Slope Stability Assessment of the Sarcheshmeh Landslide, Northeast Iran, Investigated Using InSAR and GPS Observations

Akbarimehr, Mehrdad; Motagh, Mahdi; Haghighi, Mahmud Haghshenas

doi:10.3390/rs5083681

Cited by 52 publications

(35 citation statements)

References 38 publications

(44 reference statements)

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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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Section: Discussionmentioning

confidence: 99%

The COSMO-SkyMed Constellation Monitors the Costa Concordia Wreck

et al. 2014

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“…According to the previous works regarding geomorphology of Ahar Chay-Basin, most of the known landslides are categorized as rotational landslides . The morphological characteristics of these rotational slides exhibit abrupt changes in slope morphology, with concavity in the depletion zone of the landslide and convexity in the accumulation zone (Akbarimehr, 2013). In doing so, to delineate landslides object based techniques including mean, standard deviation, GLCM texture parameters (GLCM Contrast, GLCM Correlation, GLCM Entropy, GLCM Mean, GLCM Standard Devotion) were computed as base of rule-sets.…”

Section: Object Based Landlide Deleiantionmentioning

confidence: 99%

Assessing uncertainties associated with digital elevation models for object based landslide delination

Feizizadeh¹,

Blaschke²

2016

GEOBIA 2016: Solutions and Synergies

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ABSTRACT:Digital elevation models (DEMs) are representations of topography with inherent errors that constitute uncertainty. DEMs data are often used in object based analyses without quantifying the effects of these errors. The main objective of this research is to establish a semi-automated object-based image analysis (OBIA) methodology for modelling uncertainty associated with DEMs when applied for locating landslides. In order to assess the uncertainty of DEMs, the Monte Carlo Simulation methodology was employed for evaluation of the effects of uncertainty on elevation and derived topographic parameters. The effect of DEM error is investigated, using stochastic conditional simulation to generate multiple equally likely representations of an actual terrain surface. Accordingly, distributional measures including accuracy surfaces, spatial autocorrelation indices, and variograms were also employed to quantify the magnitude and spatial pattern of the uncertainty. The semi-automated object based rule-sets for landslide delineation were developed based on two approaches a): without uncertainty assessing of DEMs and b): under applying uncertainty assessing of DEMs to examine the probable and possible uncertainties in delineating the landslides and measuring the improved accuracy after minimizing these associated uncertainties. The results of two approaches were validated using a landslide inventory database and very accurate GPS dataset. Results indicated very significant improvement in accuracy of results (> 28 %) when employing DEMs under uncertainty assessment. This research demonstrates how application of this methodology can address DEMs uncertainty, contributing to more responsible use of elevation and derived topographic parameters, and ultimately results obtained from their use.

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“…According to Equation (5), the basic imaging term can be written as (6) where is ( , , ) the complex conjugate of the wave front curvature phase error term, which can be generated with POS data. The radar reflectivity at target P can be obtained from the basic imaging term ( , , ) via (7) …”

Section: Dlsla 3-d Sar Heterogeneous Parallel Image Reconstruction Simentioning

confidence: 99%

“…DLSLA 3-D SAR can be developed for various applications, such as city planning, environmental monitoring, Digital Surface Model (DSM) generation, disaster relief, surveillance and reconnaissance, etc. [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

et al. 2013

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Abstract:The airborne downward looking sparse linear array three dimensional synthetic aperture radar (DLSLA 3-D SAR) operates nadir observation with the along-track synthetic aperture formulated by platform movement and the cross-track synthetic aperture formulated by physical sparse linear array. Considering the lack of DLSLA 3-D SAR data in the current preliminary study stage, it is very important and essential to develop DLSLA 3-D SAR simulation (echo generation simulation and image reconstruction simulation, including point targets simulation and 3-D distributed scene simulation). In this paper, DLSLA 3-D SAR imaging geometry, the echo signal model and the heterogeneous parallel technique are discussed first. Then, heterogeneous parallel echo generation simulation with time domain correlation and the frequency domain correlation method is described. In the following, heterogeneous parallel image reconstruction simulation with two imaging algorithms, e.g., 3-D polar format algorithm, polar formatting and L1 regularization algorithm is discussed. Finally, the point targets and the 3-D distributed scene simulation are demonstrated to validate the effectiveness and performance of our proposed heterogeneous parallel simulation technique. The 3-D distributed scene employs airborne X-band DEM and P-band Circular SAR image of the same area as simulation scene input.

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Slope Stability Assessment of the Sarcheshmeh Landslide, Northeast Iran, Investigated Using InSAR and GPS Observations

Cited by 52 publications

References 38 publications

The COSMO-SkyMed Constellation Monitors the Costa Concordia Wreck

The COSMO-SkyMed Constellation Monitors the Costa Concordia Wreck

Assessing uncertainties associated with digital elevation models for object based landslide delination

Airborne Downward Looking Sparse Linear Array 3-D SAR Heterogeneous Parallel Simulation

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