ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING

Detalhes bibliográficos
Autor(a) principal: Barbosa, Antônio Helton da Silva
Data de Publicação: 2023
Outros Autores: Cuellar, Miguel Dragomir Zanic, Moreira, Melquisedec Medeiros, Arraes, Kátia Alves, Silva, Camila Saiury Pereira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/61719
Resumo: In recent years, in the midst of the drought and water crisis that has affected several regions of Brazil, in particular the semiarid region, reservoirs have been constantly monitored. In this context, the objective of this work was to analyze, through Remote Sensing, the dynamics of water mirrors in Pernambuco reservoirs, in order to show how the area of water mirrors was affected by low rainfall, from 2012 to 2017. For this, the Google Earth Engine platform was used to analyze Landsat images. For water delimitation, an enhancement technique was used to convert RGB images to HVS, creating a panchromatic image and facilitating the process of identifying water mirrors. Thus, the results indicated that all reservoirs lost area, and some came to dry completely. Furthermore, the results also suggest that the reservoirs located in the hydrographic basins with the wettest climate presented lower area loss compared to those with drier climates. This information is extremely important for the planning and environmental management of water resources, from the perspective of fostering supply policies and, therefore, expanding the capacity to face problems related to water security.
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spelling ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSINGANÁLISE DA DINÂMICA ESPAÇO-TEMPORAL DOS ESPELHOS D’ÁGUA DOS RESERVATÓRIOS DE PERNAMBUCO POR MEIO DE SENSORIAMENTO REMOTOSemiáridoRecursos hídricosSecaGoogle Earth EngineLandsatSemiaridWater resourcesDroughtGoogle Earth EngineLandsatIn recent years, in the midst of the drought and water crisis that has affected several regions of Brazil, in particular the semiarid region, reservoirs have been constantly monitored. In this context, the objective of this work was to analyze, through Remote Sensing, the dynamics of water mirrors in Pernambuco reservoirs, in order to show how the area of water mirrors was affected by low rainfall, from 2012 to 2017. For this, the Google Earth Engine platform was used to analyze Landsat images. For water delimitation, an enhancement technique was used to convert RGB images to HVS, creating a panchromatic image and facilitating the process of identifying water mirrors. Thus, the results indicated that all reservoirs lost area, and some came to dry completely. Furthermore, the results also suggest that the reservoirs located in the hydrographic basins with the wettest climate presented lower area loss compared to those with drier climates. This information is extremely important for the planning and environmental management of water resources, from the perspective of fostering supply policies and, therefore, expanding the capacity to face problems related to water security.Nos últimos anos, em meio à seca e crise hídrica que afetaram várias regiões do Brasil, em particular a região semiárida, os reservatórios vêm sendo constantemente monitorados. Nesse contexto, o objetivo deste trabalho foi analisar, por meio de Sensoriamento Remoto, a dinâmica dos espelhos d'água dos reservatórios de Pernambuco, a fim de mostrar como a área dos espelhos d'água foi afetada pelas baixas precipitações, compreendendo os anos de 2012 a 2017. Para isso, foi utilizada a plataforma Google Earth Engine para analisar imagens do Landsat. Para a delimitação das águas, foi utilizada uma técnica de realce para converter as imagens RGB para HVS, criando uma imagem pancromática e facilitando o processo de identificação dos espelhos d'água. Desse modo, os resultados indicaram que todos os reservatórios perderam área, onde alguns chegaram a secar completamente. Além disso, os resultados ainda sugerem que os reservatórios localizados nas bacias hidrográficas de clima mais úmido apresentaram menor perda de área em comparação com as de clima mais seco. Essas informações são extremamente importantes para o planejamento e a gestão ambiental dos recursos hídricos, sob a perspectiva de fomentar políticas de abastecimento e, com isso, ampliar a capacidade de enfrentar problemas relacionados à segurança hídrica.EDUFU - Editora da Universidade Federal de Uberlândia2023-02-22info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6171910.14393/RCG249161719Caminhos de Geografia; Vol. 24 No. 91 (2023): Fevereiro; 396-415Caminhos de Geografia; Vol. 24 Núm. 91 (2023): Fevereiro; 396-415Caminhos de Geografia; v. 24 n. 91 (2023): Fevereiro; 396-4151678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/61719/35630Copyright (c) 2023 Antônio Helton da Silva Barbosa, Miguel Dragomir Zanic Cuellar, Melquisedec Medeiros Moreira, Kátia Alves Arraes, Camila Saiury Pereira Silvahttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessBarbosa, Antônio Helton da SilvaCuellar, Miguel Dragomir ZanicMoreira, Melquisedec MedeirosArraes, Kátia AlvesSilva, Camila Saiury Pereira2023-02-22T20:06:08Zoai:ojs.www.seer.ufu.br:article/61719Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2023-02-22T20:06:08Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
ANÁLISE DA DINÂMICA ESPAÇO-TEMPORAL DOS ESPELHOS D’ÁGUA DOS RESERVATÓRIOS DE PERNAMBUCO POR MEIO DE SENSORIAMENTO REMOTO
title ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
spellingShingle ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
Barbosa, Antônio Helton da Silva
Semiárido
Recursos hídricos
Seca
Google Earth Engine
Landsat
Semiarid
Water resources
Drought
Google Earth Engine
Landsat
title_short ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
title_full ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
title_fullStr ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
title_full_unstemmed ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
title_sort ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
author Barbosa, Antônio Helton da Silva
author_facet Barbosa, Antônio Helton da Silva
Cuellar, Miguel Dragomir Zanic
Moreira, Melquisedec Medeiros
Arraes, Kátia Alves
Silva, Camila Saiury Pereira
author_role author
author2 Cuellar, Miguel Dragomir Zanic
Moreira, Melquisedec Medeiros
Arraes, Kátia Alves
Silva, Camila Saiury Pereira
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Barbosa, Antônio Helton da Silva
Cuellar, Miguel Dragomir Zanic
Moreira, Melquisedec Medeiros
Arraes, Kátia Alves
Silva, Camila Saiury Pereira
dc.subject.por.fl_str_mv Semiárido
Recursos hídricos
Seca
Google Earth Engine
Landsat
Semiarid
Water resources
Drought
Google Earth Engine
Landsat
topic Semiárido
Recursos hídricos
Seca
Google Earth Engine
Landsat
Semiarid
Water resources
Drought
Google Earth Engine
Landsat
description In recent years, in the midst of the drought and water crisis that has affected several regions of Brazil, in particular the semiarid region, reservoirs have been constantly monitored. In this context, the objective of this work was to analyze, through Remote Sensing, the dynamics of water mirrors in Pernambuco reservoirs, in order to show how the area of water mirrors was affected by low rainfall, from 2012 to 2017. For this, the Google Earth Engine platform was used to analyze Landsat images. For water delimitation, an enhancement technique was used to convert RGB images to HVS, creating a panchromatic image and facilitating the process of identifying water mirrors. Thus, the results indicated that all reservoirs lost area, and some came to dry completely. Furthermore, the results also suggest that the reservoirs located in the hydrographic basins with the wettest climate presented lower area loss compared to those with drier climates. This information is extremely important for the planning and environmental management of water resources, from the perspective of fostering supply policies and, therefore, expanding the capacity to face problems related to water security.
publishDate 2023
dc.date.none.fl_str_mv 2023-02-22
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Avaliado pelos pares
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/61719
10.14393/RCG249161719
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/61719
identifier_str_mv 10.14393/RCG249161719
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/61719/35630
dc.rights.driver.fl_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
publisher.none.fl_str_mv EDUFU - Editora da Universidade Federal de Uberlândia
dc.source.none.fl_str_mv Caminhos de Geografia; Vol. 24 No. 91 (2023): Fevereiro; 396-415
Caminhos de Geografia; Vol. 24 Núm. 91 (2023): Fevereiro; 396-415
Caminhos de Geografia; v. 24 n. 91 (2023): Fevereiro; 396-415
1678-6343
reponame:Caminhos de Geografia
instname:Universidade Federal de Uberlândia (UFU)
instacron:UFU
instname_str Universidade Federal de Uberlândia (UFU)
instacron_str UFU
institution UFU
reponame_str Caminhos de Geografia
collection Caminhos de Geografia
repository.name.fl_str_mv Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)
repository.mail.fl_str_mv flaviasantosgeo@gmail.com
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