ANALYSIS OF THE SPATIO-TEMPORAL DYNAMICS OF WATER MIRRORS IN PERNAMBUCO RESERVOIRS THROUGH REMOTE SENSING
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , |
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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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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1797067010371223552 |