Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling

Carlo Robiati, Giandomenico Mastrantoni (), Mirko Francioni, Matthew Eyre, John Coggan and Paolo Mazzanti
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Carlo Robiati: Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
Giandomenico Mastrantoni: Department of Earth Sciences & CERI Research Centre, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy
Mirko Francioni: Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
Matthew Eyre: Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
John Coggan: Camborne School of Mines, University of Exeter, Penryn, Cornwall TR10 9EZ, UK
Paolo Mazzanti: Department of Earth Sciences & CERI Research Centre, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy

Land, 2023, vol. 12, issue 1, 1-20

Abstract: The increased accessibility of drone technology and structure from motion 3D scene reconstruction have transformed the approach for mapping inaccessible slopes undergoing active rockfalls and generating virtual outcrop models (VOM). The Poggio Baldi landslide (Central Italy) and its natural laboratory offers the possibility to monitor and characterise the slope to define a workflow for rockfall hazard analysis. In this study, the analysis of multitemporal VOM (2016–2019) informed a rockfall trajectory analysis that was carried out with a physical-characteristic-based GIS model. The rockfall scenarios were reconstructed and then tested based on the remote sensing observations of the rock mass characteristics of both the main scarp and the rockfall fragment inventory deposited on the slope. The highest concentration of trajectory endpoints occurred at the very top of the debris talus, which was constrained by a narrow channel, while longer horizontal travel distances were allowed on the lower portion of the slope. To further improve the understanding of the Poggio Baldi landslide, a time-independent rockfall hazard analysis aiming to define the potential runout associated with several rock block volumetric classes is a critical component to any subsequent risk analysis in similar mountainous settings featuring marly–arenaceous multilayer sedimentary successions and reactivated main landslide scarps.

Keywords: rockfall hazard; remote sensing; 3D modelling (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:12:y:2023:i:1:p:191-:d:1027585

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