Diffuse attenuation coefficient retrieval in CDOM dominated inland water with high chlorophyll-a concentrations
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
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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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 |
|
_version_ |
1808129348387995648 |