Mapping the chlorophyll-a horizontal gradient in a cascading reservoirs system using MSI Sentinel-2A images
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , , , |
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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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 |
|
_version_ |
1808128648391163904 |