IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i1p191-d1027585.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    Department of Pure and Applied Sciences, Carlo Bo University of Urbino, 61029 Urbino, Italy)

  • 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
    NHAZCA S.r.l., Via Vittorio Bachelet 12, 00185 Rome, Italy)

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.

Suggested Citation

  • Carlo Robiati & Giandomenico Mastrantoni & Mirko Francioni & Matthew Eyre & John Coggan & Paolo Mazzanti, 2023. "Contribution of High-Resolution Virtual Outcrop Models for the Definition of Rockfall Activity and Associated Hazard Modelling," Land, MDPI, vol. 12(1), pages 1-20, January.
    • Handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:191-:d:1027585
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/1/191/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/1/191/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Michel Jaboyedoff & Thierry Oppikofer & Antonio Abellán & Marc-Henri Derron & Alex Loye & Richard Metzger & Andrea Pedrazzini, 2012. "Use of LIDAR in landslide investigations: a review," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(1), pages 5-28, March.
    2. Roberto Sarro & Rosa María Mateos & Paola Reichenbach & Héctor Aguilera & Adrián Riquelme & Luis Enrique Hernández-Gutiérrez & Alejandro Martín & Anna Barra & Lorenzo Solari & Oriol Monserrat & Massim, 2020. "Geotechnics for rockfall assessment in the volcanic island of Gran Canaria (Canary Islands, Spain)," Journal of Maps, Taylor & Francis Journals, vol. 16(2), pages 605-613, December.
    3. Matthew Lato & Mark Diederichs & D. Hutchinson & Rob Harrap, 2012. "Evaluating roadside rockmasses for rockfall hazards using LiDAR data: optimizing data collection and processing protocols," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 60(3), pages 831-864, February.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yingxu Song & Yujia Zou & Yuan Li & Yueshun He & Weicheng Wu & Ruiqing Niu & Shuai Xu, 2024. "Enhancing Landslide Detection with SBConv-Optimized U-Net Architecture Based on Multisource Remote Sensing Data," Land, MDPI, vol. 13(6), pages 1-19, June.
    2. Gianluca Esposito & Cristiano Carabella & Giorgio Paglia & Enrico Miccadei, 2021. "Relationships between Morphostructural/Geological Framework and Landslide Types: Historical Landslides in the Hilly Piedmont Area of Abruzzo Region (Central Italy)," Land, MDPI, vol. 10(3), pages 1-28, March.
    3. Daniele Giordan & Martina Cignetti & Danilo Godone & Davide Bertolo & Marco Paganone, 2021. "Definition of an Operative Methodology for the Management of Rockfalls along with the Road Network," Sustainability, MDPI, vol. 13(14), pages 1-22, July.
    4. Marko Sinčić & Sanja Bernat Gazibara & Martin Krkač & Hrvoje Lukačić & Snježana Mihalić Arbanas, 2022. "The Use of High-Resolution Remote Sensing Data in Preparation of Input Data for Large-Scale Landslide Hazard Assessments," Land, MDPI, vol. 11(8), pages 1-37, August.
    5. Zhen Du & Li Feng & Haiheng Wang & Ying Dong & Da Luo & Xu Zhang & Hao Liu & Maosheng Zhang, 2023. "Identification of Ground Deformation Patterns in Coal Mining Areas via Rapid Topographical Analysis," Land, MDPI, vol. 12(6), pages 1-18, June.
    6. Kamila Pawluszek, 2019. "Landslide features identification and morphology investigation using high-resolution DEM derivatives," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 96(1), pages 311-330, March.
    7. Paschalis D. Koutalakis & Ourania A. Tzoraki & Georgios I. Prazioutis & Georgios T. Gkiatas & George N. Zaimes, 2021. "Can Drones Map Earth Cracks? Landslide Measurements in North Greece Using UAV Photogrammetry for Nature-Based Solutions," Sustainability, MDPI, vol. 13(9), pages 1-20, April.
    8. Mohsin Butt & Muhammad Umar & Raheel Qamar, 2013. "Landslide dam and subsequent dam-break flood estimation using HEC-RAS model in Northern Pakistan," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 241-254, January.
    9. Sebastiano Trevisani & Pietro Daniel Omodeo, 2021. "Earth Scientists and Sustainable Development: Geocomputing, New Technologies, and the Humanities," Land, MDPI, vol. 10(3), pages 1-17, March.
    10. Iris Bostjančić & Marina Filipović & Vlatko Gulam & Davor Pollak, 2021. "Regional-Scale Landslide Susceptibility Mapping Using Limited LiDAR-Based Landslide Inventories for Sisak-Moslavina County, Croatia," Sustainability, MDPI, vol. 13(8), pages 1-20, April.
    11. E. Luzio & P. Mazzanti & A. Brunetti & M. Baleani, 2020. "Assessment of tectonic-controlled rock fall processes threatening the ancient Appia route at the Aurunci Mountain pass (central Italy)," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 102(3), pages 909-937, July.
    12. Mirko Francioni & Riccardo Salvini & Doug Stead & John Coggan, 2018. "Improvements in the integration of remote sensing and rock slope modelling," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 90(2), pages 975-1004, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:12:y:2023:i:1:p:191-:d:1027585. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.