Retrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Scheme

dc.contributor.authorBernardo, Nariane [UNESP]
dc.contributor.authorCarmo, Alisson do [UNESP]
dc.contributor.authorPark, Edward
dc.contributor.authorAlcantara, Enner [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionNanyang Technol Univ
dc.date.accessioned2020-12-10T19:41:12Z
dc.date.available2020-12-10T19:41:12Z
dc.date.issued2019-10-01
dc.description.abstractSuspended particulate matter (SPM) directly affects the underwater light field and, as a consequence, changes the water clarity and can reduce the primary production. Remote sensing-based bio-optical modeling can provide efficient monitoring of the spatiotemporal dynamics of SPM in inland waters. In this paper, we present a novel and robust bio-optical model to retrieve SPM concentrations for inland waters with widely differing optical properties (the Tiete River Cascade System (TRCS) in Brazil). In this system, high levels of Chl-a concentration of up to 700 mg/m(3), turbidity up to 80 NTU and high CDOM absorption highly complicate the optical characteristics of the surface water, imposing an additional challenge in retrieving SPM concentration. Since K-d is not susceptible to the saturation issue encountered when using remote sensing reflectance (R-rs), we estimate SPM concentrations via K-d. K-d was derived analytically from inherent optical properties (IOPs) retrieved through a re-parameterized quasi-analytical algorithm (QAA) that yields relevant accuracy. Our model improved the estimates of the IOPs by up to 30% when compared to other existing QAAs. Our developed bio-optical model using K-d(655) was capable of describing 74% of SPM variations in the TRCS, with average error consistently lower than 30%.en
dc.description.affiliationSao Paulo State Univ Unesp, Dept Cartog, BR-19063841 Presidente Prudente, SP, Brazil
dc.description.affiliationNanyang Technol Univ, Natl Inst Educ, Singapore 639798, Singapore
dc.description.affiliationSao Paulo State Univ Unesp, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ Unesp, Dept Cartog, BR-19063841 Presidente Prudente, SP, Brazil
dc.description.affiliationUnespSao Paulo State Univ Unesp, Dept Environm Engn, BR-12247004 Sao Jose Dos Campos, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
dc.description.sponsorshipIdFAPESP: 2012/19821-1
dc.description.sponsorshipIdFAPESP: 2015/21586-9
dc.description.sponsorshipIdFAPESP: 2015/18525-8
dc.description.sponsorshipIdFAPESP: 2019/00259-0
dc.description.sponsorshipIdCNPq: 472131/2012-5
dc.description.sponsorshipIdCNPq: 482605/2013-8
dc.format.extent22
dc.identifierhttp://dx.doi.org/10.3390/rs11192283
dc.identifier.citationRemote Sensing. Basel: Mdpi, v. 11, n. 19, 22 p., 2019.
dc.identifier.doi10.3390/rs11192283
dc.identifier.urihttp://hdl.handle.net/11449/196331
dc.identifier.wosWOS:000496827100097
dc.language.isoeng
dc.publisherMdpi
dc.relation.ispartofRemote Sensing
dc.sourceWeb of Science
dc.subjectsemi-analytical model
dc.subjectinherent optical properties
dc.subjectlight attenuation
dc.subjectwater quality monitoring
dc.titleRetrieval of Suspended Particulate Matter in Inland Waters with Widely Differing Optical Properties Using a Semi-Analytical Schemeen
dc.typeArtigo
dcterms.rightsHolderMdpi
unesp.author.orcid0000-0002-1299-1724[3]
unesp.author.orcid0000-0002-7777-2119[4]
unesp.departmentCartografia - FCTpt

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