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Use of LIDAR in landslide investigations: a review

Author

Listed:
  • Michel Jaboyedoff
  • Thierry Oppikofer
  • Antonio Abellán
  • Marc-Henri Derron
  • Alex Loye
  • Richard Metzger
  • Andrea Pedrazzini

Abstract

This paper presents a short history of the appraisal of laser scanner technologies in geosciences used for imaging relief by high-resolution digital elevation models (HRDEMs) or 3D models. A general overview of light detection and ranging (LIDAR) techniques applied to landslides is given, followed by a review of different applications of LIDAR for landslide, rockfall and debris-flow. These applications are classified as: (1) Detection and characterization of mass movements; (2) Hazard assessment and susceptibility mapping; (3) Modelling; (4) Monitoring. This review emphasizes how LIDAR-derived HRDEMs can be used to investigate any type of landslides. It is clear that such HRDEMs are not yet a common tool for landslides investigations, but this technique has opened new domains of applications that still have to be developed. Copyright The Author(s) 2012

Suggested Citation

  • 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.
    • Handle: RePEc:spr:nathaz:v:61:y:2012:i:1:p:5-28
    DOI: 10.1007/s11069-010-9634-2
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    Citations

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    Cited by:

    1. 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.
    2. 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.
    3. 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.
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.

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