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Sensing short-term adaptive cycles in mesotidal energetic beaches from satellite imagery

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datacite.subject.sdg14:Proteger a Vida Marinha
datacite.subject.sdg13:Ação Climática
datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
dc.contributor.authorCostas, Susana
dc.contributor.authorSantos, Jacqueline
dc.contributor.authorDoherty, Yarran
dc.contributor.authorSplinter, Kristen D.
dc.contributor.authorSerrão Bon de Sousa, Maria Luísa
dc.contributor.authorKombiadou, Katerina
dc.contributor.authorPlomaritis, Theocharis
dc.contributor.authorTaborda, Rui
dc.date.accessioned2026-07-21T14:34:08Z
dc.date.available2026-07-21T14:34:08Z
dc.date.issued2026
dc.description.abstractThe rapid development of approaches to automatically detect and extract shorelines from satellite imagery is revolutionizing the way we study coastal systems, offering deeper insights into their dynamic responses and adaptive capacities. This study evaluates the performance of the CoastSat toolkit in detect-ing shoreline retreat and recovery at Praia de Faro beach, South Portugal, following storm Emma in March 2018. The mesotidal, low-tide-terrace beach experienced significant erosion, with an average retreat of 20 m. PlanetScope imagery is used to assess shoreline detection accuracy, due to its higher temporal coverage com-pared to other open-access satellite constellations. This includes understanding the correspondence between the detected waterline and two water levels: the tide level and the instantaneous water level (combined effect of wave runup and tide). Linear water level corrections are applied to horizontally translate the detected water levels to a reference elevation that enables temporal comparisons. Results suggest that beach morphology strongly influences optimal correction approaches due to the type of beach response to storms, such as profile rotation. Under non-storm conditions, detected waterlines generally represent astronomic tide levels. While tide-level-based corrections improve accuracy during storms, runup-based corrections consistently outperform under non-storm conditions. Consequently, applying corrections that account for slope changes, runup levels during non-storm conditions, and tide level under storms enables the detection of storm impacts and recovery with an accuracy of approximately 6 m in Praia de Faro. These findings highlight the importance of tailoring detection methodologies to the morphological state of the beach as it evolves over time.eng
dc.description.sponsorship021.04286.CEECIND/CP1672/CT0001; CEECINST/00146/2018/CP1493/CT0011; UID/00350/2020
dc.identifier.doi10.1007/978-3-032-15477-4_66
dc.identifier.eissn2211-0585
dc.identifier.isbn9783032154767
dc.identifier.isbn9783032154774
dc.identifier.issn2211-0577
dc.identifier.urihttp://hdl.handle.net/10400.1/29294
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSpringer
dc.relationAvaliação da capacidade funcional das dunas costeiras
dc.relationAquatic Research Infrastructure Network
dc.relation.ispartofCoastal Research Library
dc.relation.ispartofCoastal Dynamics 2025
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectShoreline detection
dc.subjectStorms
dc.subjectMorphological state
dc.titleSensing short-term adaptive cycles in mesotidal energetic beaches from satellite imageryeng
dc.typebook part
dspace.entity.typePublication
oaire.awardNumberSFRH/BD/144869/2019
oaire.awardNumberLA/P/0069/2020
oaire.awardTitleAvaliação da capacidade funcional das dunas costeiras
oaire.awardTitleAquatic Research Infrastructure Network
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/OE/SFRH%2FBD%2F144869%2F2019/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0069%2F2020/PT
oaire.citation.endPage440
oaire.citation.startPage434
oaire.citation.titleCoastal Dynamics 2025
oaire.citation.volume2
oaire.fundingStreamOE
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameCostas
person.familyNameSantos
person.familyNameSerrão Bon de Sousa
person.familyNameKombiadou
person.givenNameSusana
person.givenNameJacqueline
person.givenNameMaria Luísa
person.givenNameKaterina
person.identifier1448818
person.identifier.ciencia-idAF19-9EEE-7550
person.identifier.ciencia-idE218-3C8E-DF78
person.identifier.ciencia-id1813-F159-070B
person.identifier.orcid0000-0002-4005-077X
person.identifier.orcid0000-0002-8838-0444
person.identifier.orcid0000-0002-8583-8771
person.identifier.orcid0000-0003-1199-1236
person.identifier.ridM-7458-2017
person.identifier.scopus-author-id9043656500
person.identifier.scopus-author-id16029005200
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
relation.isAuthorOfPublication62d73183-10ba-42ca-80a7-458c42d1375b
relation.isAuthorOfPublicatione2d1e951-d081-48bf-a4a5-892c305ebbc6
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