Pre-survey suitability evaluation of the differential synthetic aperture radar interferometry method for landslide monitoring

Plank, Simon; Singer, John; Minet, Christian; Thuro, Kurosch

doi:10.1080/01431161.2012.693646

Cited by 60 publications

(33 citation statements)

References 23 publications

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“…The advantage of the methodology presented in this article is that in addition to freely available and systematically acquired pre-event HR optical imagery only post-event VHR PolSAR is required, which can be programmed before the next overpass of the satellite, independent of any geometrical restrictions by a pre-event SAR imagery. Nevertheless, to guarantee useful image acquisition geometries, i.e., to decrease the influence of layover and shadowing effects, the terrain and the slope's orientation in space should be considered [64]. Also, the procedure proposed in the current article is based on change detection.…”

Section: Discussionmentioning

confidence: 99%

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

2016

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Abstract:Mapping of landslides, quickly providing information about the extent of the affected area and type and grade of damage, is crucial to enable fast crisis response, i.e., to support rescue and humanitarian operations. Most synthetic aperture radar (SAR) data-based landslide detection approaches reported in the literature use change detection techniques, requiring very high resolution (VHR) SAR imagery acquired shortly before the landslide event, which is commonly not available. Modern VHR SAR missions, e.g., Radarsat-2, TerraSAR-X, or COSMO-SkyMed, do not systematically cover the entire world, due to limitations in onboard disk space and downlink transmission rates. Here, we present a fast and transferable procedure for mapping of landslides, based on change detection between pre-event optical imagery and the polarimetric entropy derived from post-event VHR polarimetric SAR data. Pre-event information is derived from high resolution optical imagery of Landsat-8 or Sentinel-2, which are freely available and systematically acquired over the entire Earth's landmass. The landslide mapping is refined by slope information from a digital elevation model generated from bi-static TanDEM-X imagery. The methodology was successfully applied to two landslide events of different characteristics: A rotational slide near Charleston, West Virginia, USA and a mining waste earthflow near Bolshaya Talda, Russia.

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Section: Discussionmentioning

confidence: 99%

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

2016

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“…The geometrical visibility of the area of interest is evaluated with respect to the morphology and land-use, and to the acquisition geometry of the available satellite system [8,22,34,35]. The R-and LU-indexes [8] are calculated for the whole area and assigned to each PS.…”

Section: Ps Visibility Analysismentioning

confidence: 99%

Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry

et al. 2013

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Abstract:In this paper a methodology is proposed to elaborate landslide activity maps through the use of PS (Persistent Scatterer) data. This is illustrated through the case study of Tramuntana Range in the island of Majorca (Spain), where ALOS (Advanced Land Observing Satellite) images have been processed through a Persistent Scatterer Interferometry (PSI) technique during the period of 2007-2010. The landslide activity map provides, for every monitored landslide, an assessment of the PS visibility according to the relief, land use, and satellite acquisition parameters. Landslide displacement measurements are projected along the steepest slope, in order to compare landslide velocities with different slope orientations. Additionally, a ground motion activity map is also generated, based on active PS clusters not included within any known landslide phenomenon, but OPEN ACCESSRemote Sens. 2013, 5 6199 even moving, potentially referred to unmapped landslides or triggered by other kinds of geomorphological processes. In the Tramuntana range, 42 landslides were identified as active, four as being potential to produce moderate damage, intersecting the road Ma-10, which represents the most important road of the island and, thus, the main element at risk. In order to attest the reliability of measured displacements to represent landslide dynamics, a confidence degree evaluation is proposed. In this test site, seven landslides exhibit a high confidence degree, medium for 93 of them, and low for 51. A low confidence degree was also attributed to 615 detected active clusters with a potential to cause moderate damage, as their mechanism of the triggering cause is unknown. From this total amount, 18 of them intersect the Ma-10, representing further potentially hazardous areas. The outcomes of this work reveal the usefulness of landslide activity maps for environmental planning activities, being exportable to other radar data and different geomorphological settings.

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“…As the landslide occurred in a mountainous area, it is common for it to cause specific spatial distortions in slant radar images, including layover and shadow effects [24,25], which have negative impacts on the InSAR applications [26]. The layover and shadow areas are masked out with the aid of the DEM and SAR imaging geometry [27]. As a result, the retained points can be analyzed for potential landslide reorganization and pre-slide deformation monitoring.…”

Section: Point Selectionmentioning

confidence: 99%

Application of InSAR Techniques to an Analysis of the Guanling Landslide

et al. 2017

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Abstract:On the afternoon of 28 June 2010, an enormous landslide occurred in the Gangwu region of Guanling County, Guizhou Province. In order to better understand the mechanism of the Guanling landslide, archived ALOS/PALSAR data was used to acquire the deformation prior to the landslide occurrence through stacking and time-series InSAR techniques. First, the deformation structure from InSAR was compared to the potential creep bodies identified using the optical remote sensing data. A strong consistency between the InSAR detected deformed regions and the creep bodies detected from optical remote sensing images was achieved. Around 10 creep bodies were suffering from deformation. In the source area, the maximum pre-slide mean deformation rate along the slope direction reached 160 mm/year, and the uncertainty of the deformation rates ranged from 15 to 34 mm/year. Then, the pre-slide deformation at the source area was analyzed in terms of the topography, geological structure, and historical rainfall records. Through observation and analysis, the deformation pattern of one creep body located within the source area can be segmented into three sections: a creeping section in the front, a locking section in the middle, and a cracking section in the rear. These sections constitute one of the common landslide modes seen in the south-west of China. This study concluded that a sudden shear failure in the locking segment of one creeping body located within the source area was caused by a strong rainstorm, which triggered the Guanling landslide.

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Pre-survey suitability evaluation of the differential synthetic aperture radar interferometry method for landslide monitoring

Cited by 60 publications

References 23 publications

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

Landslide Mapping in Vegetated Areas Using Change Detection Based on Optical and Polarimetric SAR Data

Landslide Activity Maps Generation by Means of Persistent Scatterer Interferometry

Application of InSAR Techniques to an Analysis of the Guanling Landslide

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