An intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensing

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dc.contributor.authorBrewin, Robert J. W.
dc.contributor.authorHardman-Mountford, Nick J.
dc.contributor.authorLavender, Samantha J.
dc.contributor.authorRaitsos, Dionysios E.
dc.contributor.authorHirata, Takafumi
dc.contributor.authorUitz, Julia
dc.contributor.authorDevred, Emmanuel
dc.contributor.authorBricaud, Annick
dc.contributor.authorCiotti, Aurea [UNESP]
dc.contributor.authorGentili, Bernard
dc.contributor.institutionUniv Plymouth
dc.contributor.institutionPML
dc.contributor.institutionARGANS Ltd
dc.contributor.institutionHCMR
dc.contributor.institutionSir Alister Hardy Fdn Ocean Sci
dc.contributor.institutionUniv Calif San Diego
dc.contributor.institutionDalhousie Univ
dc.contributor.institutionBedford Inst Oceanog
dc.contributor.institutionUniv Paris 06
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T15:31:32Z
dc.date.available2014-05-20T15:31:32Z
dc.date.issued2011-02-15
dc.description.abstractSatellite remote sensing of ocean colour is the only method currently available for synoptically measuring wide-area properties of ocean ecosystems, such as phytoplankton chlorophyll biomass. Recently, a variety of bio-optical and ecological methods have been established that use satellite data to identify and differentiate between either phytoplankton functional types (PFTs) or phytoplankton size classes (PSCs). In this study, several of these techniques were evaluated against in situ observations to determine their ability to detect dominant phytoplankton size classes (micro-, nano- and picoplankton). The techniques are applied to a 10-year ocean-colour data series from the SeaWiFS satellite sensor and compared with in situ data (6504 samples) from a variety of locations in the global ocean. Results show that spectral-response, ecological and abundance-based approaches can all perform with similar accuracy. Detection of microplankton and picoplankton were generally better than detection of nanoplankton. Abundance-based approaches were shown to provide better spatial retrieval of PSCs. Individual model performance varied according to PSC, input satellite data sources and in situ validation data types. Uncertainty in the comparison procedure and data sources was considered. Improved availability of in situ observations would aid ongoing research in this field. (C) 2010 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniv Plymouth, Sch Marine Sci & Engn, Plymouth PL4 8AA, Devon, England
dc.description.affiliationPML, Natl Ctr Earth Observat, Plymouth PL1 3DH, Devon, England
dc.description.affiliationARGANS Ltd, Unit 3, Plymouth PL6 8BY, Devon, England
dc.description.affiliationHCMR, Anavissos 19013, Attica, Greece
dc.description.affiliationSir Alister Hardy Fdn Ocean Sci, Plymouth PL1 2PB, Devon, England
dc.description.affiliationUniv Calif San Diego, Marine Phys Lab, Scripps Inst Oceanog, La Jolla, CA 92093 USA
dc.description.affiliationDalhousie Univ, Dept Oceanog, Halifax, NS B3H 4J1, Canada
dc.description.affiliationBedford Inst Oceanog, Ocean Sci Div, Dartmouth, NS B2Y 4A2, Canada
dc.description.affiliationUniv Paris 06, CNRS, Lab Oceanog Villefranche, Villefranche Sur Mer, France
dc.description.affiliationUniv Estadual Paulista, BR-11220900 São Paulo, Brazil
dc.description.affiliationUnespUniv Estadual Paulista, BR-11220900 São Paulo, Brazil
dc.description.sponsorshipNational Environmental Research Council, UK
dc.description.sponsorshipNational Centre for Earth Observation
dc.description.sponsorshipNERC
dc.description.sponsorshipNational Aeronautics and Space Administration (NASA)
dc.format.extent325-339
dc.identifierhttp://dx.doi.org/10.1016/j.rse.2010.09.004
dc.identifier.citationRemote Sensing of Environment. New York: Elsevier B.V., v. 115, n. 2, p. 325-339, 2011.
dc.identifier.doi10.1016/j.rse.2010.09.004
dc.identifier.issn0034-4257
dc.identifier.urihttp://hdl.handle.net/11449/40644
dc.identifier.wosWOS:000286782500006
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofRemote Sensing of Environment
dc.relation.ispartofjcr6.457
dc.relation.ispartofsjr3,121
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectPhytoplanktonen
dc.subjectSizeen
dc.subjectOcean colouren
dc.subjectRemote sensingen
dc.subjectPigmenten
dc.subjectChlorophyll-aen
dc.subjectSeaWiFSen
dc.subjectAbsorptionen
dc.titleAn intercomparison of bio-optical techniques for detecting dominant phytoplankton size class from satellite remote sensingen
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.orcid0000-0001-7163-8819[9]
unesp.author.orcid0000-0001-5134-8291[1]
unesp.author.orcid0000-0002-6714-2180[4]
unesp.author.orcid0000-0003-1258-1837[5]
unesp.author.orcid0000-0002-5181-9425[3]

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