Improvements in the integration of remote sensing and rock slope modelling

Mirko Francioni (), Riccardo Salvini, Doug Stead and John Coggan
Additional contact information
Mirko Francioni: University of Exeter
Riccardo Salvini: University of Siena
Doug Stead: Simon Fraser University
John Coggan: University of Exeter

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2018, vol. 90, issue 2, No 21, 975-1004

Abstract: Abstract Over the last two decades, the approach to the investigation of landslides has changed dramatically. The advent of new technologies for engineering geological surveys and slope analyses has led to step-change increases in the quality of data available for landslide studies. However, the use of such technologies in the survey and analysis of slopes is often complex and may not always be either desirable or feasible. In this context, this paper aims to improve the understanding of the use of remote sensing techniques for rock mass characterization and provide guidance and on how and when the data obtained from these techniques can be used as input for stability analyses. Advantages and limitations of available digital photogrammetry and laser scanning techniques will also be discussed in relation to their cost and the quality of data that can be obtained. A critique of recent research data obtained from remote sensing techniques is presented together with a discussion on use of the data for slope stability analysis. This highlights how data use may be optimized to reduce both parameter and model uncertainty in future slope analyses.

Keywords: Remote sensing; UAV; LiDAR; Slope stability analysis; Conventional and numerical modelling (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s11069-017-3116-8

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