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Article

A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy

1
Department of Engineering and Geology, University “G. d’Annunzio” of Chieti-Pescara, 66100 Chieti, Italy
2
Camborne School of Mines, University of Exeter, Penryn TR10 9EZ, Cornwall, UK
3
Istituto Nazionale di Geofisica e Vulcanologia, Sezione Roma 1, 00143 Rome, Italy
4
Department of Earth Sciences, Simon Fraser University, Burnaby, BC V5A 1S6, Canada
*
Author to whom correspondence should be addressed.
Remote Sens. 2019, 11(13), 1570; https://doi.org/10.3390/rs11131570
Submission received: 6 June 2019 / Revised: 24 June 2019 / Accepted: 30 June 2019 / Published: 2 July 2019
(This article belongs to the Special Issue Remote Sensing of Landslides II)

Abstract

This 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 differs 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.
Keywords: Scanno landslide; LiDAR; geological model; back-analysis; landslides in fault-zones; central Apennines Scanno landslide; LiDAR; geological model; back-analysis; landslides in fault-zones; central Apennines
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MDPI and ACS Style

Francioni, M.; Calamita, F.; Coggan, J.; De Nardis, A.; Eyre, M.; Miccadei, E.; Piacentini, T.; Stead, D.; Sciarra, N. A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy. Remote Sens. 2019, 11, 1570. https://doi.org/10.3390/rs11131570

AMA Style

Francioni M, Calamita F, Coggan J, De Nardis A, Eyre M, Miccadei E, Piacentini T, Stead D, Sciarra N. A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy. Remote Sensing. 2019; 11(13):1570. https://doi.org/10.3390/rs11131570

Chicago/Turabian Style

Francioni, Mirko, Fernando Calamita, John Coggan, Andrea De Nardis, Matthew Eyre, Enrico Miccadei, Tommaso Piacentini, Doug Stead, and Nicola Sciarra. 2019. "A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy" Remote Sensing 11, no. 13: 1570. https://doi.org/10.3390/rs11131570

APA Style

Francioni, M., Calamita, F., Coggan, J., De Nardis, A., Eyre, M., Miccadei, E., Piacentini, T., Stead, D., & Sciarra, N. (2019). A Multi-Disciplinary Approach to the Study of Large Rock Avalanches Combining Remote Sensing, GIS and Field Surveys: The Case of the Scanno Landslide, Italy. Remote Sensing, 11(13), 1570. https://doi.org/10.3390/rs11131570

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