Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations

Detalhes bibliográficos
Autor(a) principal: Gomes, Ana Carolina Campos [UNESP]
Data de Publicação: 2018
Outros Autores: Bernardo, Nariane [UNESP], do Carmo, Alisson Coelho [UNESP], Rodrigues, Thanan, Alcântara, Enner [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.3390/rs10071063
http://hdl.handle.net/11449/176637
Resumo: The kd(490) is a vertical light attenuation coefficient and an important parameter for water quality. The kd estimates are often based on empirical and semi-analytical algorithms, designed for oceanic and coastal waters. However, there is a lack of information about the performances of these models to inland waters dominated by chromophoric dissolved organic matter (CDOM). Therefore, to contribute to this investigation, nine empirical models based on the blue-to-green and blue-to-red ratios and chlorophyll-a (Chl-a) concentration were evaluated, as well as three semi-analytical models using bands from the Operational Land Imager (OLI)/Landsat-8. The errors (mean absolute percentage error, MAPE > 80%) presented by the empirical models confirmed that the blue-to-green ratio failed in retrieving kd(490) in an environment dominated by CDOM. Similar failures occurred with the models using the Chl-a concentration (MAPE ~60%) as input. A semi-analytical approach showed the lowest error (MAPE = 41.04%) in the estimate of the inherent optical properties for complex waters in order to reduce the errors above. After retrieval of kd(490) using the semi-analytical model, seasonal patterns were observed, and high values of kd(490) were detected in the dry season possibly due to the increase of the concentration of the optically-significant substances (OSS).
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spelling Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrationsBio-optical modelsLight attenuationSatellite imagesWater qualityThe kd(490) is a vertical light attenuation coefficient and an important parameter for water quality. The kd estimates are often based on empirical and semi-analytical algorithms, designed for oceanic and coastal waters. However, there is a lack of information about the performances of these models to inland waters dominated by chromophoric dissolved organic matter (CDOM). Therefore, to contribute to this investigation, nine empirical models based on the blue-to-green and blue-to-red ratios and chlorophyll-a (Chl-a) concentration were evaluated, as well as three semi-analytical models using bands from the Operational Land Imager (OLI)/Landsat-8. The errors (mean absolute percentage error, MAPE > 80%) presented by the empirical models confirmed that the blue-to-green ratio failed in retrieving kd(490) in an environment dominated by CDOM. Similar failures occurred with the models using the Chl-a concentration (MAPE ~60%) as input. A semi-analytical approach showed the lowest error (MAPE = 41.04%) in the estimate of the inherent optical properties for complex waters in order to reduce the errors above. After retrieval of kd(490) using the semi-analytical model, seasonal patterns were observed, and high values of kd(490) were detected in the dry season possibly due to the increase of the concentration of the optically-significant substances (OSS).Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)Department of Cartography São Paulo State University (Unesp)Federal Institute for Education Science and Technology of Pará StateDepartment of Environmental Engineering São Paulo State University (Unesp)Department of Cartography São Paulo State University (Unesp)Department of Environmental Engineering São Paulo State University (Unesp)Universidade Estadual Paulista (Unesp)Science and Technology of Pará StateGomes, Ana Carolina Campos [UNESP]Bernardo, Nariane [UNESP]do Carmo, Alisson Coelho [UNESP]Rodrigues, ThananAlcântara, Enner [UNESP]2018-12-11T17:21:51Z2018-12-11T17:21:51Z2018-07-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.3390/rs10071063Remote Sensing, v. 10, n. 7, 2018.2072-4292http://hdl.handle.net/11449/17663710.3390/rs100710632-s2.0-850504997182-s2.0-85050499718.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing1,386info:eu-repo/semantics/openAccess2024-06-18T15:01:53Zoai:repositorio.unesp.br:11449/176637Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:41:53.303967Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
title Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
spellingShingle Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
Gomes, Ana Carolina Campos [UNESP]
Bio-optical models
Light attenuation
Satellite images
Water quality
title_short Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
title_full Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
title_fullStr Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
title_full_unstemmed Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
title_sort Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
author Gomes, Ana Carolina Campos [UNESP]
author_facet Gomes, Ana Carolina Campos [UNESP]
Bernardo, Nariane [UNESP]
do Carmo, Alisson Coelho [UNESP]
Rodrigues, Thanan
Alcântara, Enner [UNESP]
author_role author
author2 Bernardo, Nariane [UNESP]
do Carmo, Alisson Coelho [UNESP]
Rodrigues, Thanan
Alcântara, Enner [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Science and Technology of Pará State
dc.contributor.author.fl_str_mv Gomes, Ana Carolina Campos [UNESP]
Bernardo, Nariane [UNESP]
do Carmo, Alisson Coelho [UNESP]
Rodrigues, Thanan
Alcântara, Enner [UNESP]
dc.subject.por.fl_str_mv Bio-optical models
Light attenuation
Satellite images
Water quality
topic Bio-optical models
Light attenuation
Satellite images
Water quality
description The kd(490) is a vertical light attenuation coefficient and an important parameter for water quality. The kd estimates are often based on empirical and semi-analytical algorithms, designed for oceanic and coastal waters. However, there is a lack of information about the performances of these models to inland waters dominated by chromophoric dissolved organic matter (CDOM). Therefore, to contribute to this investigation, nine empirical models based on the blue-to-green and blue-to-red ratios and chlorophyll-a (Chl-a) concentration were evaluated, as well as three semi-analytical models using bands from the Operational Land Imager (OLI)/Landsat-8. The errors (mean absolute percentage error, MAPE > 80%) presented by the empirical models confirmed that the blue-to-green ratio failed in retrieving kd(490) in an environment dominated by CDOM. Similar failures occurred with the models using the Chl-a concentration (MAPE ~60%) as input. A semi-analytical approach showed the lowest error (MAPE = 41.04%) in the estimate of the inherent optical properties for complex waters in order to reduce the errors above. After retrieval of kd(490) using the semi-analytical model, seasonal patterns were observed, and high values of kd(490) were detected in the dry season possibly due to the increase of the concentration of the optically-significant substances (OSS).
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T17:21:51Z
2018-12-11T17:21:51Z
2018-07-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.3390/rs10071063
Remote Sensing, v. 10, n. 7, 2018.
2072-4292
http://hdl.handle.net/11449/176637
10.3390/rs10071063
2-s2.0-85050499718
2-s2.0-85050499718.pdf
url http://dx.doi.org/10.3390/rs10071063
http://hdl.handle.net/11449/176637
identifier_str_mv Remote Sensing, v. 10, n. 7, 2018.
2072-4292
10.3390/rs10071063
2-s2.0-85050499718
2-s2.0-85050499718.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing
1,386
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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