Extraction of discontinuity sets of rocky slopes using iPhone-12 derived 3DPC and comparison to TLS and SfM datasets

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Títol: Extraction of discontinuity sets of rocky slopes using iPhone-12 derived 3DPC and comparison to TLS and SfM datasets
Autors: Riquelme, Adrián | Tomás, Roberto | Cano, Miguel | Pastor Navarro, José Luis | Jordá Bordehore, Luis
Grups d'investigació o GITE: Ingeniería del Terreno y sus Estructuras (InTerEs)
Centre, Departament o Servei: Universidad de Alicante. Departamento de Ingeniería Civil
Paraules clau: Discontinuity sets | Rocky slopes | iPhone-12 | 3DPC | TLS | SfM
Àrees de coneixement: Ingeniería del Terreno
Data de publicació: 2021
Editor: IOP Publishing
Citació bibliogràfica: IOP Conference Series: Earth and Environmental Science. 2021, 833: 012056. https://doi.org/10.1088/1755-1315/833/1/012056
Resum: Characterisation of a rock mass requires data from the intact rock along with the discontinuities. Assuming that the discontinuities are planar, its characterisation requires its number and orientation. This leads to the analysis of the normal spacing, the persistence and the roughness, among others. The geometrical analysis of the surface enables the calculation of the parameters to characterise the discontinuities, and the use of digital datasets enhance them. Remote sensing techniques, such as the Terrestrial Laser Scanning (TLS) instruments of Structure from Motion (SfM) technique, provide 3D point clouds that enable the geometrical analysis. The scientific community has been testing both techniques since the 2000s, and companies are introducing their use in their workflows. However, the cost of the TLS instrument could still be a barrier to its use to most scholars. Because of this, the community shows a growing interest in Remotely Piloted Aircraft Systems (RPAS) equipped with digital cameras or in smartphones equipped with high-quality cameras to capture digital datasets of rocky slopes. The SfM workflow processes the captured images, reconstructing the rocky slope through a 3D point cloud and textured meshes. Although previous studies show that the SfM-derived point clouds present less quality than TLS-derived datasets in terms of accuracy, the use of SfM is still of interest because of its cost. In 2020 Apple launched the Iphone-12 device, which is equipped with a LiDAR sensor that is not used to capture the surface coordinates but to enhance the photo's quality. Since then, the community has developed several applications to reconstruct 3D surfaces using this device. This leads to consider this device as an intermediate option between the TLS and SfM to characterise rocky slopes and their discontinuities. In this communication we explore the digitalisation of a rocky slope via TLS instruments, SfM technique and using the Iphone-12 device. It comprises a 26 meter high mechanically excavated rocky slope in Cretaceous marlstones and limestones. To capture the surface, we used three configurations, and we found that to scan ground surface the distance device-surface had to be less than 3 meters. The discontinuities are characterised using the three sources of information using the DSE software. The results show a promising match compared to the TLS or SfM. This evidences that these devices will soon be widely employed for evaluating rocky slopes.
Patrocinadors: This work was partially funded by the University of Alicante (vigrob-157 and GRE18-15 Projects), the Spanish Ministry of Economy and Competitiveness (MINECO) and EU FEDER under Projects TEC2017-85244-C2-1-P.
URI: http://hdl.handle.net/10045/118244
ISSN: 1755-1307 (Print) | 1755-1315 (Online)
DOI: 10.1088/1755-1315/833/1/012056
Idioma: eng
Tipus: info:eu-repo/semantics/article
Drets: Content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Published under licence by IOP Publishing Ltd
Revisió científica: si
Versió de l'editor: https://doi.org/10.1088/1755-1315/833/1/012056
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