Casagli, Nicola

Cigna, Francesca

Del Conte, Sara

Righini, Gaia

English

Florence Research

Geophysical Research AbstractsVol. 12, EGU2010-3980, 2010EGU General Assembly 2010© Author(s) 2010Slope instability mapping around L’Aquila (Abruzzo, Italy) withPersistent Scatterers Interferometry from ERS, ENVISAT andRADARSAT datasetsGaia Righini, Sara Del Conte, Francesca Cigna, and Nicola CasagliUniversity of Firenze, Department of Earth Sciences, Firenze, Italy (gaia.righini@unifi.it)In the last decade Persistent Scatterers Interferometry (PSI) was used in natural hazards investigations withsignificant results and it is considered a helpful tool in ground deformations detection and mapping (Berardino et.al., 2003; Colesanti et al., 2003; Colesanti & Wasowski, 2006; Hilley et al., 2004).In this work results of PSI processing were interpreted after the main seismic shock that affected the Abruzzoregion (Central Italy) on 6th of April 2009, in order to carry out a slope instability mapping according to therequirement of National Department of Civil Protection and in the framework of the Landslides thematic servicesof the EU FP7 project ‘SAFER’ (Services and Applications For Emergency Response – Grant Agreement n°218802).The area of interest was chosen in almost 460 km2 around L’Aquila according the highest probability ofreactivations of landslides which depends on the local geological conditions, on the epicenter location and onother seismic parameters (Keefer, 1984).The radar images datasets were collected in order to provide estimates of the mean yearly velocity referred to twodistinct time intervals: historic ERS (1992-2000) and recent ENVISAT (2002-2009), RADARSAT (2003-2009);the ERS and RADARSAT images were processed by Tele-Rilevamento Europa (TRE) using PS-InSAR(TM)technique, while the ENVISAT images were processed by e-GEOS using PSP-DIFSAR technique.A pre-existing landslide inventory map was updated through the integration of conventional photo interpretationand the radar-interpretation chain, as defined by Farina et al. (2008) and reported in literature (Farina et al. 2006,Meisina et al. 2007, Pancioli et al., 2008; Righini et al., 2008, Casagli et al., 2008, Herrera et al., 2009). The datawere analyzed and interpreted in Geographic Information System (GIS) environment.Main updates of the pre-existing landslides are focusing on the identification of new landslides, modification ofboundaries through the spatial radar interpretation and the assessment of the state of activity, intended as definedby Cruden and Varnes (1996). The information coming from the radar interpretation is the basis to evaluate thestate of activity and the intensity of slow landslides.Two main situations can occur: the presence of PS within the already mapped landslides, and the presence of PSoutside the previous mapped area resulting often in new landslides.The analysis of PSI data allowed to map 57 new landslides and gave information on 203 (39%) landslides mappedof the pre-existed PAI while the updated Landslide Inventory Map has 579 landslides totally: thus EO data did notgive any additional information on 319 landslides of the pre-existing inventory map. Considering the 203 updatedlandslides, the modifications concern 155 phenomena while 48 are confirmed: the modifications are related to theboundary and/or the state of activity and the typology. All the new landslides added are considered active.It is worth noting that almost all the landslides where the state of activity is changed from dormant (or stabilized)to active involve urban areas and the road network where the reliability of radar benchmarks is higher.Radar satellite data were in particular very useful to map slow superficial movements named as “creep” that arewidespread in the slopes around L’Aquila: the typical velocity is few centimeters per year which is perfectly suitedto the capability of multi-interferometric techniques for ground deformation detection.References:Berardino, P., Costantini, M., Franceschetti, G., Iodice, A., Pietranera, L., Rizzo, V. (2003). use of differ-ential SAR interferometry in monitoring and modelling large slope instability at Maratea (Basilicata, Italy).Engineering Geology, 68 (1-2), 31 - 51.Casagli N., Colombo D., Ferretti A., Guerri L., Righini G. (2008)- Case Study on Local Landslide RiskManagement During Crisis by Means of Remote Sensing Data. Proceedings of the First World Landslide Forum.16-19 November 2008 Tokyo Japan, 125-128.Colesanti, C., Ferretti, A., Prati, C., Rocca, F. (2003). Monitoring landslides and tectonic motions with thePermanent Scatterers Technique. Engineering Geology, 68, 3 - 14.Colesanti, C., Wasowski, J., (2006). Investigating landslides with satellite Synthetic Aperture Radar (SAR)interferometry. Engineering Geology, 88 (3 - 4), 173 - 199.Cruden, D.M., Varnes, D.J. (1996). Landslide types and processes. In: Turner AK, Schuster RL (eds) Landslidesinvestigation and mitigation, Special Report 247. Transportation Research Board, National Research Council,Washington, DC, 36 - 75.Farina P., Colombo D., Fumagalli A., Marks F., Moretti S. (2006) - Permanent Scatterers for landslide in-vestigations: outcomes from the ESA-SLAM project. Engineering Geology, v. 88, p.200-217.Farina P., Casagli N., Ferretti A. (2008) - Radar-interpretation of InSAR measurements for landslide inves-tigations in civil protection practices. First North American Landslide Conference, June 3-8, 2007.Vail, Colorado,pp. 272-283.Hilley, G.E, Burgmann, R., Ferretti, A., Novali, F., Rocca, F. (2004). Dynamics of slow-moving landslidesfrom Permanent Scatterer analysis. Science, 304 (5679), 1952 - 1955.Herrera G., Davalillo J.C., Mulas J., Cooksley G., Monserrat O., Pancioli V. (2009) - Mapping and moni-toring geomorphological processes in mountainous areas using PSI data: Central Pyrenees case study Nat.Hazards Earth Syst. Sci., 9, 1587–1598,Meisina C., Zucca F., Fossati D., Ceriani M, Allievi J. (2006) - Ground deformations monitoring by usingthe Permanent Scatterers Technique: the example of the Oltrepo Pavese (Lombardia, Italy), Engineering Geology,88, 240-259.Pancioli V., Farina P., (2007) - Analisi dei fenomeni franosi con dati InSAR satellitari: primi risultati delprogetto ESA-Terrafirma. Giornale di Geologia Applicata 6-A: 101-102.Righini, G., Del Ventisette, C., Costantini, M., Malvarosa, F., Minati, F. (2008). Space-borne SAR Analysisfor Landslides Mapping in the Framework of the PREVIEW Project. Proceedings of the First World LandslideForum, Tokyo Japan, 505-506.

Slope instability mapping around L&#8217;Aquila (Abruzzo, Italy) with Persistent Scatterers Interferometry from ERS, ENVISAT and RADARSAT datasets

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Slope instability mapping around L’Aquila (Abruzzo, Italy) with Persistent Scatterers Interferometry from ERS, ENVISAT and RADARSAT datasets

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Slope instability mapping around L&#8217;Aquila (Abruzzo, Italy) with Persistent Scatterers Interferometry from ERS, ENVISAT and RADARSAT datasets

Abstract

Similar works

Full text

Available Versions

Florence Research

Slope instability mapping around L’Aquila (Abruzzo, Italy) with Persistent Scatterers Interferometry from ERS, ENVISAT and RADARSAT datasets