Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform

Detalhes bibliográficos
Autor(a) principal: Xavier,Gabrielle de Oliveira
Data de Publicação: 2020
Outros Autores: Almeida,Tati de, Oliveira,Carlos Magno Moreira de, Oliveira,Petronio Diego Silva de, Costa,Victor Hugo Barros, Granado,Larissa Moreira Alves
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista Ambiente & Água
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500308
Resumo: Abstract The goal of this study was to assess the temporal dynamics of an accumulation reservoir in an accessible and accurate way. The study was conducted on the Serra da Mesa Dam (GO) using orbital images. To estimate the flat area of the dam surface, Landsat TM and OLI images for the period 1998 to 2018 were used. The images were processed using the Google Earth Engine platform (GEE) in order to obtain the dam surface area (km²) and relate it to the flow, altimetric height and volume of the reservoir over the years. The dam showed constant variation of water since its inception, with a decreasing trend. The highest values of the reservoir measurement metrics were observed in the years coincident with the largest areas of the dam, and inversely proportional to the years of the appearance of new dams upstream. More than 90% of the altimetric height variation of water could be explained by the flat area of the dam. The processing platform using the GEE is effective to provide extensive temporal analysis using a large volume of data in a short time, with accurate and robust results.
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spelling Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platformaccumulation reservoirdamtime seriesAbstract The goal of this study was to assess the temporal dynamics of an accumulation reservoir in an accessible and accurate way. The study was conducted on the Serra da Mesa Dam (GO) using orbital images. To estimate the flat area of the dam surface, Landsat TM and OLI images for the period 1998 to 2018 were used. The images were processed using the Google Earth Engine platform (GEE) in order to obtain the dam surface area (km²) and relate it to the flow, altimetric height and volume of the reservoir over the years. The dam showed constant variation of water since its inception, with a decreasing trend. The highest values of the reservoir measurement metrics were observed in the years coincident with the largest areas of the dam, and inversely proportional to the years of the appearance of new dams upstream. More than 90% of the altimetric height variation of water could be explained by the flat area of the dam. The processing platform using the GEE is effective to provide extensive temporal analysis using a large volume of data in a short time, with accurate and robust results.Instituto de Pesquisas Ambientais em Bacias Hidrográficas2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500308Revista Ambiente & Água v.15 n.5 2020reponame:Revista Ambiente & Águainstname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)instacron:IPABHI10.4136/ambi-agua.2584info:eu-repo/semantics/openAccessXavier,Gabrielle de OliveiraAlmeida,Tati deOliveira,Carlos Magno Moreira deOliveira,Petronio Diego Silva deCosta,Victor Hugo BarrosGranado,Larissa Moreira Alveseng2020-09-22T00:00:00Zoai:scielo:S1980-993X2020000500308Revistahttp://www.ambi-agua.net/PUBhttps://old.scielo.br/oai/scielo-oai.php||ambi.agua@gmail.com1980-993X1980-993Xopendoar:2020-09-22T00:00Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)false
dc.title.none.fl_str_mv Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
title Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
spellingShingle Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
Xavier,Gabrielle de Oliveira
accumulation reservoir
dam
time series
title_short Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
title_full Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
title_fullStr Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
title_full_unstemmed Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
title_sort Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
author Xavier,Gabrielle de Oliveira
author_facet Xavier,Gabrielle de Oliveira
Almeida,Tati de
Oliveira,Carlos Magno Moreira de
Oliveira,Petronio Diego Silva de
Costa,Victor Hugo Barros
Granado,Larissa Moreira Alves
author_role author
author2 Almeida,Tati de
Oliveira,Carlos Magno Moreira de
Oliveira,Petronio Diego Silva de
Costa,Victor Hugo Barros
Granado,Larissa Moreira Alves
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Xavier,Gabrielle de Oliveira
Almeida,Tati de
Oliveira,Carlos Magno Moreira de
Oliveira,Petronio Diego Silva de
Costa,Victor Hugo Barros
Granado,Larissa Moreira Alves
dc.subject.por.fl_str_mv accumulation reservoir
dam
time series
topic accumulation reservoir
dam
time series
description Abstract The goal of this study was to assess the temporal dynamics of an accumulation reservoir in an accessible and accurate way. The study was conducted on the Serra da Mesa Dam (GO) using orbital images. To estimate the flat area of the dam surface, Landsat TM and OLI images for the period 1998 to 2018 were used. The images were processed using the Google Earth Engine platform (GEE) in order to obtain the dam surface area (km²) and relate it to the flow, altimetric height and volume of the reservoir over the years. The dam showed constant variation of water since its inception, with a decreasing trend. The highest values of the reservoir measurement metrics were observed in the years coincident with the largest areas of the dam, and inversely proportional to the years of the appearance of new dams upstream. More than 90% of the altimetric height variation of water could be explained by the flat area of the dam. The processing platform using the GEE is effective to provide extensive temporal analysis using a large volume of data in a short time, with accurate and robust results.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500308
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1980-993X2020000500308
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.4136/ambi-agua.2584
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
publisher.none.fl_str_mv Instituto de Pesquisas Ambientais em Bacias Hidrográficas
dc.source.none.fl_str_mv Revista Ambiente & Água v.15 n.5 2020
reponame:Revista Ambiente & Água
instname:Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron:IPABHI
instname_str Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
instacron_str IPABHI
institution IPABHI
reponame_str Revista Ambiente & Água
collection Revista Ambiente & Água
repository.name.fl_str_mv Revista Ambiente & Água - Instituto de Pesquisas Ambientais em Bacias Hidrográficas (IPABHI)
repository.mail.fl_str_mv ||ambi.agua@gmail.com
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