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Empirical model comparison and model tuning for estimating aCDOM in a tropical reservoir in Brazil

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dc.contributor.authorWatanabe, Fernanda [UNESP]
dc.contributor.authorAlcantara, Enner [UNESP]
dc.contributor.authorCurtarelli, Marcelo
dc.contributor.authorNascimento, Renata
dc.contributor.authorStech, Jose
dc.contributor.authorKampel, Milton
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)
dc.contributor.institutionNational Institute of Space Research
dc.date.accessioned2022-04-29T07:32:46Z
dc.date.available2022-04-29T07:32:46Z
dc.date.issued2015-11-10
dc.description.abstractThe aim of this work was to fit an empirical model for estimating the Colored Dissolved Organic Matter (CDOM) absorption coefficient (aCDOM) at 412 nm [aCDOM(412)] and 443 nm [aCDOM(443)], in Itumbiara reservoir (Goiás State, Brazil). Two field surveys were carried out in May and September, 2009. Radiometric and water samples were collected and used to fit an aCDOM empirical model. Empirical models from literature were tested also and their performances were compared with the performance of fitted model.en
dc.description.affiliationDepartment of Cartography São Paulo State University
dc.description.affiliationRemote Sensing Division National Institute of Space Research
dc.description.affiliationUnespDepartment of Cartography São Paulo State University
dc.format.extent719-722
dc.identifierhttp://dx.doi.org/10.1109/IGARSS.2015.7325865
dc.identifier.citationInternational Geoscience and Remote Sensing Symposium (IGARSS), v. 2015-November, p. 719-722.
dc.identifier.doi10.1109/IGARSS.2015.7325865
dc.identifier.scopus2-s2.0-84962562498
dc.identifier.urihttp://hdl.handle.net/11449/228136
dc.language.isoeng
dc.relation.ispartofInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.sourceScopus
dc.subjectaCDOM empirical models
dc.subjectRemote sensing
dc.subjecttropical reservoir
dc.titleEmpirical model comparison and model tuning for estimating aCDOM in a tropical reservoir in Brazilen
dc.typeTrabalho apresentado em evento
dspace.entity.typePublication
unesp.departmentCartografia - FCTpt

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Presidente Prudente - FCT - Faculdade de Ciências e Tecnologia