UAV-Based Geostructural Characterization of Discontinuities in a Rock Wall to Support Rockfall Stability Analyses
- Proceedings
- EUROCK 2026
- Pages
- 465-471
- Submitted
- 28 January 2026
- Accepted
- 15 June 2026
- Published
- 12 August 2026
Summary
Abstract
The characterization of discontinuity networks in rock slopes is a fundamental step for assessing block-size distribution and evaluating kinematic feasibility in rockfall modelling. This study focuses on the geostructural analysis of the Groppo Sovrano cliff (Parma Province, Northern Italy), a sandstone slope located in close proximity Provincial Road SP75 and affected by recurrent block detachments, which hindered the road accessibility and caused its closure. To capture the morphology of the nearly vertical and partially inaccessible rock wall, a high-resolution UAV survey combining photogrammetry and laser scanning was carried out. The integration of these datasets produced a dense, georeferenced 3D point cloud that served as the basis for a detailed structural interpretation. The main families of discontinuities were identified by extracting planar features and subsequent clustering of their orientations by defining virtual scanlines across the point cloud, in order to obtain statistically consistent measurements of discontinuity spacing. The primary objective of the investigation was to quantify block dimensions and provide useful insights for numerical rockfall modelling purposes. By integrating remote sensing data, discontinuity mapping, and spacing analysis, the study establishes a coherent framework for the execution of appropriate stability analyses focused on the potential detachment of rock blocks from the cliff, consequently allowing for the identification and planning of mitigation measures to protect the Provincial Road located below the rock wall.
Index terms
Keywords
Full text
Attachments
Works cited
References
- Briones-Bitar J, Carrión-Mero P, Montalván-Burbano N, Morante-Carballo F (2020) Rockfall Research: A Bibliometric Analysis and Future Trends. Geosciences 10(10). https://doi.org/10.3390/geosciences10100403
- Chelli A, Tellini C (2002) Geomorphological features of the Bratica Valley (Northern Apennines, Italy). Geografia Fisica e Dinamica Quaternaria 25(1):45–60
- Crosta GB, Agliardi F, Frattini P, Lari S (2015) Key Issues in Rock Fall Modeling, Hazard and Risk Assessment for Rockfall Protection. In: Lollino G, Giordan D, Crosta GB, Corominas J, Azzam R, Wasowski J, Sciarra N (eds) Engineering Geology for Society and Territory - Volume 2. Springer International Publishing, Cham, pp 43–58
- Ferrari F, Giacomini A, Thoeni K (2016) Qualitative Rockfall Hazard Assessment: A Comprehensive Review of Current Practices. Rock Mech Rock Eng 49(7):2865–2922. https://doi.org/10.1007/s00603-016-0918-z
- Ferrero AM, Migliazza MR, Pirulli M, Umili G (2016) Some Open Issues on Rockfall Hazard Analysis in Fractured Rock Mass: Problems and Prospects. Rock Mech Rock Eng 49(9):3615–3629. https://doi.org/10.1007/s00603-016-1004-2
- Ferrero AM, Migliazza MR, Umili G (2014) Rock Mass Characterization by Means of Advanced Survey Methods. OnePetro
- Giacomini A, Thoeni K, Santise M, Diotri F, Booth S, Fityus S, Roncella R (2020) Temporal-Spatial Frequency Rockfall Data from Open-Pit Highwalls Using a Low-Cost Monitoring System. Remote Sensing 12(15). https://doi.org/10.3390/rs12152459
- He Y, Nie L, Lv Y, Wang H, Jiang S, Zhao X (2021) The study of rockfall trajectory and kinetic energy distribution based on numerical simulations. Nat Hazards 106(1):213–233. https://doi.org/10.1007/s11069-020-04457-z
- Li L, Lan H (2015) Probabilistic modeling of rockfall trajectories: a review. Bull Eng Geol Environ 74(4):1163–1176. https://doi.org/10.1007/s10064-015-0718-9
- Scavia C, Barbero M, Castelli M, Marchelli M, Peila D, Torsello G, Vallero G (2020) Evaluating Rockfall Risk: Some Critical Aspects. Geosciences 10(3):98. https://doi.org/10.3390/geosciences10030098
- Segalini A, Valletta A, Carri A, Savi R (2023) Impact identification on flexible rockfall barriers: on site test of a wireless monitoring system. IOP Conf Ser: Earth Environ Sci 1124(1):012125. https://doi.org/10.1088/1755-1315/1124/1/012125
- Sun J, Zhu S, Sun J, Zhou J, Yao Y, Wang Y, Zhang J, Zhou B, Wang X (2025) A robust deep learning approach for rock discontinuity identification from large scale 3D point clouds. Sci Rep 16(1):1654. https://doi.org/10.1038/s41598-025-31137-4
- Umili G, Taboni B, Ferrero AM (2023) Influence of uncertainties: A focus on block volume and shape assessment for rockfall analysis. Journal of Rock Mechanics and Geotechnical Engineering 15(9):2250–2263. https://doi.org/10.1016/j.jrmge.2023.03.016
- Valletta A, Carri A, Segalini A (2019) Innovative monitoring instruments as support tools for natural risks management. ROL 48/2019. https://doi.org/10.3301/ROL.2019.44
- Valletta A, Segalini A (2026) Risk assessment of the Groppo Sovrano rock wall: interaction between rockfall dynamics and a Provincial Road through 3D analysis. Transportation Research Procedia 93:793–799. https://doi.org/10.1016/j.trpro.2025.12.005
- Varnes D (1978) Slope movement types and processes. In: Schuster RL, Krizek RJ (eds) Landslide analysis and control. Transportation Research Board, Special report 176. National Academy Sciences, Washington, DC, pp 11–33
- Vescovi P, Villa G, Barbieri G (1998) L’unità tettonica Groppo Sovrano (alta Val Bratica - Provincia di Parma). Atti Ticinensi di Scienze della Terra 40:15–31
- Zanzucchi G (1980) I lineamenti geologici dell’Appennino parmense. Note illustrative alla carta e sezioni geologiche della provincia di Parma e zone limitrofe (1:100.000). STEP, Parma, Italy
- Zhu R, Xia Y, Zhang S, Wang Y (2025) Stability Assessment of Hazardous Rock Masses and Rockfall Trajectory Prediction Using LiDAR Point Clouds. Applied Sciences 15(12). https://doi.org/10.3390/app15126709