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Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study

2021-01-26Artigo científico Acesso aberto
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datacite.subject.fosCiências Naturais::Ciências da Terra e do Ambiente
datacite.subject.sdg07:Energias Renováveis e Acessíveis
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorPereira, Luísa Gomes
dc.contributor.authorFernandez, Paulo
dc.contributor.authorMourato, Sandra
dc.contributor.authorMatos, Jorge
dc.contributor.authorMayer, Cedric
dc.contributor.authorMarques, Fábio
dc.date.accessioned2026-05-21T10:18:32Z
dc.date.available2026-05-21T10:18:32Z
dc.date.issued2021-01-26
dc.description.abstractOver the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with high accuracy and/or elevated completeness, such as flood modelling, forestry, construction, and mining. Also, miniaturization within electronics played an important role as it allowed smaller and lighter aerial cameras and LiDAR systems to be carried by unmanned aerial vehicles (UAV). While the use of aerial imagery acquired with UAV is becoming a standard procedure in geo-information extraction for several applications, the use of LiDAR for this purpose is still in its infancy. In several countries, companies have started to commercialize products derived from LiDAR data acquired using a UAV but not always with the necessary expertise and experience. The LIDAR-derived products’ price has become very attractive, but their quality must meet the contracted specifications. Few studies have reported on the quality of outsourced LiDAR data acquired with UAV and the problems that need to be handled during production. There can be significant differences between the planning and execution of a commercial project and a research field campaign, particularly concerning the size of the surveyed area, the volume of the acquired data, and the strip processing. This work addresses the quality control of LiDAR UAV data through outsourcing to develop a modelling-based flood forecast and alert system. The contracted company used the Phoenix Scout-16 from Phoenix LiDAR Systems, carrying a Velodyne VLP-16 and mounted on a DJI Matrice 600 PRO Hexacopter for an area of 560 ha along a flood-prone area of the Águeda River in Central Portugal.eng
dc.description.sponsorshipFunding: This work was funded by the Operational Programme of the Centre Region, in its FEDER component, in the ambit of the project Centro-01-0145-FEDER-023566. Acknowledgments: The publication of this work was supported by the project Centro de Investigação em Ciências Geo-Espaciais, reference UIDB/00190/2020, funded by COMPETE 2020 and FCT, Portugal.
dc.identifier.citationPereira, L.G.; Fernandez, P.; Mourato, S.; Matos, J.; Mayer, C.; Marques, F. Quality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Study. Remote Sens. 2021, 13, 419. https://doi.org/ 10.3390/rs13030419.
dc.identifier.doi10.3390/rs13030419
dc.identifier.eissn2072-4292
dc.identifier.urihttp://hdl.handle.net/10400.8/16320
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI
dc.relationCentre for Research in Geospace Science
dc.relation.hasversionhttps://www.mdpi.com/2072-4292/13/3/419
dc.relation.ispartofRemote Sensing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectUAV
dc.subjectLiDAR
dc.subjectquality control
dc.titleQuality Control of Outsourced LiDAR Data Acquired with a UAV: A Case Studyeng
dc.typejournal article
dcterms.referenceswww.ffas.web.ua.pt
dspace.entity.typePublication
oaire.awardNumberUIDB/00190/2020
oaire.awardTitleCentre for Research in Geospace Science
oaire.awardURIhttp://hdl.handle.net/10400.8/16319
oaire.citation.endPage12
oaire.citation.issue3
oaire.citation.startPage1
oaire.citation.titleRemote Sensing
oaire.citation.volume13
oaire.fundingStreamConcurso de avaliação no âmbito do Programa Plurianual de Financiamento de Unidades de I&D (2017/2018) - Financiamento Base
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMourato
person.givenNameSandra
person.identifier.ciencia-idC81B-16CD-EDFE
person.identifier.orcid0000-0001-9545-2584
person.identifier.scopus-author-id56387285400
relation.isAuthorOfPublication66af47bd-4c47-48ec-8f3a-f6ce092514db
relation.isAuthorOfPublication.latestForDiscovery66af47bd-4c47-48ec-8f3a-f6ce092514db
relation.isProjectOfPublicationc7774b31-ba65-4043-897b-d74e7a4f552f
relation.isProjectOfPublication.latestForDiscoveryc7774b31-ba65-4043-897b-d74e7a4f552f

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Over the last few decades, we witnessed a revolution in acquiring very high resolution and accurate geo-information. One of the reasons was the advances in photonics and LiDAR, which had a remarkable impact in applications requiring information with high accuracy and/or elevated completeness, such as flood modelling, forestry, construction, and mining. Also, miniaturization within electronics played an important role as it allowed smaller and lighter aerial cameras and LiDAR systems to be carried by unmanned aerial vehicles (UAV). While the use of aerial imagery acquired with UAV is becoming a standard procedure in geo-information extraction for several applications, the use of LiDAR for this purpose is still in its infancy. In several countries, companies have started to commercialize products derived from LiDAR data acquired using a UAV but not always with the necessary expertise and experience. The LIDAR-derived products’ price has become very attractive, but their quality must meet the contracted specifications. Few studies have reported on the quality of outsourced LiDAR data acquired with UAV and the problems that need to be handled during production. There can be significant differences between the planning and execution of a commercial project and a research field campaign, particularly concerning the size of the surveyed area, the volume of the acquired data, and the strip processing. This work addresses the quality control of LiDAR UAV data through outsourcing to develop a modelling-based flood forecast and alert system. The contracted company used the Phoenix Scout-16 from Phoenix LiDAR Systems, carrying a Velodyne VLP-16 and mounted on a DJI Matrice 600 PRO Hexacopter for an area of 560 ha along a flood-prone area of the Águeda River in Central Portugal.
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