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Vulnerable marine ecosystems survey pilot missions with EVA Hybrid AUV/ROV

2024-04-15Conference object Restricted access
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dc.contributor.authorAlmeida, Carlos
dc.contributor.authorMartins, Alfredo
dc.contributor.authorSoares, Eduardo
dc.contributor.authorSantos, A. Miguel P.
dc.contributor.authorMatias, Bruno
dc.contributor.authorSilva, Pedro
dc.contributor.authorPereira, Ricardo
dc.contributor.authorSytnyk, Denys
dc.contributor.authorFerreira, António
dc.contributor.authorLima, Ana Paula
dc.contributor.authorCunha, Mariana R.
dc.contributor.authorRamalho, Sofia P.
dc.contributor.authorRodrigues, Clara F.
dc.contributor.authorFigueiredo, Ivone
dc.contributor.authorRosa, Marcos
dc.contributor.authorAlmeida, José
dc.date.accessioned2024-12-17T13:16:13Z
dc.date.available2024-12-17T13:16:13Z
dc.date.issued2024-04-15
dc.description.abstractFishing for deep-sea species occurs on continental slopes, ridges, and seamounts. Fishing operations using fishing gears that contact the bottom (e.g., trawls and bottom longlines) may have significant impacts on Vulnerable Marine Ecosystems (VMEs). VMEs refer to marine ecosystems with a population or community of sensitive taxa or habitats that are likely to experience substantial alteration from short-term to chronic disturbance and that are unlikely to recover during the timeframe in which the disturbance occurs. The VME concept, introduced in the United Nations General Assembly Resolution 61/105, has been worldwide applied to the management of deep-sea fisheries. However, the effective identification and management of VMEs is highly constrained by the scarcity of data on VME indicator taxa. This data deficiency is usually surpassed by the use of VME predictive modelling. Video footage is a non-destructive method commonly used for exploring and investigating areas of seabed and for characterising and identifying habitat types. Remotely Operated Vehicles (ROVs) are one of the tools for seabed mapping. ROVs range in size from small observation-class to large work-class vehicles. Their sizes determine the payload, manoeuvrability, depth rating and ultimately uses of the vehicle. For epifaunal imaging, ROVs can be used in two modes: qualitative inspections and quantitative assessments. This paper presents the development of an innovative system composed of a compact support research vessel and a hybrid autonomous underwater vehicle capable of accurate georeferenced high-resolution imaging and profiling of the seabed for a detailed survey of the seabed for biodiversity studies. The experimental results obtained by the developed system in field work in real VME survey at 600m depth are presented.eng
dc.description.sponsorshipLA/P/0063/2020
dc.identifier.doi10.1109/oceans51537.2024.10682401
dc.identifier.isbn979-8-3503-6207-7/24
dc.identifier.urihttp://hdl.handle.net/10400.1/26502
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationCentre for Environmental and Marine Studies
dc.relationCentre for Environmental and Marine Studies
dc.relationCentre for Environmental and Marine Studies
dc.relation.ispartofOCEANS 2024 - Singapore
dc.rights.uriN/A
dc.subjectVME
dc.subjectAUV
dc.subjectDeep-sea
dc.titleVulnerable marine ecosystems survey pilot missions with EVA Hybrid AUV/ROVeng
dc.typeconference object
dspace.entity.typePublication
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardTitleCentre for Environmental and Marine Studies
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04326%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0101%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F50017%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50017%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0094%2F2020/PT
oaire.citation.conferencePlaceSINGAPORE
oaire.citation.titleOCEANS 2024 - SINGAPORE
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
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oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSantos
person.givenNameA. Miguel P.
person.identifier290283
person.identifier.ciencia-id541E-93D0-BFC3
person.identifier.orcid0000-0001-9401-3504
person.identifier.ridG-6030-2011
person.identifier.scopus-author-id25926746100
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project.funder.nameFundação para a Ciência e a Tecnologia
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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
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