Articles | Volume 18, issue 1
Nat. Hazards Earth Syst. Sci., 18, 287–302, 2018
https://doi.org/10.5194/nhess-18-287-2018

Special issue: The use of remotely piloted aircraft systems (RPAS) in monitoring...

Nat. Hazards Earth Syst. Sci., 18, 287–302, 2018
https://doi.org/10.5194/nhess-18-287-2018
Research article
19 Jan 2018
Research article | 19 Jan 2018

Use of a remotely piloted aircraft system for hazard assessment in a rocky mining area (Lucca, Italy)

Riccardo Salvini et al.

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Cited articles

Agisoft: Agisoft PhotoScan User Manual Professional Edition, Version 1.2.5, 97 pp., 2016.
Assali, P., Grussenmeyer, P., Villemin, T., Pollet, N., and Viguier, F.: Surveying and modeling of rock discontinuities by terrestrial laser scanning and photogrammetry: Semi-automatic approaches for linear outcrop inspection, J. Struct. Geol., 66, 102–114, 2014.
Bieniawski, Z. T.: Engineering Rock Masses Classification, Wiley, New York, 251 pp., 1989.
Carmignani, L. and Kligfield, R.: Crustal extension in the Northern Apennines: the transition from compression to extension in the Alpi Apuane core complex, Tectonics, 9, 1275–1303, 1990.
Chang, C. T., Monteiro, P., Nemati, K., and Shyu, K.: Behavior of Marble under compression, J. Mater. Civil Eng., 8, 157–170, 1996.
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Short summary
Remotely Piloted Aircraft System was used for the engineering geological investigation of a marble mine area in Italy. High resolution images were processed by using SfM techniques for obtaining an accurate and detailed three-dimensional model of the area. Geological and geometrical information was used for a preliminary stability analysis with focus on investigating the contribution of potential rock bridges of two large blocks that pose a potential hazard issue for the workforce.
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