An assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoir

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dc.contributor.authorAndrade, Caroline [UNESP]
dc.contributor.authorAlcantara, Enner [UNESP]
dc.contributor.authorBernardo, Nariane [UNESP]
dc.contributor.authorKampel, Milton
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionNatl Inst Space Res
dc.date.accessioned2019-10-04T12:36:48Z
dc.date.available2019-10-04T12:36:48Z
dc.date.issued2019-04-01
dc.description.abstractMonitoring chlorophyll-a (Chl-a) concentrations in inland waters is crucial for water quality management, since Chl-a is a proxy for phytoplankton biomass and, thus, for ecological health of a water environment. Chl-a concentration can be retrieved through the inherent optical properties (IOPs) of a water system, which, in turn, can be remotely sensed obtained. Quasi-analytical algorithm (QAA), originally developed for ocean waters, can also retrieve IOPs for inland waters after re-parameterizations. This study is aimed at assessing the performance of sixteen schemes composed by QAA original and re-parameterized versions followed by models that use absorption coefficients as inputs for estimating Chl-a concentration in Ibitinga reservoir, located at Tiete River cascading system, Sao Paulo State, Brazil. It was verified that only QAA(v5) based schemes were able to obtain reasonable estimates for image data and that by four models tested presented similar and acceptable results for QAA(v5) outputs. The best model were applied to a Ocean and Land Colour Instrument (OLCI) image. Light absorption in the reservoir showed to be dominated by colored dissolved organic matter (CDOM), and wide spatial and temporal variability of optical and water quality properties was observed. (C) 2018 COSPAR. Published by Elsevier Ltd. All rights reserved.en
dc.description.affiliationSao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, Brazil
dc.description.affiliationSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationNatl Inst Space Res, Remote Sensing Div, Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Cartog, Presidente Prudente, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ, Dept Environm Engn, Sao Jose Dos Campos, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipIdFAPESP: 2012/19821-1
dc.description.sponsorshipIdFAPESP: 2015/21586-9
dc.format.extent2175-2188
dc.identifierhttp://dx.doi.org/10.1016/j.asr.2018.12.023
dc.identifier.citationAdvances In Space Research. Oxford: Elsevier Sci Ltd, v. 63, n. 7, p. 2175-2188, 2019.
dc.identifier.doi10.1016/j.asr.2018.12.023
dc.identifier.issn0273-1177
dc.identifier.urihttp://hdl.handle.net/11449/185589
dc.identifier.wosWOS:000463131800017
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofAdvances In Space Research
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectTrophic status
dc.subjectWater quality monitoring
dc.subjectInland water
dc.subjectSatellite data
dc.titleAn assessment of semi-analytical models based on the absorption coefficient in retrieving the chlorophyll-a concentration from a reservoiren
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.orcid0000-0002-7777-2119[2]

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