Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region

Detalhes bibliográficos
Autor(a) principal: Lopes, Fernando Bezerra
Data de Publicação: 2016
Outros Autores: Novo, Evlyn Márcia Leão de Moraes, Barbosa, Cláudio Clemente Faria, Andrade, Eunice Maia de, Ferreira, Rafael Damiati
Tipo de documento: Artigo
Idioma: por
Título da fonte: Agro@mbiente on-line
Texto Completo: https://revista.ufrr.br/agroambiente/article/view/3482
Resumo: Nowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The aim of this study was to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region of Brazil using simulated orbital-sensor data, as an aid in the management of water resources. The study area corresponded to the Orós reservoir, in the State of Ceará, Brazil. Water samples for analysis of the chlorophyll-a and measurements of the spectral radiance of the aquatic system were collected from 20 points. The radiance was measured by spectroradiometer. The data were collected in June and August of 2011. The model using three bands of the MERIS sensor (7, 9 and 10) presented an R2 of 0.84. For the two-band model (7 and 9), the value of R2 was 0.85. The waters of the Orós reservoir were all classified as eutrophic. The main optically active component in modelling the shape of the spectra was chlorophyll-a. The models showed a mean absolute error (MAE) of 3.45 and 3.61 μg L-1 for the three- and two-band models respectively. The models displayed high coefficients of determination, i.e. the simulations show the feasibility of estimating chlorophyll-a concentration from the data of the MERIS orbital sensor.
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spelling Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid regionContinental water. Monitoring. Remote sensing.Nowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The aim of this study was to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region of Brazil using simulated orbital-sensor data, as an aid in the management of water resources. The study area corresponded to the Orós reservoir, in the State of Ceará, Brazil. Water samples for analysis of the chlorophyll-a and measurements of the spectral radiance of the aquatic system were collected from 20 points. The radiance was measured by spectroradiometer. The data were collected in June and August of 2011. The model using three bands of the MERIS sensor (7, 9 and 10) presented an R2 of 0.84. For the two-band model (7 and 9), the value of R2 was 0.85. The waters of the Orós reservoir were all classified as eutrophic. The main optically active component in modelling the shape of the spectra was chlorophyll-a. The models showed a mean absolute error (MAE) of 3.45 and 3.61 μg L-1 for the three- and two-band models respectively. The models displayed high coefficients of determination, i.e. the simulations show the feasibility of estimating chlorophyll-a concentration from the data of the MERIS orbital sensor.UFRR2016-07-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revista.ufrr.br/agroambiente/article/view/348210.18227/1982-8470ragro.v10i2.3482AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 10 No. 2 (2016): abril-junho; 96-106REVISTA AGRO@MBIENTE ON-LINE; Vol. 10 Núm. 2 (2016): abril-junho; 96-106REVISTA AGRO@MBIENTE ON-LINE; v. 10 n. 2 (2016): abril-junho; 96-1061982-8470reponame:Agro@mbiente on-lineinstname:Universidade Federal de Roraima (UFRR)instacron:UFRRporhttps://revista.ufrr.br/agroambiente/article/view/3482/1985Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINEinfo:eu-repo/semantics/openAccessLopes, Fernando BezerraNovo, Evlyn Márcia Leão de MoraesBarbosa, Cláudio Clemente FariaAndrade, Eunice Maia deFerreira, Rafael Damiati2016-10-21T18:47:50Zoai:oai.revista.ufrr.br:article/3482Revistahttps://revista.ufrr.br/index.php/agroambientePUBhttps://revista.ufrr.br/index.php/agroambiente/oai||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br1982-84701982-8470opendoar:2016-10-21T18:47:50Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)false
dc.title.none.fl_str_mv Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
title Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
spellingShingle Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
Lopes, Fernando Bezerra
Continental water. Monitoring. Remote sensing.
title_short Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
title_full Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
title_fullStr Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
title_full_unstemmed Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
title_sort Simulation of spectral bands of the MERIS sensor to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region
author Lopes, Fernando Bezerra
author_facet Lopes, Fernando Bezerra
Novo, Evlyn Márcia Leão de Moraes
Barbosa, Cláudio Clemente Faria
Andrade, Eunice Maia de
Ferreira, Rafael Damiati
author_role author
author2 Novo, Evlyn Márcia Leão de Moraes
Barbosa, Cláudio Clemente Faria
Andrade, Eunice Maia de
Ferreira, Rafael Damiati
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Lopes, Fernando Bezerra
Novo, Evlyn Márcia Leão de Moraes
Barbosa, Cláudio Clemente Faria
Andrade, Eunice Maia de
Ferreira, Rafael Damiati
dc.subject.por.fl_str_mv Continental water. Monitoring. Remote sensing.
topic Continental water. Monitoring. Remote sensing.
description Nowadays, the monitoring of water is essential for the sustainability and better management of water resources. The use of remote sensing data is important, since it allows evaluation of dynamic problems in aquatic systems, such as the eutrophication of bodies of water and suspended sediment. The aim of this study was to estimate chlorophyll-a concentrations in a reservoir of the semi-arid region of Brazil using simulated orbital-sensor data, as an aid in the management of water resources. The study area corresponded to the Orós reservoir, in the State of Ceará, Brazil. Water samples for analysis of the chlorophyll-a and measurements of the spectral radiance of the aquatic system were collected from 20 points. The radiance was measured by spectroradiometer. The data were collected in June and August of 2011. The model using three bands of the MERIS sensor (7, 9 and 10) presented an R2 of 0.84. For the two-band model (7 and 9), the value of R2 was 0.85. The waters of the Orós reservoir were all classified as eutrophic. The main optically active component in modelling the shape of the spectra was chlorophyll-a. The models showed a mean absolute error (MAE) of 3.45 and 3.61 μg L-1 for the three- and two-band models respectively. The models displayed high coefficients of determination, i.e. the simulations show the feasibility of estimating chlorophyll-a concentration from the data of the MERIS orbital sensor.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-19
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/3482
10.18227/1982-8470ragro.v10i2.3482
url https://revista.ufrr.br/agroambiente/article/view/3482
identifier_str_mv 10.18227/1982-8470ragro.v10i2.3482
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://revista.ufrr.br/agroambiente/article/view/3482/1985
dc.rights.driver.fl_str_mv Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINE
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2016 REVISTA AGRO@MBIENTE ON-LINE
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UFRR
publisher.none.fl_str_mv UFRR
dc.source.none.fl_str_mv AGRO@MBIENTE ON-LINE JOURNALRAGR; Vol. 10 No. 2 (2016): abril-junho; 96-106
REVISTA AGRO@MBIENTE ON-LINE; Vol. 10 Núm. 2 (2016): abril-junho; 96-106
REVISTA AGRO@MBIENTE ON-LINE; v. 10 n. 2 (2016): abril-junho; 96-106
1982-8470
reponame:Agro@mbiente on-line
instname:Universidade Federal de Roraima (UFRR)
instacron:UFRR
instname_str Universidade Federal de Roraima (UFRR)
instacron_str UFRR
institution UFRR
reponame_str Agro@mbiente on-line
collection Agro@mbiente on-line
repository.name.fl_str_mv Agro@mbiente on-line - Universidade Federal de Roraima (UFRR)
repository.mail.fl_str_mv ||scpuchoa@dsi.ufrr.br|| arcanjoalves@oi.com.br
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