Estimate and evaluation of reservoir metrics in Serra da Mesa dam (GO) using the Google Earth Engine platform
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
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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Revista Ambiente & Água |
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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 |
_version_ |
1752129751296770048 |