Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | RBRH (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100234 |
Resumo: | ABSTRACT The presence of large amounts of aquatic macrophytes in reservoirs can trigger several impacts on the local ecosystem and conventional methodologies used for their monitoring only returns information from the present moment. With that in mind, this study aimed to map spatio-temporal variation of macrophyte cover using Landsat 5, 7 and 8 images between 1984-2021 at Jupiá reservoir, in south east of Brazil, besides determining curves and maps of macrophyte cover permanence. The identification of these organisms in the images, and their distinction from other vegetations, was made through spectral indices (NDVI, GNDVI and GSAVI) and the determination of the characteristic range of each of these classes, which was given by probability distributions. Interannual variations were observed in the spatial arrangement of macrophytes and the area's growth trend, possibly being caused by the implantation of an upstream reservoir. Although the number of images without interference was a limitation, the construction of a historical series of macrophytes occupation and the determination of permanence curves and maps proved to be satisfactory and could help on the decision-making processes for the management of these organisms. |
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Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth EngineRemote sensingAquatic macrophytesJupiá ReservoirGrowth trendSeasonalityFlowsABSTRACT The presence of large amounts of aquatic macrophytes in reservoirs can trigger several impacts on the local ecosystem and conventional methodologies used for their monitoring only returns information from the present moment. With that in mind, this study aimed to map spatio-temporal variation of macrophyte cover using Landsat 5, 7 and 8 images between 1984-2021 at Jupiá reservoir, in south east of Brazil, besides determining curves and maps of macrophyte cover permanence. The identification of these organisms in the images, and their distinction from other vegetations, was made through spectral indices (NDVI, GNDVI and GSAVI) and the determination of the characteristic range of each of these classes, which was given by probability distributions. Interannual variations were observed in the spatial arrangement of macrophytes and the area's growth trend, possibly being caused by the implantation of an upstream reservoir. Although the number of images without interference was a limitation, the construction of a historical series of macrophytes occupation and the determination of permanence curves and maps proved to be satisfactory and could help on the decision-making processes for the management of these organisms.Associação Brasileira de Recursos Hídricos2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100234RBRH v.27 2022reponame:RBRH (Online)instname:Associação Brasileira de Recursos Hídricos (ABRH)instacron:ABRH10.1590/2318-0331.272220220074info:eu-repo/semantics/openAccessLuz,Aline Guidolin daBleninger,Tobias BernwardPolli,Bruna ArcieLipski,Bernardoeng2022-11-24T00:00:00Zoai:scielo:S2318-03312022000100234Revistahttps://www.scielo.br/j/rbrh/https://old.scielo.br/oai/scielo-oai.php||rbrh@abrh.org.br2318-03311414-381Xopendoar:2022-11-24T00:00RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH)false |
dc.title.none.fl_str_mv |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
title |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
spellingShingle |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine Luz,Aline Guidolin da Remote sensing Aquatic macrophytes Jupiá Reservoir Growth trend Seasonality Flows |
title_short |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
title_full |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
title_fullStr |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
title_full_unstemmed |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
title_sort |
Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine |
author |
Luz,Aline Guidolin da |
author_facet |
Luz,Aline Guidolin da Bleninger,Tobias Bernward Polli,Bruna Arcie Lipski,Bernardo |
author_role |
author |
author2 |
Bleninger,Tobias Bernward Polli,Bruna Arcie Lipski,Bernardo |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Luz,Aline Guidolin da Bleninger,Tobias Bernward Polli,Bruna Arcie Lipski,Bernardo |
dc.subject.por.fl_str_mv |
Remote sensing Aquatic macrophytes Jupiá Reservoir Growth trend Seasonality Flows |
topic |
Remote sensing Aquatic macrophytes Jupiá Reservoir Growth trend Seasonality Flows |
description |
ABSTRACT The presence of large amounts of aquatic macrophytes in reservoirs can trigger several impacts on the local ecosystem and conventional methodologies used for their monitoring only returns information from the present moment. With that in mind, this study aimed to map spatio-temporal variation of macrophyte cover using Landsat 5, 7 and 8 images between 1984-2021 at Jupiá reservoir, in south east of Brazil, besides determining curves and maps of macrophyte cover permanence. The identification of these organisms in the images, and their distinction from other vegetations, was made through spectral indices (NDVI, GNDVI and GSAVI) and the determination of the characteristic range of each of these classes, which was given by probability distributions. Interannual variations were observed in the spatial arrangement of macrophytes and the area's growth trend, possibly being caused by the implantation of an upstream reservoir. Although the number of images without interference was a limitation, the construction of a historical series of macrophytes occupation and the determination of permanence curves and maps proved to be satisfactory and could help on the decision-making processes for the management of these organisms. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 |
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=S2318-03312022000100234 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312022000100234 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/2318-0331.272220220074 |
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 |
Associação Brasileira de Recursos Hídricos |
publisher.none.fl_str_mv |
Associação Brasileira de Recursos Hídricos |
dc.source.none.fl_str_mv |
RBRH v.27 2022 reponame:RBRH (Online) instname:Associação Brasileira de Recursos Hídricos (ABRH) instacron:ABRH |
instname_str |
Associação Brasileira de Recursos Hídricos (ABRH) |
instacron_str |
ABRH |
institution |
ABRH |
reponame_str |
RBRH (Online) |
collection |
RBRH (Online) |
repository.name.fl_str_mv |
RBRH (Online) - Associação Brasileira de Recursos Hídricos (ABRH) |
repository.mail.fl_str_mv |
||rbrh@abrh.org.br |
_version_ |
1754734702359478272 |