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A Structure-from-Motion Pipeline for Generating Digital Elevation Models for Surface-Runoff Analysis

dc.contributor.editorPerez-Taborda J.A.
dc.contributor.editorAvila Bernal A.G.
dc.creatorMeza J.
dc.creatorMarrugo A.G.
dc.creatorOspina G.
dc.creatorGuerrero M.
dc.creatorRomero L.A.
dc.date.accessioned2020-03-26T16:41:24Z
dc.date.available2020-03-26T16:41:24Z
dc.date.issued2019
dc.identifier.citationMeza J., Marrugo A.G., Ospina G., Guerrero M. y Romero L.A. (2019) A Structure-from-Motion Pipeline for Generating Digital Elevation Models for Surface-Runoff Analysis. Journal of Physics: Conference Series; Vol. 1247, Núm. 1
dc.identifier.issn17426588
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9234
dc.description.abstractDigital Elevation Models (DEMs) are used to derive information from the morphology of a land. The topographic attributes obtained from the DEM data allow the construction of watershed delineation useful for predicting the behavior of systems and for studying hydrological processes. Imagery acquired from Unmanned Aerial Vehicles (UAVs) and 3D photogrammetry techniques offer cost-effective advantages over other remote sensing methods such as LIDAR or RADAR. In particular, a high spatial resolution for measuring the terrain microtopography. In this work, we propose a Structure from Motion (SfM) pipeline using UAVs for generating high-resolution, high-quality DEMs for developing a rainfall-runoff model to study flood areas. SfM is a computer vision technique that simultaneously estimates the 3D coordinates of a scene and the pose of a camera that moves around it. The result is a 3D point cloud which we process to obtain a georeference model from the GPS information of the camera and ground control points. The pipeline is based on open source software OpenSfM and OpenDroneMap. Encouraging experimental results on a test land show that the produced DEMs meet the metrological requirements for developing a surface-runoff model. © Published under licence by IOP Publishing Ltd.eng
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Physics Publishing
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85073914844&doi=10.1088%2f1742-6596%2f1247%2f1%2f012039&partnerID=40&md5=c602b10d3665e588f5ea3c184a840ba2
dc.sourceScopus2-s2.0-85073914844
dc.titleA Structure-from-Motion Pipeline for Generating Digital Elevation Models for Surface-Runoff Analysis
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dcterms.bibliographicCitationhttps://github.com/OpenDroneMap/OpenDroneMap, Opendronemap
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datacite.rightshttp://purl.org/coar/access_right/c_abf2
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event6th National Conference on Engineering Physics, CNIF 2018 and the 1st International Conference on Applied Physics Engineering and Innovation, APEI 2018
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1088/1742-6596/1247/1/012039
dc.subject.keywordsAntennas
dc.subject.keywordsCameras
dc.subject.keywordsCost effectiveness
dc.subject.keywordsDigital instruments
dc.subject.keywordsEngineering research
dc.subject.keywordsGeomorphology
dc.subject.keywordsMorphology
dc.subject.keywordsObject recognition
dc.subject.keywordsOpen source software
dc.subject.keywordsOpen systems
dc.subject.keywordsOptical radar
dc.subject.keywordsPipelines
dc.subject.keywordsRemote sensing
dc.subject.keywordsRock mechanics
dc.subject.keywordsRunoff
dc.subject.keywordsComputer vision techniques
dc.subject.keywordsDigital elevation model
dc.subject.keywordsGround control points
dc.subject.keywordsHigh spatial resolution
dc.subject.keywordsRainfall-runoff modeling
dc.subject.keywordsStructure from motion
dc.subject.keywordsSurface runoff modeling
dc.subject.keywordsWatershed delineation
dc.subject.keywordsSurveying
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.description.notesThis work has been partly funded by Universidad Tecnológica de Bolívar project (FI2006T2001). The authors thank Direccion de Investigaciones Universidad Tecnologica de Bolivar for their support.
dc.relation.conferencedate22 October 2018 through 26 October 2018
dc.type.spaConferencia
dc.identifier.orcid57204065355
dc.identifier.orcid24329839300
dc.identifier.orcid57211428345
dc.identifier.orcid57200615582
dc.identifier.orcid36142156300


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