Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil

Detalhes bibliográficos
Autor(a) principal: Aranha, Thaís Regina Benevides Trigueiro
Data de Publicação: 2022
Outros Autores: Martinez, Jean-Michel, Souza, Ênio Pereira de, Barros, Mário Ubirajara Gonçalves, Martins, Eduardo Sávio Passos Rodrigues
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/69395
Resumo: In this paper, the authors use remote-sensing images to monitor the water quality of reservoirs located in the semiarid region of Northeast Brazil. Sentinel-2 MSI TOA Level 1C reflectance images were used to remotely estimate the concentration of chlorophyll-a (chl-a), the main indicator of the trophic state of aquatic environments, in five reservoirs in the state of Ceará, Brazil. A three-spectral band retrieval model was calibrated using 171 water samples, collected from November 2015 through July 2018 in 5 reservoirs. For validation, 71 additional samples, collected from August 2018 through December 2019, were used to ensure a robust accuracy assessment. The TOA Level 1C products performed very well, achieving a relative RMSE of 28% and R2 = 0.80. Data on wind direction and speed, solar radiation and reservoir volume were used to generate a conceptual model to analyze the behavior of chl-a in the surface waters of the Castanhão reservoir. During 2019, the reservoir water quality showed strong variation, with concentration fluctuating from 30 to 95 µg/L We showed that the end of the dry season is marked by strong eutrophic conditions corresponding to very low water inflows into the reservoir. During the rainy season there is a large decrease in the chl-a concentration following the increase of the lake water storage. During the following dry season, satellite data show a progressive improvement of the trophic state controlled by wind intensity that promotes a better mixing of the reservoir waters and inhibiting the development of most phytoplankton.
id UFC-7_499bdb9018a08ec7aebf566721971114
oai_identifier_str oai:repositorio.ufc.br:riufc/69395
network_acronym_str UFC-7
network_name_str Repositório Institucional da Universidade Federal do Ceará (UFC)
repository_id_str
spelling Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern BrazilRemote sensingWater qualityChlorophyll-aReservoirsSemiaridIn this paper, the authors use remote-sensing images to monitor the water quality of reservoirs located in the semiarid region of Northeast Brazil. Sentinel-2 MSI TOA Level 1C reflectance images were used to remotely estimate the concentration of chlorophyll-a (chl-a), the main indicator of the trophic state of aquatic environments, in five reservoirs in the state of Ceará, Brazil. A three-spectral band retrieval model was calibrated using 171 water samples, collected from November 2015 through July 2018 in 5 reservoirs. For validation, 71 additional samples, collected from August 2018 through December 2019, were used to ensure a robust accuracy assessment. The TOA Level 1C products performed very well, achieving a relative RMSE of 28% and R2 = 0.80. Data on wind direction and speed, solar radiation and reservoir volume were used to generate a conceptual model to analyze the behavior of chl-a in the surface waters of the Castanhão reservoir. During 2019, the reservoir water quality showed strong variation, with concentration fluctuating from 30 to 95 µg/L We showed that the end of the dry season is marked by strong eutrophic conditions corresponding to very low water inflows into the reservoir. During the rainy season there is a large decrease in the chl-a concentration following the increase of the lake water storage. During the following dry season, satellite data show a progressive improvement of the trophic state controlled by wind intensity that promotes a better mixing of the reservoir waters and inhibiting the development of most phytoplankton.Water2022-11-22T18:18:52Z2022-11-22T18:18:52Z2022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMARTINS, E. S. P. R. et al. Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil. Water, [s.l], v. 14, n. 3, 2022. DOI: https://doi.org/10.3390/w140304512073-4441http://www.repositorio.ufc.br/handle/riufc/69395Aranha, Thaís Regina Benevides TrigueiroMartinez, Jean-MichelSouza, Ênio Pereira deBarros, Mário Ubirajara GonçalvesMartins, Eduardo Sávio Passos Rodriguesinfo:eu-repo/semantics/openAccessengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFC2023-12-06T17:54:44Zoai:repositorio.ufc.br:riufc/69395Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:20:02.924332Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
title Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
spellingShingle Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
Aranha, Thaís Regina Benevides Trigueiro
Remote sensing
Water quality
Chlorophyll-a
Reservoirs
Semiarid
title_short Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
title_full Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
title_fullStr Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
title_full_unstemmed Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
title_sort Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
author Aranha, Thaís Regina Benevides Trigueiro
author_facet Aranha, Thaís Regina Benevides Trigueiro
Martinez, Jean-Michel
Souza, Ênio Pereira de
Barros, Mário Ubirajara Gonçalves
Martins, Eduardo Sávio Passos Rodrigues
author_role author
author2 Martinez, Jean-Michel
Souza, Ênio Pereira de
Barros, Mário Ubirajara Gonçalves
Martins, Eduardo Sávio Passos Rodrigues
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Aranha, Thaís Regina Benevides Trigueiro
Martinez, Jean-Michel
Souza, Ênio Pereira de
Barros, Mário Ubirajara Gonçalves
Martins, Eduardo Sávio Passos Rodrigues
dc.subject.por.fl_str_mv Remote sensing
Water quality
Chlorophyll-a
Reservoirs
Semiarid
topic Remote sensing
Water quality
Chlorophyll-a
Reservoirs
Semiarid
description In this paper, the authors use remote-sensing images to monitor the water quality of reservoirs located in the semiarid region of Northeast Brazil. Sentinel-2 MSI TOA Level 1C reflectance images were used to remotely estimate the concentration of chlorophyll-a (chl-a), the main indicator of the trophic state of aquatic environments, in five reservoirs in the state of Ceará, Brazil. A three-spectral band retrieval model was calibrated using 171 water samples, collected from November 2015 through July 2018 in 5 reservoirs. For validation, 71 additional samples, collected from August 2018 through December 2019, were used to ensure a robust accuracy assessment. The TOA Level 1C products performed very well, achieving a relative RMSE of 28% and R2 = 0.80. Data on wind direction and speed, solar radiation and reservoir volume were used to generate a conceptual model to analyze the behavior of chl-a in the surface waters of the Castanhão reservoir. During 2019, the reservoir water quality showed strong variation, with concentration fluctuating from 30 to 95 µg/L We showed that the end of the dry season is marked by strong eutrophic conditions corresponding to very low water inflows into the reservoir. During the rainy season there is a large decrease in the chl-a concentration following the increase of the lake water storage. During the following dry season, satellite data show a progressive improvement of the trophic state controlled by wind intensity that promotes a better mixing of the reservoir waters and inhibiting the development of most phytoplankton.
publishDate 2022
dc.date.none.fl_str_mv 2022-11-22T18:18:52Z
2022-11-22T18:18:52Z
2022
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 MARTINS, E. S. P. R. et al. Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil. Water, [s.l], v. 14, n. 3, 2022. DOI: https://doi.org/10.3390/w14030451
2073-4441
http://www.repositorio.ufc.br/handle/riufc/69395
identifier_str_mv MARTINS, E. S. P. R. et al. Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil. Water, [s.l], v. 14, n. 3, 2022. DOI: https://doi.org/10.3390/w14030451
2073-4441
url http://www.repositorio.ufc.br/handle/riufc/69395
dc.language.iso.fl_str_mv eng
language eng
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.publisher.none.fl_str_mv Water
publisher.none.fl_str_mv Water
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
_version_ 1813028759235723264