Use of LIDAR in landslide investigations: a review
Использование LIDAR при исследовании оползней: обзор
2010-10-18
SCID: 54.1/5b8jarpa
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LIDARhazard assessmenthigh-resolution digital elevation modelslandslide investigationsmass movement monitoring
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Abstract (AI)
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.
Key Findings
1
Despite its broad investigative potential, LIDAR-based high-resolution elevation modelling was not yet a common tool in landslide studies.
2
LIDAR applications in landslide research are organized into detection and characterization, hazard assessment and susceptibility mapping, modelling, and monitoring.
3
LIDAR has opened new application domains for landslide research, although substantial opportunities for further development remain.
4
LIDAR-derived high-resolution elevation models can support investigations of landslides, rockfalls, and debris flows across diverse movement types.
5
The paper reviews the development and geoscientific use of LIDAR for producing high-resolution digital elevation models and three-dimensional terrain models.
Research Object
landslides, rockfalls, and debris flows
Research Subject
applications of LIDAR-derived high-resolution digital elevation models for mass-movement detection and characterization, hazard assessment and susceptibility mapping, modeling, and monitoring
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2010-10-18
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