Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)

Detalhes bibliográficos
Autor(a) principal: Pompêo, Marcelo
Data de Publicação: 2021
Outros Autores: Moschini-Carlos, Viviane [UNESP], Bitencourt, Marisa Dantas, Sòria-Perpinyà, Xavier, Vicente, Eduardo, Delegido, Jesus
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s11356-021-12975-x
http://hdl.handle.net/11449/206016
Resumo: Satellite images were used to assess surface water quality based on the concentration of chlorophyll a (chla), light penetration measured by the Secchi disk method (SD), and the Cyanobacteria cells number per mL (cyano). For this case study, six reservoirs interconnected were evaluated, comprising the Cantareira System (CS) in São Paulo State (Brazil). The work employed Sentinel-2 images from 2015 to 2018, SNAP image processing software, and the native products conc_chl and kd_z90max, treated using Case 2 Regional Coast Color (C2RCC) atmospheric correction. The database was obtained from CETESB, the agency legally responsible for operation of the Inland Water Quality Monitoring Network in São Paulo State. The results demonstrated robustness in the estimates of chla (RMSE = 3.73; NRMSE% = 19%) and SD (RMSE = 2,26; NRMSE% = 14%). Due to the strong relationship between cyano and chla (r2 = 0.84, p < 0.01, n = 90), both obtained from field measurements, there was also robustness in cyano estimates based on the estimates of chla from the satellite images. The data revealed a clear pattern, with the upstream reservoirs being more eutrophic, compared to those downstream. There were evident concerns, about water quality, particularly due to the high numbers of Cyanobacteria cells, especially in the upstream reservoirs.
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spelling Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)C2RCCChlorophyllCyanobacteriaRemote sensingSecchi diskSentinel-2Tropical reservoirsSatellite images were used to assess surface water quality based on the concentration of chlorophyll a (chla), light penetration measured by the Secchi disk method (SD), and the Cyanobacteria cells number per mL (cyano). For this case study, six reservoirs interconnected were evaluated, comprising the Cantareira System (CS) in São Paulo State (Brazil). The work employed Sentinel-2 images from 2015 to 2018, SNAP image processing software, and the native products conc_chl and kd_z90max, treated using Case 2 Regional Coast Color (C2RCC) atmospheric correction. The database was obtained from CETESB, the agency legally responsible for operation of the Inland Water Quality Monitoring Network in São Paulo State. The results demonstrated robustness in the estimates of chla (RMSE = 3.73; NRMSE% = 19%) and SD (RMSE = 2,26; NRMSE% = 14%). Due to the strong relationship between cyano and chla (r2 = 0.84, p < 0.01, n = 90), both obtained from field measurements, there was also robustness in cyano estimates based on the estimates of chla from the satellite images. The data revealed a clear pattern, with the upstream reservoirs being more eutrophic, compared to those downstream. There were evident concerns, about water quality, particularly due to the high numbers of Cyanobacteria cells, especially in the upstream reservoirs.Department of Ecology University of São PauloUniversity of São Paulo State (UNESP) ICT, Sorocaba CampusDepartment of Microbiology and Ecology University of Valencia, Burjassot CampusImage Processing Laboratory University of Valencia, Paterna CampusUniversity of São Paulo State (UNESP) ICT, Sorocaba CampusUniversidade de São Paulo (USP)Universidade Estadual Paulista (Unesp)University of ValenciaPompêo, MarceloMoschini-Carlos, Viviane [UNESP]Bitencourt, Marisa DantasSòria-Perpinyà, XavierVicente, EduardoDelegido, Jesus2021-06-25T10:25:13Z2021-06-25T10:25:13Z2021-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1007/s11356-021-12975-xEnvironmental Science and Pollution Research.1614-74990944-1344http://hdl.handle.net/11449/20601610.1007/s11356-021-12975-x2-s2.0-85102191319Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental Science and Pollution Researchinfo:eu-repo/semantics/openAccess2021-10-22T20:36:21Zoai:repositorio.unesp.br:11449/206016Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:27:13.715566Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
title Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
spellingShingle Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
Pompêo, Marcelo
C2RCC
Chlorophyll
Cyanobacteria
Remote sensing
Secchi disk
Sentinel-2
Tropical reservoirs
title_short Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
title_full Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
title_fullStr Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
title_full_unstemmed Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
title_sort Water quality assessment using Sentinel-2 imagery with estimates of chlorophyll a, Secchi disk depth, and Cyanobacteria cell number: the Cantareira System reservoirs (São Paulo, Brazil)
author Pompêo, Marcelo
author_facet Pompêo, Marcelo
Moschini-Carlos, Viviane [UNESP]
Bitencourt, Marisa Dantas
Sòria-Perpinyà, Xavier
Vicente, Eduardo
Delegido, Jesus
author_role author
author2 Moschini-Carlos, Viviane [UNESP]
Bitencourt, Marisa Dantas
Sòria-Perpinyà, Xavier
Vicente, Eduardo
Delegido, Jesus
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
University of Valencia
dc.contributor.author.fl_str_mv Pompêo, Marcelo
Moschini-Carlos, Viviane [UNESP]
Bitencourt, Marisa Dantas
Sòria-Perpinyà, Xavier
Vicente, Eduardo
Delegido, Jesus
dc.subject.por.fl_str_mv C2RCC
Chlorophyll
Cyanobacteria
Remote sensing
Secchi disk
Sentinel-2
Tropical reservoirs
topic C2RCC
Chlorophyll
Cyanobacteria
Remote sensing
Secchi disk
Sentinel-2
Tropical reservoirs
description Satellite images were used to assess surface water quality based on the concentration of chlorophyll a (chla), light penetration measured by the Secchi disk method (SD), and the Cyanobacteria cells number per mL (cyano). For this case study, six reservoirs interconnected were evaluated, comprising the Cantareira System (CS) in São Paulo State (Brazil). The work employed Sentinel-2 images from 2015 to 2018, SNAP image processing software, and the native products conc_chl and kd_z90max, treated using Case 2 Regional Coast Color (C2RCC) atmospheric correction. The database was obtained from CETESB, the agency legally responsible for operation of the Inland Water Quality Monitoring Network in São Paulo State. The results demonstrated robustness in the estimates of chla (RMSE = 3.73; NRMSE% = 19%) and SD (RMSE = 2,26; NRMSE% = 14%). Due to the strong relationship between cyano and chla (r2 = 0.84, p < 0.01, n = 90), both obtained from field measurements, there was also robustness in cyano estimates based on the estimates of chla from the satellite images. The data revealed a clear pattern, with the upstream reservoirs being more eutrophic, compared to those downstream. There were evident concerns, about water quality, particularly due to the high numbers of Cyanobacteria cells, especially in the upstream reservoirs.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T10:25:13Z
2021-06-25T10:25:13Z
2021-01-01
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/10.1007/s11356-021-12975-x
Environmental Science and Pollution Research.
1614-7499
0944-1344
http://hdl.handle.net/11449/206016
10.1007/s11356-021-12975-x
2-s2.0-85102191319
url http://dx.doi.org/10.1007/s11356-021-12975-x
http://hdl.handle.net/11449/206016
identifier_str_mv Environmental Science and Pollution Research.
1614-7499
0944-1344
10.1007/s11356-021-12975-x
2-s2.0-85102191319
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Environmental Science and Pollution Research
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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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