aircraft and its timeconsuming nature makes this strategy an impractical solution, especially for investigations of small areas (Al-Rawabdeh et al., 2016). UAV photogrammetry has been widely used in deformation monitoring studies in recent years. This method has been used in many studies, such as monitoring tectonic movements (Deffontaines et al., 2016), determining deformations at mine sites (

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“…Ciampalini et al [17] combined PSInSAR with the steepest slope velocity and its variance to refine the landslide susceptibility map. Hastaoglu et al [18] used ENVISAT and GNSS data to verify PSInSAR accuracy. Ciampalini et al [19] adopted sensors on buildings and PSInSAR for building deformation and risk classification.…”

Section: Introductionmentioning

confidence: 99%

High-Resolution LiDAR Digital Elevation Model Referenced Landslide Slide Observation with Differential Interferometric Radar, GNSS, and Underground Measurements

et al. 2021

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The area of Taiwan is 70% hillsides. In addition, the topography fluctuates wildly, and it is active in earthquakes and young orogenic movements. Landslides are a widespread disaster in Taiwan. However, landslides are not a disaster until someone enters the mountain area for development. Therefore, landslide displacement monitoring is the primary task of this study. Potential landslide areas with mostly slate geological conditions were selected as candidate sites in this study. The slate bedding in this area is approximately 30 to 75 degrees toward the southeast, which means that creep may occur due to gravity deformation caused by high-angle rock formation strikes. In addition, because the research site is located in a densely vegetated area, the data noise is very high, and it is not easy to obtain good results. This study chose ESA Sentinel-1 data for analysis and 1-m LiDAR DEM as reference elevation. The 1-m LiDAR DEM with high accuracy can help to detect more complex deformation from DInSAR. The Sentinel-1 series of satellites have a regular revisit period. In addition, the farm areas of roads, bridges, and buildings in the study area provided enough reflections to produce good coherence. Sentinel-1 images from March 2017 to June 2021 were analyzed, obtaining slope deformation and converting it to the vertical direction. Deformation derived from SAR is compared with other measurements, including GNSS and underground slope inclinometer. The SBAS solution process provides more DInSAR pairs to overcome the problem of tremendous noise and has increased accuracy. Moreover, the SBAS method’s parameter modification derives more candidate points in the vegetated area. The vertical deformation comparison between the GNSS installation location and the ascending SBAS solution’s vertical deformation is consistent. Moreover, the reliable facing of the slope toward the SAR satellite is discussed. Due to the limitations of the GNSS stations, this study proposes a method to convert the observed deformation from the slope inclinometer and convert it to vertical deformation. The displacement of the slope indicator is originally a horizontal displacement. It is assumed that it is fixed at the farthest underground, and the bottom-to-top movement is integrated with depth. The results show that the proposed equation to convert horizontal to vertical displacement fits well in this condition. The activity of landslides within the LiDAR digital elevation model identified as scars is also mapped.

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

Cited by 22 publications

References 33 publications

Estimation of height changes of GNSS stations from the solutions of short vectors and PSI measurements

Estimation of height changes of GNSS stations from the solutions of short vectors and PSI measurements

Determination of deformations by using the PSI technique at a common dump site of three different open-pit marble mines in Turkey

High-Resolution LiDAR Digital Elevation Model Referenced Landslide Slide Observation with Differential Interferometric Radar, GNSS, and Underground Measurements

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