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
Con tecnologías de adquisición remota como la fotogrametría es posible obtener información del macizo rocoso en formatos digitales que permiten definir su posición y geometría, reduciendo 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 trabajo, 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. Mostrando un caso de estudio de prueba de la metodología y se valida con la metodología convencional. Además, se compara con otras metodologías y 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: 25 jun. 2025
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.
Citas
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CC BY-NC-ND
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Chen, J., Zhu, H., & Li, X. (2016). Automatic extraction of discontinuity orientation from rock mass surface 3D point cloud. Computers & geosciences, 95, 18-31. https://doi.org/10.1016/j.cageo.2016.06.015
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
Girardeau-Montaut, D., 2016. CloudCompare - Open Source project. Online: http://www.danielgm.net/cc/
Khanal, M.; Hasan, M.; Sterbentz, N.; Johnson, R.; Weatherly, J. Accuracy Comparison of Aerial Lidar, Mobile-Terrestrial Lidar, and UAV Photogrammetric Capture Data Elevations over Different Terrain Types. Infrastructures 2020, 5, 65. https://doi.org/10.3390/infrastructures5080065
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. (2011). Recuperado el 2023, de https://www.pix4d.com/
Rafei, M., & Yari, M. (2023). Application of Photogrammetry in Archaeology. Journal of Archaeology and Archaeometry, 2(2), 55-65. DOI: 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: Correia, A., Tinoco, J., Cortez, P., Lamas, L. (eds) Information Technology in Geo-Engineering. ICITG 2019. Springer Series in Geomechanics and Geoengineering. Springer, Cham. 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
Riquelme, A., Cano, M., Tomás, R., & Abellán, A. (2017). Identification of rock slope discontinuity sets from laser scanner and photogrammetric point clouds: A comparative analysis. Procedia engineering, 191, 838-845. https://doi.org/10.1016/j.proeng.2017.05.251
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. URL http://www. cs. washington. edu/homes/ccwu/vsfm, 14(2).
CC BY-NC-ND