Analysis of building deformation in landslide area using multisensor PSInSAR™ technique

Ciampalini, Andrea; Bardi, Federica; Bianchini, Silvia; Frodella, William; Ventisette, Chiara Del; Moretti, Sandro; Casagli, Nicola

doi:10.1016/j.jag.2014.05.011

Cited by 98 publications

(62 citation statements)

References 37 publications

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“…Soro Flysch-Argille Scagliose unit), deeply influencing the area landscape and causing widespread slope instability phenomena. For these reasons, the San Fratello area has been historically prone to hydrogeological hazards: during the last three centuries, two large landslides, occurring in 1754 and in 1922, respectively, had already destroyed the north-eastern and western sectors of the town (Bardi et al 2014;Ciampalini et al 2014;.…”

Section: Study Areamentioning

confidence: 99%

“…-building deformation analysis (Ciampalini et al 2014); -basin scale landslide pre-and post-event ground deformation assessment (Bardi et al 2014); -implementation of an accurate geo-database to produce maps (e.g., susceptibility, ground deformation velocities, damage assessment, risk zonation) ; -multi-temporal and spatial investigation of active and dormant landslide effects on historical buildings ; -improvement of landslide inventory (LiM) and susceptibility maps (Ciampalini et al 2016a;Raspini et al 2015); -testing the effectiveness of high-resolution DEMs as tools for an accurate PSI post processing analysis (Ciampalini et al 2016b). …”

Section: Introductionmentioning

confidence: 99%

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A method for assessing and managing landslide residual hazard in urban areas

et al. 2017

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On February 14, 2010, a large landslide affected the urban centre of San Fratello town (Sicily Island, Southern Italy), causing severe damage to buildings, roadways, and infrastructure, as well as about 2000 evacuees. This large complex landslide, covering more than 1 km2 in extension, represents one of the major phenomena that ever occurred in Sicily. In order to manage the landslide risk, the civil protection system was activated as part of the initial response to the emergency (the â\u80\u9cemergency phaseâ\u80\u9d). This involved the Civil Protection Departments both at national (DPC) and regional (DRPC) levels, as well as scientific institutions (namely â\u80\u9cCompetence centresâ\u80\u9d, CdCs), local administration personnel, and technicians. On March 8, 2010, during the post-event recovery phase, a ground-based synthetic aperture radar (GB-InSAR) system was installed in order to monitor the ground surface deformation, assess the landslide residual risk, and analyse its displacement trend. Accurate field surveys and building inspections were also performed for a validation of the GB-InSAR data, in order to map the ground deformation, plan building evacuation-demolishment, as well as check the efficiency of the landslide mitigation works. This paper describes the outcomes of the 57 month monitoring campaign (March 2010â\u80\u93December 2014), reporting the use of GB-InSAR data for near real-time monitoring, mapping, and post-emergency/recovery management activities. The final aim was to provide the civil protection personnel with a reliable, rapid, and easy communication system of the monitoring results, designed to an enhance understanding of the landslide phenomena, and to support the decision-making process

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Section: Study Areamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A method for assessing and managing landslide residual hazard in urban areas

et al. 2017

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“…Integrated satellite and ground-based displacement maps can be performed to distinguish the areas characterized by displacements from the areas without evidence of movements, following a binary approach (stable/unstable). The combined use of satellite and ground-based SAR data can provide ground displacement measurements with higher spatio-temporal resolution and coverage than the stand-alone use of the techniques, which can be satisfactorily applied for mapping and monitoring landslide phenomena [27,36].…”

Section: Qualitative Integrationmentioning

confidence: 99%

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

et al. 2016

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This work concerns a proposal of the integration of InSAR (Interferometric Synthetic Aperture Radar) data acquired by ground-based (GB) and satellite platforms. The selected test site is the Åknes rockslide, which affects the western Norwegian coast. The availability of GB-InSAR and satellite InSAR data and the accessibility of a wide literature make the landslide suitable for testing the proposed procedure. The first step consists of the organization of a geodatabase, performed in the GIS environment, containing all of the available data. The second step concerns the analysis of satellite and GB-InSAR data, separately. Two datasets, acquired by RADARSAT-2 (related to a period between October 2008 and August 2013) and by a combination of TerraSAR-X and TanDEM-X (acquired between July 2010 and October 2012), both of them in ascending orbit, processed applying SBAS (Small BAseline Subset) method, are available. GB-InSAR data related to five different campaigns of measurements, referred to the summer seasons of 2006, 2008, 2009, 2010 and 2012, are available, as well. The third step relies on data integration, performed firstly from a qualitative point of view and later from a semi-quantitative point of view. The results of the proposed procedure have been validated by comparing them to GPS (Global Positioning System) data. The proposed procedure allowed us to better define landslide sectors in terms of different ranges of displacements. From a qualitative point of view, stable and unstable areas have been distinguished. In the sector concerning movement, two different sectors have been defined thanks to the results of the semi-quantitative integration step: the first sector, concerning displacement values higher than 10 mm, and the 2nd sector, where the displacements did not exceed a 10-mm value of displacement in the analyzed period.

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“…In past research, space-borne advanced SAR interferometry has been used to map and monitor movements and related building deformations on landslide-prone and -affected areas [11][12][13]. In particular, several works deal with the use of PS motion rates for detecting displacements in urbanized and cultural heritage sites [14][15][16][17][18][19], as well as for monitoring single urban structures [20,21].…”

Section: Introductionmentioning

confidence: 99%

Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study

et al. 2015

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Abstract:In recent years, space-borne InSAR (interferometric synthetic aperture radar) techniques have shown their capabilities to provide precise measurements of Earth surface displacements for monitoring natural processes. Landslides threaten human lives and structures, especially in urbanized areas, where the density of elements at risk sensitive to ground movements is high. The methodology described in this paper aims at detecting terrain motions and building deformations at the local scale, by means of satellite radar data combined with in situ validation campaigns. The proposed approach consists of deriving maximum settlement directions of the investigated buildings from displacement data revealed by radar measurements and then in the cross-comparison of these values with background geological data, constructive features and on-field evidence. This validation permits better understanding whether or not the detected movements correspond to visible and effective damages to buildings. The method has been applied to the southwestern sector of Volterra (Tuscany region, Italy), which is a landslide-affected and partially urbanized area, through the use of COSMO-SkyMed satellite images as input data. Moreover, we discuss issues and possible misinterpretations when dealing with PSI (Persistent Scatterer Interferometry) data referring to single manufactures and the consequent difficulty of attributing the motion rate to ground displacements, rather than to structural failures.

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Analysis of building deformation in landslide area using multisensor PSInSAR™ technique

Cited by 98 publications

References 37 publications

A method for assessing and managing landslide residual hazard in urban areas

A method for assessing and managing landslide residual hazard in urban areas

Space-Borne and Ground-Based InSAR Data Integration: The Åknes Test Site

Building Deformation Assessment by Means of Persistent Scatterer Interferometry Analysis on a Landslide-Affected Area: The Volterra (Italy) Case Study

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