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Benchmarking satellite-derived shoreline mapping algorithms

dc.rights.licenseopenen_US
dc.contributor.authorVOS, K.
dc.contributor.authorSPLINTER, K
dc.contributor.authorPALOMAR-VÁZQUEZ, J.
dc.contributor.authorPARDO-PASCUAL, J
dc.contributor.authorALMONACID-CABALLER, J.
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorCABEZAS-RABADAN, Carlos
dc.contributor.authorKRAS, E
dc.contributor.authorLUIJENDIJK, A
dc.contributor.authorCALKOEN, F.
dc.contributor.authorALMEIDA, L
dc.contributor.authorPAIS, D.
dc.contributor.authorKLEIN, A
dc.contributor.authorMAO, Y.
dc.contributor.authorHARRIS, D.
hal.structure.identifierEnvironnements et Paléoenvironnements OCéaniques [EPOC]
dc.contributor.authorCASTELLE, B.
dc.contributor.authorBUSCOMBE, D.
dc.contributor.authorVITOUSEK, S.
dc.date.accessioned2024-03-11T13:23:56Z
dc.date.available2024-03-11T13:23:56Z
dc.date.issued2023-09-29
dc.identifier.issn2662-4435en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/188679
dc.description.abstractEnSatellite remote sensing is becoming a widely used monitoring technique in coastal sciences. Yet, no benchmarking studies exist that compare the performance of popular satellite-derived shoreline mapping algorithms against standardized sets of inputs and validation data. Here we present a new benchmarking framework to evaluate the accuracy of shoreline change observations extracted from publicly available satellite imagery (Landsat and Sentinel-2). Accuracy and precision of five established shoreline mapping algorithms are evaluated at four sandy beaches with varying geologic and oceanographic conditions. Comparisons against long-term in situ beach surveys reveal that all algorithms provide horizontal accuracy on the order of 10 m at microtidal sites. However, accuracy deteriorates as the tidal range increases, to more than 20 m for a high-energy macrotidal beach (Truc Vert, France) with complex foreshore morphology. The goal of this open-source, collaborative benchmarking framework is to identify areas of improvement for present algorithms, while providing a stepping stone for testing future developments, and ensuring reproducibility of methods across various research groups and applications.
dc.description.sponsorshipComprendre et prévoir l'évolution contemporaine du traite de côte dans un contexte de changement climatique par assimilation de données satellite dans les modèles hybrides - ANR-21-CE01-0015en_US
dc.language.isoENen_US
dc.title.enBenchmarking satellite-derived shoreline mapping algorithms
dc.typeArticle de revueen_US
dc.identifier.doi10.1038/s43247-023-01001-2en_US
dc.subject.halPlanète et Univers [physics]/Interfaces continentales, environnementen_US
bordeaux.journalCommunications Earth & Environmenten_US
bordeaux.page345en_US
bordeaux.volume4en_US
bordeaux.hal.laboratoriesEPOC : Environnements et Paléoenvironnements Océaniques et Continentaux - UMR 5805en_US
bordeaux.issue1en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionCNRSen_US
bordeaux.teamMETHYSen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
bordeaux.import.sourcehal
hal.identifierhal-04266379
hal.version1
hal.popularnonen_US
hal.audienceInternationaleen_US
hal.exportfalse
workflow.import.sourcehal
dc.rights.ccCC BYen_US
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Communications%20Earth%20&%20Environment&rft.date=2023-09-29&rft.volume=4&rft.issue=1&rft.spage=345&rft.epage=345&rft.eissn=2662-4435&rft.issn=2662-4435&rft.au=VOS,%20K.&SPLINTER,%20K&PALOMAR-V%C3%81ZQUEZ,%20J.&PARDO-PASCUAL,%20J&ALMONACID-CABALLER,%20J.&rft.genre=article


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