Terrestrial laser scanning of rock slope instabilities

TLDR

TLS has become increasingly popular for rock slope studies, yet a comprehensive review of its key developments and best practices is lacking, despite its ability to remotely capture slope discontinuities, monitor rockfall rates, and model deformation, while facing challenges such as surface fractality and early deformation detection. This review aims to synthesize current TLS applications in rock slope characterization and to identify future research directions, including algorithmic advances and cross‑disciplinary techniques. TLS provides dense, accurate 3D terrain data with rapid acquisition and efficient post‑processing, enabling quantification of rock slope instability parameters across spatial scales from decimetres to cubic metres and temporal scales from hours to years. © 2013 John Wiley & Sons, Ltd.

Abstract

ABSTRACT This manuscript presents a review on the application of a remote sensing technique (terrestrial laser scanning, TLS) to a well‐known topic (rock slope characterization and monitoring). Although the number of publications on the use of TLS in rock slope studies has rapidly increased in the last 5–10 years, little effort has been made to review the key developments, establish a code of best practice and unify future research approaches. The acquisition of dense 3D terrain information with high accuracy, high data acquisition speed and increasingly efficient post‐processing workflows is helping to better quantify key parameters of rock slope instabilities across spatial and temporal scales ranging from cubic decimetres to millions of cubic metres and from hours to years, respectively. Key insights into the use of TLS in rock slope investigations include: (a) the capability of remotely obtaining the orientation of slope discontinuities, which constitutes a great step forward in rock mechanics; (b) the possibility to monitor rock slopes which allows not only the accurate quantification of rockfall rates across wide areas but also the spatio‐temporal modelling of rock slope deformation with an unprecedented level of detail. Studying rock slopes using TLS presents a series of key challenges, from accounting for the fractal character of rock surface to detecting the precursory deformation that may help in the future prediction of rock failures. Further investigation on the development of new algorithms for point cloud filtering, segmentation, feature extraction, deformation tracking and change detection will significantly improve our understanding on how rock slopes behave and evolve. Perspectives include the use of new 3D sensing devices and the adaptation of techniques and methods recently developed in other disciplines as robotics and 3D computer‐vision to rock slope instabilities research. Copyright © 2013 John Wiley & Sons, Ltd.