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dc.contributor.authorFrancioni, M
dc.contributor.authorCalamita, F
dc.contributor.authorCoggan, JS
dc.contributor.authorDe Nardis, A
dc.contributor.authorEyre, M
dc.contributor.authorMiccadei, E
dc.contributor.authorPiacentini, T
dc.contributor.authorStead, D
dc.contributor.authorSciarra, N
dc.date.accessioned2019-07-04T07:41:03Z
dc.date.issued2019-07-02
dc.description.abstractThis research aims to highlight the importance of adopting a multi-disciplinary approach to understanding the factors controlling large rock avalanches using the Scanno landslide, Italy, as a case study. The study area is the Mount Genzana, Abruzzi Central Apennines, characterized by the regional Difesa-Mount Genzana-Vallone delle Masserie fault zone. The Scanno landslide is famous for its role in the formation of the Scanno Lake. The landslide is characterized by a wide exposed scar, which was interpreted in previous studies as the intersection of high-angle joints and an outcropping bedding plane on which the landslide failed sometime between the Upper Pleistocene and the Holocene. In this study, the Scanno landslide was investigated through the integration of geological, geomechanical and geomorphological surveys. Remote sensing techniques were used to enrich the conventionally gathered datasets, while Geographic Information Systems (GIS) were used to integrate, manage and investigate the data. The results of the authors investigation show that the outcropping landslide scar can be interpreted as a low-angle fault, associated with the Difesa-Mount Genzana-Vallone delle Masserie fault zone, which di ers from previous investigations and interpretations of the area. The low-angle fault provides the basal failure surface of the landslide, with two systematic high-angle joint sets acting as lateral release and back scarp surfaces, respectively. In light of these new findings, pre- and post-failure models of the area have been created. The models were generated in GIS by combining LiDAR (Light Detection and Ranging) and geophysics data acquired on the landslide body and through bathymetric survey data of the Scanno Lake. Using the pre- and post-failure models it was possible to estimate the approximate volume of the landslide. Finally, back-analyses using static and dynamic limit equilibrium methods is also used to show the possible influence of medium-to-high magnitude seismic events in triggering the Scanno landslide.en_GB
dc.identifier.citationVol. 11 (13), 1570en_GB
dc.identifier.doi10.3390/rs11131570
dc.identifier.urihttp://hdl.handle.net/10871/37821
dc.language.isoenen_GB
dc.publisherMDPI AGen_GB
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) licenseen_GB
dc.subjectScanno landslide;en_GB
dc.subjectLiDARen_GB
dc.subjectgeological modelen_GB
dc.subjectback-analysisen_GB
dc.subjectlandslides in fault-zonesen_GB
dc.subjectcentral Apenninesen_GB
dc.titleA Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italyen_GB
dc.typeArticleen_GB
dc.date.available2019-07-04T07:41:03Z
dc.identifier.issn2072-4292
exeter.article-numberrs11131570en_GB
dc.descriptionThis is the final version. Available from MDPI via the DOI in this record.en_GB
dc.identifier.journalRemote Sensingen_GB
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2019-06-30
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-07-02
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2019-07-03T12:22:30Z
refterms.versionFCDAM
refterms.dateFOA2019-07-04T07:41:07Z
refterms.panelBen_GB


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© 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license
Except where otherwise noted, this item's licence is described as © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license