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Effect of survey parameters on unmanned aerial vehicles-derived topography for coastal dune monitoring

2022Journal article Open access
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dc.contributor.authorBon de Sousa, Luísa
dc.contributor.authorCostas, Susana
dc.contributor.authorFerreira, Óscar
dc.date.accessioned2023-01-18T10:02:31Z
dc.date.available2023-01-18T10:02:31Z
dc.date.issued2022
dc.description.abstractCoastal dunes are fragile ecosystems emerging at the interface between marine and continental environments. They provide multiple services, among which are the protection against the impact of storms and the hosting of diverse and unique species of fauna and flora. However, changes in the topography or biological component of these systems may endanger the perpetuation of service provision. Topographic changes within dunes can significantly differ in magnitude depending on the type of process (i.e., marine or aeolian) and the temporal scale of analysis (event to annual scale), making their monitoring a challenging task. In recent years, unmanned aerial vehicles (UAVs) have been increasingly used to monitor coastal dunes, proving to be a cost-efficient methodology for the collection of topographic data. Yet, the application of UAVs in combination with the structure from motion approach to obtain digital surface models (DSMs) presents some limitations related to the level of accuracy provided for the evaluation of topographical changes in dunes with low sedimentation rates. This work explores different survey configurations using UAVs flying at low altitudes with the aim of obtaining high-quality DSMs with vertical accuracies preferably around or lower than 0.04 m. Several tests were performed to evaluate the influence of different parameters on the accuracy of the DSM, including flight altitude and orientation, density and spatial distribution of ground control points (GCPs), terrain slope, vegetation cover, and sun-related parameters. The results indicate that the intended accuracies can be obtained by combining overlapped perpendicular flights, GCPs distributed regularly following a diamond grid, with densities of at least 6 GCPs per hectare, sun altitudes between 30 and 40 deg, and a total solar radiation per hour between 1750 and 2250 KJ / m(2). In addition, better results were obtained across gentle slope areas, suggesting the eventual need to adapt to the particularities of each site to ensure the accuracy.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1117/1.JRS.16.034513pt_PT
dc.identifier.issn1931-3195
dc.identifier.urihttp://hdl.handle.net/10400.1/18840
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSPIEpt_PT
dc.relationAvaliação da capacidade funcional das dunas costeiras
dc.relationCoupling onshore and offshore tsunami record: complementary tools for a broader perspective on tsunami events
dc.relationCentre for Marine and Environmental Research (CIMA)
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectVertical accuracypt_PT
dc.subjectGround control pointspt_PT
dc.subjectSun-related parameterspt_PT
dc.titleEffect of survey parameters on unmanned aerial vehicles-derived topography for coastal dune monitoringpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleAvaliação da capacidade funcional das dunas costeiras
oaire.awardTitleCoupling onshore and offshore tsunami record: complementary tools for a broader perspective on tsunami events
oaire.awardTitleCentre for Marine and Environmental Research (CIMA)
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F144869%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCTA-GFI%2F28949%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCTA-GEO%2F28941%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/9471 - RIDTI/PTDC%2FCTA-OHR%2F28657%2F2017/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F00350%2F2020/PT
oaire.citation.issue03pt_PT
oaire.citation.titleJournal of Applied Remote Sensingpt_PT
oaire.citation.volume16pt_PT
oaire.fundingStreamOE
oaire.fundingStream9471 - RIDTI
oaire.fundingStream9471 - RIDTI
oaire.fundingStream9471 - RIDTI
oaire.fundingStream6817 - DCRRNI ID
person.familyNameSerrão Bon de Sousa
person.familyNameCostas
person.familyNameRamos Ferreira
person.givenNameMaria Luísa
person.givenNameSusana
person.givenNameÓscar Manuel
person.identifier1448818
person.identifierAAQ-8792-2020
person.identifier.ciencia-idE218-3C8E-DF78
person.identifier.ciencia-idAF19-9EEE-7550
person.identifier.ciencia-id3E1E-B010-2453
person.identifier.orcid0000-0002-8583-8771
person.identifier.orcid0000-0002-4005-077X
person.identifier.orcid0000-0002-1703-347X
person.identifier.scopus-author-id9043656500
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
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