Aviso: para depositar documentos, por favor, inicia sesión e identifícate con tu cuenta de correo institucional de la UCM con el botón MI CUENTA UCM. No emplees la opción AUTENTICACIÓN CON CONTRASEÑA
 

3D model generated from UAV photogrammetry and semi-automated rock mass characterization

dc.contributor.authorHerrero Fernández, María Josefa
dc.contributor.authorPérez Fortes, Ana Patricia
dc.contributor.authorEscavy Fernández, José Ignacio
dc.contributor.authorInsua Arévalo, Juan Miguel
dc.contributor.authorHorra Del Barco, Raúl De La
dc.contributor.authorLópez Acevedo, Francisco Javier
dc.contributor.authorTrigos Luque, Laura
dc.date.accessioned2023-06-22T10:42:05Z
dc.date.available2023-06-22T10:42:05Z
dc.date.issued2022-06
dc.descriptionCRUE-CSIC (Acuerdos Transformativos 2022)
dc.description.abstractThis work develops a rock mass characterization of a limestone quarry in northern Spain based on a 3D model obtained by using photographs taken from an unmanned aerial vehicle (UAV) flight and structure-from-motion algorithms. This methodology permits to obtain photogrammetric information in a rapid and low-cost way. Geological planar facets (stratification, faults) are related to the tectonic history of a geological formation and permit assessing slope stability. The spatial orientation of planar features is usually measured with a compass and clinometer, which requires experience and knowledge, it is space limited, and sometimes hazardous. Geological 3D models can mitigate these limitations. A 3D point cloud generated from a series of images obtained using an UAV is included in the open-access applications DSE and FACET, which serve to determine the main discontinuity planes within a limestone quarry. Comparison of the results from software analyses with data hand-measured directly in the field reveals the effectiveness of the use of UAV to develop a virtual outcrop model that permits to obtain accurate measurements. The resultant quarry 3D model has been included in Sketchfab, an open access platform that permits easy and quick access and availability for a wide audience. This study shows that the use of UAV combined with structure-from-motion algorithms is of great interest for geosciences as well as other related disciplines such as mining or civil engineering, and can facilitate decision-making for policy makers and authorities. In addition, it is a technique of great use to develop rock mass characterization in a low-cost, rapid, and easy way, and permits to reach areas with difficult accessibility. This way, this methodology can also be very useful for geosciences teaching purposes, as a complement to traditional field lectures, or to develop virtual field trips and laboratories.
dc.description.departmentDepto. de Geodinámica, Estratigrafía y Paleontología
dc.description.departmentDepto. de Mineralogía y Petrología
dc.description.facultyFac. de Ciencias Geológicas
dc.description.refereedTRUE
dc.description.sponsorshipMinisterio de Ciencia e Innovación (MICINN)
dc.description.sponsorshipUniversidad Complutense de Madrid
dc.description.statuspub
dc.eprint.idhttps://eprints.ucm.es/id/eprint/72047
dc.identifier.doi10.1016/j.cageo.2022.105121
dc.identifier.issn0098-3004
dc.identifier.officialurlhttps://doi.org/10.1016/j.cageo.2022.105121
dc.identifier.urihttps://hdl.handle.net/20.500.14352/71432
dc.issue.number105121
dc.journal.titleComputers & Geosciences
dc.language.isoeng
dc.publisherElsevier
dc.relation.projectIDPID 2019-106887 GB-C33
dc.relation.projectIDPIMCD-2018-nº24; PIMCD-2019-nº 305; Proyecto Innova Docencia-2020-15; Proyecto Innova Docencia-2021-278
dc.rightsAtribución 3.0 España
dc.rights.accessRightsopen access
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/es/
dc.subject.cdu552.08
dc.subject.keywordUAV3D models
dc.subject.keywordPhotogrammetry
dc.subject.keywordSemi-automated rock-mass characterization
dc.subject.ucmGeodinámica
dc.subject.ucmPetrología
dc.subject.unesco2507 Geofísica
dc.title3D model generated from UAV photogrammetry and semi-automated rock mass characterization
dc.typejournal article
dc.volume.number163
dspace.entity.typePublication
relation.isAuthorOfPublicationb75de162-8f05-4978-b0da-5d187dafd6d0
relation.isAuthorOfPublication22b58ca5-4e22-4750-ba1a-ce2b5d5ec1f2
relation.isAuthorOfPublication509bf5dc-e657-4052-8eca-019bb7e1350b
relation.isAuthorOfPublication.latestForDiscoveryb75de162-8f05-4978-b0da-5d187dafd6d0

Download

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Herreroetal2022.pdf
Size:
5.67 MB
Format:
Adobe Portable Document Format

Collections