Spatio-temporal variation of aquatic macrophyte cover in a reservoir using Landsat images and Google Earth Engine

Detalhes bibliográficos
Autor(a) principal: Luz,Aline Guidolin da
Data de Publicação: 2022
Outros Autores: Bleninger,Tobias Bernward, Polli,Bruna Arcie, Lipski,Bernardo
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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spelling 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
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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
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reponame_str RBRH (Online)
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