Papers published in 2014

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

Andrea Ciampalini∗, Federica Bardi, Silvia Bianchini, William Frodella, Chiara Del Ventisette, Sandro Moretti, Nicola Casagli - Department of Earth Sciences, University of Firenze, Via La Pira 4, 50121 Firenze, Italy


Buildings are sensitive to movements caused by ground deformation. The mapping both of spatialand temporal distribution, and of the degree of building damages represents a useful tool in order tounderstand the landslide evolution, magnitude and stress distribution. The high spatial resolution ofspace-borne SAR interferometry can be used to monitor displacements related to building deformations.In particular, PSInSAR technique is used to map and monitor ground deformation with millimeter accu-racy. The usefulness of the above mentioned methods was evaluated in San Fratello municipality (Sicily,Italy), which was historically affected by landslides: the most recent one occurred on 14th February 2010.PSInSAR data collected by ERS 1/2, ENVISAT, RADARSAT-1 were used to study the building deformationvelocities before the 2010 landslide. The X-band sensors COSMO-SkyMed and TerraSAR-X were used inorder to monitor the building deformation after this event. During 2013, after accurate field inspectionon buildings and structures, damage assessment map of San Fratello were created and then comparedto the building deformation velocity maps. The most interesting results were obtained by the compari-son between the building deformation velocity map obtained through COSMO-SkyMed and the damageassessment map. This approach can be profitably used by local and Civil Protection Authorities to managethe post-event phase and evaluate the residual risks.© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Comparison of event landslide inventories: the Pogliaschina catchment test case, Italy

A. C. Mondini1, A. Viero2, M. Cavalli2, L. Marchi2, G. Herrera3, and F. Guzzetti1

Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, via della Madonna Alta 126,
06128 Perugia, Italy
2Consiglio Nazionale delle Ricerche, Istituto di Ricerca per la Protezione Idrogeologica, Corso Stati Uniti 4,
35127 Padua, Italy
3Instituto Geológico y Minero de España, Ríos Rosas, 23 28003, Madrid, Spain

Correspondence to: A. C. Mondini (alessandro.mondini@irpi.cnr.it)

Received: 20 January 2014 – Published in Nat. Hazards Earth Syst. Sci. Discuss.: 4 February 2014
Revised: 5 May 2014 – Accepted: 8 May 2014 – Published: 15 July 2014

Abstract. Event landslide inventory maps document the extent of populations of landslides caused by a single natural trigger, such as an earthquake, an intense rainfall event, or a rapid snowmelt event. Event inventory maps are important for landslide susceptibility and hazard modelling, and prove useful to manage residual risk after a landslide-triggering event. Standards for the preparation of event landslide inventory maps are lacking. Traditional methods are based on the visual interpretation of stereoscopic aerial photography, aided by field surveys. New and emerging techniques exploit remotely sensed data and semi-automatic algorithms. We describe the production and comparison of two independent event inventories prepared for the Pogliaschina catchment, Liguria, Northwest Italy. The two inventories show landslides triggered by an intense rainfall event on 25 October 2011, and were prepared through the visual interpretation of digital aerial photographs taken 3 days and 33 days after the event, and by processing a very-high-resolution image taken by theWorldView-2 satellite 4 days after the event.
We compare the two inventories qualitatively and quantitatively using established and new metrics, and we discuss reasons for the differences between the two landslide maps. We expect that the results of our work can help in deciding on the most appropriate method to prepare reliable event inventory maps, and outline the advantages and the limitations of the different approaches.

Integration between ground based and satellite SAR data in landslide mapping: The San Fratello case study

Federica Bardi a,⁎, William Frodella a, Andrea Ciampalini a, Silvia Bianchini a, Chiara Del Ventisette a, Giovanni Gigli a, Riccardo Fanti a, Sandro Moretti a, Giuseppe Basile b, Nicola Casagli a a Earth Science Department, Università di Firenze, via La Pira 4, Firenze 50121, Italy b Dipartimento Regionale della Protezione Civile, Regione Siciliana, Servizio Rischi Idrogeologici e Ambientali, via Abela 5, Palermo 90141, Italy


The potential use of the integration of PSI (Persistent Scatterer Interferometry) and GB-InSAR (Ground-based Synthetic Aperture Radar Interferometry) for landslide hazard mitigation was evaluated for mapping and monitoring activities of the San Fratello landslide (Sicily, Italy). Intense and exceptional rainfall events are the main factors that triggered several slope movements in the study area, which is susceptible to landslides, because of its steep slopes and silty–clayey sedimentary cover. In the last three centuries, the town of San Fratello was affected by three large landslides, developed in different periods: the oldest one occurred in 1754, damaging the northeastern sector of the town; in 1922 a large landslide completely destroyed a wide area in the western hillside of the town. In this paper, the attention is focussed on themost recent landslide that occurred on 14 February 2010: in this case, the phenomenon produced the failure of a large sector of the eastern hillside, causing severe damages to buildings and infrastructures. In particular, several slow-moving rotational and translational slides occurred in the area, making it suitable to monitor ground instability through different InSAR techniques. PS-InSAR™ (permanent scatterers SAR interferometry) techniques, using ERS-1/ERS-2, ENVISAT, RADARSAT-1, and COSMO-SkyMed SAR images, were applied to analyze ground displacements during pre- and post-event phases.Moreover, during the post-event phase in March 2010, a GB-InSAR system, able to acquire data continuously every 14 min, was installed collecting ground displacement maps for a period of about three years, until March 2013. Through the integration of space-borne and ground-based data sets, ground deformation velocity maps were obtained, providing a more accurate delimitation of the February 2010 landslide boundary, with respect to the carried out traditional geomorphological field survey. The integration of GB-InSAR and PSI techniques proved to be very effective in landslidemapping in the San Fratello test site, representing a valid scientific support for local authorities and decision makers during the post-emergency management. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/3.0/).

Multitemporal landslides inventory map updating using spaceborne SAR analysis

C. Del Ventisette∗, G. Righini1, S. Moretti, N. Casagli - Earth Science Department, University of Firenze. Via La Pira, 4, 50121 Firenze, Italy


Deep seated gravitational slope deformation and slow moving landslides on large areas were analyzed byspaceborne SAR interferometry: a test site in the Italian Alps of about 300 km2was selected for updatingpre-existing landslide inventory maps based on the advanced interferometric processing technique (A-DInSAR).SAR images from ERS-1/2 satellites (1995–2000) and from Envisat satellite (2002–2009) have beenused, allowing the deferred-time analysis of past movements and the record of recent slope move-ments. In the multi-temporal updated landslide inventory database, the characteristics of the landslideswere highlighted: geometry, state of activity, typology, monitoring systems, interventions, source ofinformation and the updating time and actions. Furthermore, for each landslide area, the occurrence ofpersistent scatterers points and the statistical description of their velocities were reported. This method-ology may allow the systematic updating of landslides inventory maps keeping all information on eachlandslide, becoming the basic tool for the realization and updating of thematic maps such as the landslidesusceptibility map.© 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-NDlicense (http://creativecommons.org/licenses/by-nc-nd/3.0/).

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GA n°: 312384
Project type: Small collaborative project
Start date: 01/03/2013
Duration: 24 months
Total budget: 2,488 mln. €
EC funding: 1,964 mln. €
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The research leading to these results has received funding from the European Union Seventh Framework Programme (FP7/2007-2013) under grant agreement nº 312384. LAMPRE is managed by the Research Executive Agency (REA)

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