Remote analysis of the chlorophyll-a concentration using sentinel-2 MSI images in a semiarid environment in Northeastern Brazil
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
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. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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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 |