Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images

Detalhes bibliográficos
Autor(a) principal: Watanabe, Fernanda [UNESP]
Data de Publicação: 2019
Outros Autores: Alcântara, Enner [UNESP], Bernardo, Nariane [UNESP], de Andrade, Caroline [UNESP], Gomes, Ana Carolina [UNESP], do Carmo, Alisson [UNESP], Rodrigues, Thanan, Rotta, Luiz Henrique [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.asr.2019.04.035
http://hdl.handle.net/11449/189109
Resumo: In this work, we investigated the trophic gradient in three reservoirs cascading in Tietê River, Southeast Brazil, based on their chlorophyll-a (chl a) concentration. The goal of this study was to identify spatial patterns in the chl a distribution, which are associated with the filtration process caused by reservoir cascade. Hence, maps of chl a content were developed considering a short time series of MSI Sentinel-2A images (2016–2018). A chl a prediction algorithm was applied to images, whose calibration was done from data collected during a severe drought (2014), which led to intense harmful algal blooms (HABs) and after the drought (2016). The outcomes showed that 20 m spatial resolution of MSI Sentinel-2A images are suitable in estimating pigment concentration in small and middle reservoirs. In addition, the Sen2cor atmospheric correction tool exhibited good performance in removing the scattering effects. Its application in retrieving the chl a content also presented good results. Besides reservoir order in the cascade, the storage system showed to be a factor that also affects the trophic state in downstream impoundments.
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spelling Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A imagesAlgal bloomBio-opticsInland watersMultispectral imagesIn this work, we investigated the trophic gradient in three reservoirs cascading in Tietê River, Southeast Brazil, based on their chlorophyll-a (chl a) concentration. The goal of this study was to identify spatial patterns in the chl a distribution, which are associated with the filtration process caused by reservoir cascade. Hence, maps of chl a content were developed considering a short time series of MSI Sentinel-2A images (2016–2018). A chl a prediction algorithm was applied to images, whose calibration was done from data collected during a severe drought (2014), which led to intense harmful algal blooms (HABs) and after the drought (2016). The outcomes showed that 20 m spatial resolution of MSI Sentinel-2A images are suitable in estimating pigment concentration in small and middle reservoirs. In addition, the Sen2cor atmospheric correction tool exhibited good performance in removing the scattering effects. Its application in retrieving the chl a content also presented good results. Besides reservoir order in the cascade, the storage system showed to be a factor that also affects the trophic state in downstream impoundments.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra, km 137.8Federal Institute of Education Science and Technology from Pará State, BR 316, km 61Department of Cartography Faculty of Sciences and Technology São Paulo State University (UNESP), Rua Roberto Simonsen 305Department of Environmental Engineering Institute of Science and Technology São Paulo State University (UNESP), Rodovia Presidente Dutra, km 137.8FAPESP: 2012/19821-1FAPESP: 2015/18525-8FAPESP: 2015/21586-9CNPq: 400881/2013-6CNPq: 472131/2012-5CNPq: 482605-8Universidade Estadual Paulista (Unesp)Science and Technology from Pará StateWatanabe, Fernanda [UNESP]Alcântara, Enner [UNESP]Bernardo, Nariane [UNESP]de Andrade, Caroline [UNESP]Gomes, Ana Carolina [UNESP]do Carmo, Alisson [UNESP]Rodrigues, ThananRotta, Luiz Henrique [UNESP]2019-10-06T16:30:00Z2019-10-06T16:30:00Z2019-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article581-590http://dx.doi.org/10.1016/j.asr.2019.04.035Advances in Space Research, v. 64, n. 3, p. 581-590, 2019.1879-19480273-1177http://hdl.handle.net/11449/18910910.1016/j.asr.2019.04.0352-s2.0-8506555678566913103944104900000-0002-8077-2865Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengAdvances in Space Researchinfo:eu-repo/semantics/openAccess2024-06-18T15:01:26Zoai:repositorio.unesp.br:11449/189109Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:25:16.801677Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
title Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
spellingShingle Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
Watanabe, Fernanda [UNESP]
Algal bloom
Bio-optics
Inland waters
Multispectral images
title_short Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
title_full Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
title_fullStr Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
title_full_unstemmed Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
title_sort Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
author Watanabe, Fernanda [UNESP]
author_facet Watanabe, Fernanda [UNESP]
Alcântara, Enner [UNESP]
Bernardo, Nariane [UNESP]
de Andrade, Caroline [UNESP]
Gomes, Ana Carolina [UNESP]
do Carmo, Alisson [UNESP]
Rodrigues, Thanan
Rotta, Luiz Henrique [UNESP]
author_role author
author2 Alcântara, Enner [UNESP]
Bernardo, Nariane [UNESP]
de Andrade, Caroline [UNESP]
Gomes, Ana Carolina [UNESP]
do Carmo, Alisson [UNESP]
Rodrigues, Thanan
Rotta, Luiz Henrique [UNESP]
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Science and Technology from Pará State
dc.contributor.author.fl_str_mv Watanabe, Fernanda [UNESP]
Alcântara, Enner [UNESP]
Bernardo, Nariane [UNESP]
de Andrade, Caroline [UNESP]
Gomes, Ana Carolina [UNESP]
do Carmo, Alisson [UNESP]
Rodrigues, Thanan
Rotta, Luiz Henrique [UNESP]
dc.subject.por.fl_str_mv Algal bloom
Bio-optics
Inland waters
Multispectral images
topic Algal bloom
Bio-optics
Inland waters
Multispectral images
description In this work, we investigated the trophic gradient in three reservoirs cascading in Tietê River, Southeast Brazil, based on their chlorophyll-a (chl a) concentration. The goal of this study was to identify spatial patterns in the chl a distribution, which are associated with the filtration process caused by reservoir cascade. Hence, maps of chl a content were developed considering a short time series of MSI Sentinel-2A images (2016–2018). A chl a prediction algorithm was applied to images, whose calibration was done from data collected during a severe drought (2014), which led to intense harmful algal blooms (HABs) and after the drought (2016). The outcomes showed that 20 m spatial resolution of MSI Sentinel-2A images are suitable in estimating pigment concentration in small and middle reservoirs. In addition, the Sen2cor atmospheric correction tool exhibited good performance in removing the scattering effects. Its application in retrieving the chl a content also presented good results. Besides reservoir order in the cascade, the storage system showed to be a factor that also affects the trophic state in downstream impoundments.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-06T16:30:00Z
2019-10-06T16:30:00Z
2019-08-01
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/10.1016/j.asr.2019.04.035
Advances in Space Research, v. 64, n. 3, p. 581-590, 2019.
1879-1948
0273-1177
http://hdl.handle.net/11449/189109
10.1016/j.asr.2019.04.035
2-s2.0-85065556785
6691310394410490
0000-0002-8077-2865
url http://dx.doi.org/10.1016/j.asr.2019.04.035
http://hdl.handle.net/11449/189109
identifier_str_mv Advances in Space Research, v. 64, n. 3, p. 581-590, 2019.
1879-1948
0273-1177
10.1016/j.asr.2019.04.035
2-s2.0-85065556785
6691310394410490
0000-0002-8077-2865
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Advances in Space Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 581-590
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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