Metodología para identificar discontinuidades en macizos rocosos mediante procesos semiautomáticos con fotogrametría y UAV
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sep 30, 2024
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https://doi.org/10.30878/ces.v32n0a17
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Marsella Gissel Rodríguez Servín
http://orcid.org/0009-0009-0157-3111
Luis Alberto Morales Rosales
http://orcid.org/0000-0002-4753-9375
José Eleazar Arreygue Rocha
http://orcid.org/0000-0002-5889-7661
http://orcid.org/0009-0009-0157-3111
Luis Alberto Morales Rosales
http://orcid.org/0000-0002-4753-9375
José Eleazar Arreygue Rocha
http://orcid.org/0000-0002-5889-7661
Resumen
Es posible obtener información del macizo rocoso a partir de formatos digitales que permiten definir su posición y geometría con tecnologías de adquisición remota como la fotogrametría, las cuales reducen las adversidades del método convencional como la dificultad de acceso al sitio, el tiempo de captura, imprecisión en mediciones o la influencia del criterio del experto al realizar estimaciones. En este contexto, se presenta una metodología que utiliza la técnica de fotogrametría con naves aéreas no tripuladas (UAV) y procesos de toma de decisión semiautomáticos para la identificación de discontinuidades de un macizo rocoso a partir de un caso de estudio de prueba y se valida con la metodología convencional. Además de compararlas con otras, se analizan las ventajas y limitaciones de la propuesta.
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RODRÍGUEZ SERVÍN, Marsella Gissel; MORALES ROSALES, Luis Alberto; ARREYGUE ROCHA, José Eleazar.
Metodología para identificar discontinuidades en macizos rocosos mediante procesos semiautomáticos con fotogrametría y UAV.
CIENCIA ergo-sum, [S.l.], v. 32, sep. 2024.
ISSN 2395-8782.
Disponible en: <https://cienciaergosum.uaemex.mx/article/view/21645>. Fecha de acceso: 09 mayo 2026
doi: https://doi.org/10.30878/ces.v32n0a17.
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Esta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial-SinObrasDerivadas 4.0.
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Durgan, S. D., Zhang, C., Duecaster, A., Fourney, F., & Su, H. (2020). Unmanned aircraft system photogrammetry for mapping diverse vegetation species in a heterogeneous coastal wetland. Wetlands, 40, 2621-2633. https://doi.org/10.1007/s13157-020-01373-7
Esposito, G., Mastrorocco, G., Salvini, R., Oliveti, M., & Starita, P. (2017). Application of UAV photogrammetry for the multi-temporal estimation of surface extent and volumetric excavation in the Sa Pigada Bianca open-pit mine, Sardinia, Italy. Environmental Earth Sciences, 76(3), 103.
Feng, Q., & Röshoff, K. (2014). A survey of 3D laser scanning techniques for application to rock mechanics and rock engineering. In The ISRM Suggested Methods for Rock Characterization, Testing and Monitoring: 2007-2014 (pp. 265-293). Cham: Springer International Publishing.
Girardeau-Montaut, D. (2016). CloudCompare. Open Source Project. http://www.danielgm.net/cc/
Kong, D., Saroglou, C., Wu, F., Sha, P., & Li, B. (2021). Development and application of UAV-SfM photogrammetry for quantitative characterization of rock mass discontinuities. International Journal of Rock Mechanics and Mining Sciences, 141, 104729. https://doi.org/10.1016/j.ijrmms.2021.104729
Liu, C., Liu, X., Peng, X., Wang, E., & Wang, S. (2019). Application of 3D-DDA integrated with unmanned aerial vehicle–laser scanner (UAV-LS) photogrammetry for stability analysis of a blocky rock mass slope. Landslides, 16, 1645-1661. https://doi.org/10.1007/s10346-019-01196-6
Miranda-Gómez, R., Cabadas-Báez, H. V., Antonio-Némiga, X., & Dávila-Hernández, N. (2022). Geospatial integration in mapping pre-Hispanic settlements within Aztec empire limits. Virtual Archaeology Review, 13(27), 49-65. https://doi.org/10.4995/var.2022.16106
Pagano, M., Palma, B., Ruocco, A., & Parise, M. (2020). Discontinuity characterization of rock masses through terrestrial laser scanner and unmanned aerial vehicle techniques aimed at slope stability assessment. Applied Sciences, 10(8), 2960. https://doi.org/10.3390/app10082960
Pix4D S.A. (2023). Pix4D S. A. Software 2011. https://www.pix4d.com/
Rafee, M., & Yari, M. (2023). Application of Photogrammetry in Archaeology. Journal of Archaeology and Archaeometry, 2(2), 55-65. https://doi.org/10.30495/JAA.2023.1993318.1013
Riquelme, A., Araújo, N., Cano, M., Pastor, J. L., Tomás, R., & Miranda, T. (2020). Identification of Persistent Discontinuities on a Granitic Rock Mass Through 3D Datasets and Traditional Fieldwork: A Comparative Analysis. In A. Correia, J. Tinoco, P. Cortez, & L. Lamas (Eds.), Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer. https://doi.org/10.1007/978-3-030-32029-4_73
Riquelme, A. J., Abellán, A., & Tomás, R. (2015). Discontinuity spacing analysis in rock masses using 3D point clouds. Engineering Geology, 195, 185-195. https://doi.org/10.1016/j.enggeo.2015.06.009
Riquelme, A. J., Abellán, A., Tomás, R., & Jaboyedoff, M. (2014). A new approach for semi-automatic rock mass joints recognition from 3D point clouds. Computers & Geosciences, 68, 38-52. https://doi.org/10.1016/j.cageo.2014.03.014
Tomás, R., Riquelme, A., Cano, M., Pastor, J. L., Pagán, J. I., Asensio, J. L., & Ruffo, M. (2020). Evaluación de la estabilidad de taludes rocosos a partir de nubes de puntos 3D obtenidas con un vehículo aéreo no tripulado. Revista de Teledetección, 55, 1-15. https://doi.org/10.4995/raet.2020.13168
Wu, C. (2011). VisualSFM: A Visual Structure from Motion System 2011. http://www.cs.washington.edu/homes/ccwu/vsfm, 14(2).