High-Resolution UAV-Videogrammetry for Discontinuity Mapping in Steep Rock Slopes
DOI:
https://doi.org/10.64862/Keywords:
UAV-Videogrammetry, Rock Mass Discontinuities, 3D Point CloudAbstract
Characterizing rock mass discontinuities in steep and complex terrain is a critical challenge in geotechnical engineering. Conventional field surveys are often unsafe and provide limited data, while standard UAV-based photogrammetry can be constrained by fixed flight plans and conclusions. This study presents a UAV-videogrammetry workflow for generating high-resolution, spatially accurate 3D models of rock slopes for detailed discontinuity analysis. By capturing continuous 4K video with a UAV in a dynamic, free-flight mode, we achieve dense surface coverage, even in geometrically complex areas like overhangs and recessed zones. A novel semi-georeferencing technique using coded targets enables precise model alignment in a local coordinate system without requiring GNSS, enhancing field applicability. Comparative analysis demonstrates that this approach yields a 20-fold increase in point cloud density and superior orientation accuracy (RMSE of 2∘ for dip, 7∘ for dip direction) compared to conventional methods. The resulting high-fidelity models allow for more complete joint set identification and a more comprehensive kinematic stability assessment, providing a safer, more efficient, and scalable solution for rock slope characterization.
References
Elkhrachy, I. (2021). Accuracy assessment of low-cost unmanned aerial vehicle (UAV) photogrammetry. Alexandria Engineering Journal, 60 (6), 5579–5590. https://doi.org/10.1016/j.aej.2021.04.011
Riquelme, A. J., Abellán, A., Tomás, R., and Jaboyedoff, M. (2014). A new approach for semi-automatic rock mass joints recognition from 3D point clouds. Computers and Geosciences, 68, 38–52. https://doi.org/10.1016/j.cageo.2014.03.014
Wang, D.-J., Tang, H., Shen, P., Su, X., and Huang, L. (2020). Co-effects of bedding planes and parallel flaws on fracture evolution in anisotropic rocks. Engineering Geology, 264, 105382. https://doi.org/10.1016/j.enggeo.2019.105382
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The data that support the findings of this study are available from the corresponding author upon reasonable request
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