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Modern Methods of Rock Mass Characterisation and Rockfall Monitoring: A Review

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Landslides: Detection, Prediction and Monitoring

Abstract

Modern methods to characterise rock masses and monitor rockfalls and rock slope stability are evolving incredibly fast during the last decade. The rapid increase in new techniques, miniaturization, affordability, computational power, or remote sensing data availability allows deployment in more areas in higher amounts with higher frequency and accuracy of acquisition. The current rapid development of monitoring methods is also induced by engineering challenges when new infrastructures are being constructed in more complicated geological conditions, like mountainous areas or deep gorges with steep slopes. This chapter brings an overview of modern methods used for rock mass characterisation and rockfall monitoring and shows the basic needs for complex monitoring systems and data processing. Finally, it describes the main groups of monitoring methods based on cluster analysis and principal trends in research papers related to modern methods in rock mass characterisation and rockfall monitoring.

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Acknowledgements

We would like to thank Charles University and the Czech Academy of Sciences for their financial support. This research was performed in the framework of the long-term conceptual development research organisation RVO: 67985891, TAČR project no. SS02030023 “Rock environment and resources” within the programme “Environment for life”, internal financing from Charles University Progress Q44 and SVV (SVV260438) and the Charles University Grant Agency (GAUK 359421).

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Correspondence to Jan Blahůt .

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Blahůt, J., Racek, O. (2023). Modern Methods of Rock Mass Characterisation and Rockfall Monitoring: A Review. In: Thambidurai, P., Singh, T.N. (eds) Landslides: Detection, Prediction and Monitoring. Springer, Cham. https://doi.org/10.1007/978-3-031-23859-8_1

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