Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images

Detalhes bibliográficos
Autor(a) principal: Martins, Sarah [UNESP]
Data de Publicação: 2018
Outros Autores: Chokmani, Karem, Alcântara, Enner [UNESP], Ogashawara, Igor, El-Alem, Anas
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1080/20442041.2018.1482153
http://hdl.handle.net/11449/188419
Resumo: Dissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms.
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spelling Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed imagesalgal bloomeutrophicationinland waterland use and land cover (LULC)sewage pollutionDissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)São Paulo State University (UNESP) Department of Cartography–Presidente Prudente (SP)National Institute of Scientific Research (INRS) Research Centre on Water Earth and the Environment–Québec (QC)São Paulo State University (UNESP) Department of Environmental Engineering–São José dos Campos (SP)Indiana University–Purdue University Indianapolis (IUPUI) Department of Earth Sciences–Indianapolis (IN)São Paulo State University (UNESP) Department of Cartography–Presidente Prudente (SP)São Paulo State University (UNESP) Department of Environmental Engineering–São José dos Campos (SP)FAPESP: 15/21586-9FAPESP: 2011/19523-8CNPq: 301365/2015-6Universidade Estadual Paulista (Unesp)and the Environment–Québec (QC)Indiana University–Purdue University Indianapolis (IUPUI)Martins, Sarah [UNESP]Chokmani, KaremAlcântara, Enner [UNESP]Ogashawara, IgorEl-Alem, Anas2019-10-06T16:07:29Z2019-10-06T16:07:29Z2018-10-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article488-504http://dx.doi.org/10.1080/20442041.2018.1482153Inland Waters, v. 8, n. 4, p. 488-504, 2018.2044-205X2044-2041http://hdl.handle.net/11449/18841910.1080/20442041.2018.14821532-s2.0-85057299934Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInland Watersinfo:eu-repo/semantics/openAccess2024-06-18T15:01:52Zoai:repositorio.unesp.br:11449/188419Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:52Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
title Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
spellingShingle Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
Martins, Sarah [UNESP]
algal bloom
eutrophication
inland water
land use and land cover (LULC)
sewage pollution
title_short Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
title_full Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
title_fullStr Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
title_full_unstemmed Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
title_sort Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
author Martins, Sarah [UNESP]
author_facet Martins, Sarah [UNESP]
Chokmani, Karem
Alcântara, Enner [UNESP]
Ogashawara, Igor
El-Alem, Anas
author_role author
author2 Chokmani, Karem
Alcântara, Enner [UNESP]
Ogashawara, Igor
El-Alem, Anas
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
and the Environment–Québec (QC)
Indiana University–Purdue University Indianapolis (IUPUI)
dc.contributor.author.fl_str_mv Martins, Sarah [UNESP]
Chokmani, Karem
Alcântara, Enner [UNESP]
Ogashawara, Igor
El-Alem, Anas
dc.subject.por.fl_str_mv algal bloom
eutrophication
inland water
land use and land cover (LULC)
sewage pollution
topic algal bloom
eutrophication
inland water
land use and land cover (LULC)
sewage pollution
description Dissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-02
2019-10-06T16:07:29Z
2019-10-06T16:07:29Z
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/10.1080/20442041.2018.1482153
Inland Waters, v. 8, n. 4, p. 488-504, 2018.
2044-205X
2044-2041
http://hdl.handle.net/11449/188419
10.1080/20442041.2018.1482153
2-s2.0-85057299934
url http://dx.doi.org/10.1080/20442041.2018.1482153
http://hdl.handle.net/11449/188419
identifier_str_mv Inland Waters, v. 8, n. 4, p. 488-504, 2018.
2044-205X
2044-2041
10.1080/20442041.2018.1482153
2-s2.0-85057299934
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Inland Waters
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 488-504
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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