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Mapping saltmarsh vertical distribution communities in southern Portugal using high spatiotemporal resolution satellite imagery

2025-07-17Journal article Open access
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dc.contributor.authorMartins, Márcio
dc.contributor.authorParreira, Filipe
dc.contributor.authorIto, Paula
dc.contributor.authorSantos, Rui
dc.contributor.authorGotha, Simon von sachsen-Coburg Und
dc.contributor.authorBarrena de los Santos, Carmen
dc.date.accessioned2025-07-21T10:45:13Z
dc.date.available2025-07-21T10:45:13Z
dc.date.embargo2026-07-21
dc.date.issued2025-07-17en_US
dc.date.updated2025-07-21T10:11:52Z
dc.description.abstractSaltmarshes, transitional coastal habitats between terrestrial and marine ecosystems, offer crucial ecological benefits, including coastal protection, biodiversity enhancement, water purification and carbon sequestration. However, saltmarsh areas are shrinking, primarily due to human activities. Traditional monitoring approaches for saltmarsh coverage are often costly and restricted in spatial scope, prompting a shift towards remote sensing techniques. While remote sensing has proven effective for studies that cover large spatial areas, its application for smaller areas remains challenging. In this study, we trained classification models to identify saltmarsh vegetation communities in southern Portugal. We utilized high-resolution (3-metre) and high-frequency (near-daily) imagery to optimize image selection according to tidal conditions at the time of capture and developed an elevation proxy for the intertidal zone. Our model achieved an overall accuracy of 67%, estimating a total of 4,572 ha of saltmarsh in southern Portugal, 85% located in the Ria Formosa lagoon. The middle saltmarsh zone, dominated by Atriplex portulacoides, Salicornia perennis and Salicornia fruticosa, covered the largest area. The approach presented here holds promise for further refinement, enabling automated, high-resolution monitoring of saltmarsh communities, which is essential for conservation and management initiatives.eng
dc.description.sponsorship020.03825.CEECIND; A.BG.CALL4.012.2020; Grants FAM 2023/2024
dc.description.versionN/A
dc.identifier.doi10.1080/01431161.2025.2532836en_US
dc.identifier.eissn1366-5901
dc.identifier.issn0143-1161
dc.identifier.slugcv-prod-4535970
dc.identifier.urihttp://hdl.handle.net/10400.1/27469
dc.language.isoeng
dc.peerreviewedyes
dc.publisherTaylor and Francis
dc.relationAlgarve Centre for Marine Sciences
dc.relationAlgarve Centre for Marine Sciences
dc.relationCentre for Marine and Environmental Research
dc.relationBlue carbon inventories in the warm temperate NE Atlantic seagrass meadows
dc.relationFeeding ecology of declining seahorse populations of Ria Formosa lagoon
dc.relationPresent-day and future net carbon source-sink dynamics of rhodolith beds: Implications for climate change mitigation
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.titleMapping saltmarsh vertical distribution communities in southern Portugal using high spatiotemporal resolution satellite imageryen_US
dc.typejournal articleen_US
dspace.entity.typePublication
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleAlgarve Centre for Marine Sciences
oaire.awardTitleCentre for Marine and Environmental Research
oaire.awardTitleBlue carbon inventories in the warm temperate NE Atlantic seagrass meadows
oaire.awardTitleFeeding ecology of declining seahorse populations of Ria Formosa lagoon
oaire.awardTitlePresent-day and future net carbon source-sink dynamics of rhodolith beds: Implications for climate change mitigation
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//2020.06996.BD/PT
oaire.awardURIhttp://hdl.handle.net/10400.1/27468
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/CEEC IND 3ed/2020.01282.CEECIND%2FCP1597%2FCT0003/PT
oaire.citation.titleInternational Journal of Remote Sensingen_US
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStreamOE
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oaire.versionhttp://purl.org/coar/version/c_b1a7d7d4d402bcce
person.familyNameMartins
person.familyNameParreira
person.familyNameSantos
person.familyNameBarrena de los Santos
person.givenNameMárcio
person.givenNameFilipe
person.givenNameRui
person.givenNameCarmen
person.identifier42560
person.identifier.ciencia-idB511-7AB1-159B
person.identifier.ciencia-id0213-723C-8560
person.identifier.ciencia-id9B18-444D-2244
person.identifier.ciencia-idC317-02C0-516E
person.identifier.orcid0000-0002-6969-2215
person.identifier.orcid0000-0002-6898-4742
person.identifier.orcid0000-0002-7861-4366
person.identifier.orcid0000-0002-7013-494X
person.identifier.ridB-4168-2008
person.identifier.ridL-3723-2014
person.identifier.scopus-author-id7201375018
person.identifier.scopus-author-id26427612000
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.cv.cienciaidB511-7AB1-159B | Márcio Martins
rcaap.rightsembargoedAccessen_US
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