REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG

Detalhes bibliográficos
Autor(a) principal: Dutra, Débora Joana
Data de Publicação: 2024
Outros Autores: Elmiro, Marcos Antônio Timbó
Tipo de documento: Artigo
Idioma: por
Título da fonte: Caminhos de Geografia
Texto Completo: https://seer.ufu.br/index.php/caminhosdegeografia/article/view/63493
Resumo: Recurrent anthropic pressures in the environment have caused several changes in natural cycles, including the hydrological cycle. The main consequence of changes in the hydrological cycle is associated with the worsening of drought and the presence of water scarcity events. In this aspect, the objective of this work is to verify the effectiveness of MODIS sensor data for meteorological and hydrological drought analysis in the Serra Azul stream sub-basin (MG) through application of the vegetation condition index (VCI). For this, the calculation of the VCI and statistical analyzes were carried out with meteorological, hydrological data and climatological reports between the years 2013-2018 in order to identify the extent of drought in the sub-basin. The results made it possible to identify that the presence of external events and regional aspects contributed to the worsening of the drought. In addition, it was found that soil moisture may have influenced water storage in the study region. Through the results obtained, it was verified that the ICV has a significant capacity to identify drought events in the study region, confirmed by statistics in the regressions and correlations of the variables.
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spelling REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MGTÉCNICAS DE SENSORIAMENTO REMOTO APLICADOS NA ANÁLISE DE SECA EM BACIAS HIDROGRÁFICAS: ESTUDO DE CASO NA SUB-BACIA DO RIBEIRÃO SERRA AZUL - MGÍndice de Condição de VegetaçãoSensoriamento RemotoMODISSeca meteorológicaSeca HidrológicaVegetation Condition IndexRemote sensingMODMeteorological droughtHydrological DroughtRecurrent anthropic pressures in the environment have caused several changes in natural cycles, including the hydrological cycle. The main consequence of changes in the hydrological cycle is associated with the worsening of drought and the presence of water scarcity events. In this aspect, the objective of this work is to verify the effectiveness of MODIS sensor data for meteorological and hydrological drought analysis in the Serra Azul stream sub-basin (MG) through application of the vegetation condition index (VCI). For this, the calculation of the VCI and statistical analyzes were carried out with meteorological, hydrological data and climatological reports between the years 2013-2018 in order to identify the extent of drought in the sub-basin. The results made it possible to identify that the presence of external events and regional aspects contributed to the worsening of the drought. In addition, it was found that soil moisture may have influenced water storage in the study region. Through the results obtained, it was verified that the ICV has a significant capacity to identify drought events in the study region, confirmed by statistics in the regressions and correlations of the variables.As recorrentes pressões antrópicas no ambiente têm ocasionado diversas alterações nos ciclos naturais, dentre eles o ciclo hidrológico. A principal consequência das mudanças do ciclo hidrológico está associada ao agravamento da seca e à presença de eventos de escassez hídrica. Nesse aspecto, o objetivo desse trabalho é verificar a eficácia de dados do sensor MODIS para análise de seca meteorológica e hidrológica na região da sub-bacia do ribeirão Serra Azul (MG) por meio de aplicação do índice de condição de vegetação (ICV). Para isso, realizou-se o cálculo do ICV e análises estatísticas com dados meteorológicos, hidrológicos e relatórios climatológicos entre os anos de 2013-2018 com o intuito de identificar a abrangência de seca na sub-bacia. Os resultados permitiram identificar que a presença de eventos externos e aspectos regionais contribuiu para o agravamento da seca. Além disso, verificou-se que a umidade do solo pode ter influenciado o armazenamento de água na região de estudo. Através dos resultados obtidos, verificou-se que o ICV possui capacidade significante para identificar eventos de seca na região de estudo, confirmando-se por estatísticas nas regressões e correlações das variáveis.EDUFU - Editora da Universidade Federal de Uberlândia2024-02-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAvaliado pelos paresapplication/pdfhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/6349310.14393/RCG259763493Caminhos de Geografia; Vol. 25 No. 97 (2024): Fevereiro; 21–43Caminhos de Geografia; Vol. 25 Núm. 97 (2024): Fevereiro; 21–43Caminhos de Geografia; v. 25 n. 97 (2024): Fevereiro; 21–431678-6343reponame:Caminhos de Geografiainstname:Universidade Federal de Uberlândia (UFU)instacron:UFUporhttps://seer.ufu.br/index.php/caminhosdegeografia/article/view/63493/38067Copyright (c) 2024 Débora Joana Dutra, Marcos Antônio Timbó Elmirohttp://creativecommons.org/licenses/by-nc-nd/4.0info:eu-repo/semantics/openAccessDutra, Débora JoanaElmiro, Marcos Antônio Timbó2024-02-20T13:00:06Zoai:ojs.www.seer.ufu.br:article/63493Revistahttps://seer.ufu.br/index.php/caminhosdegeografia/indexPUBhttp://www.seer.ufu.br/index.php/caminhosdegeografia/oaiflaviasantosgeo@gmail.com1678-63431678-6343opendoar:2024-02-20T13:00:06Caminhos de Geografia - Universidade Federal de Uberlândia (UFU)false
dc.title.none.fl_str_mv REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
TÉCNICAS DE SENSORIAMENTO REMOTO APLICADOS NA ANÁLISE DE SECA EM BACIAS HIDROGRÁFICAS: ESTUDO DE CASO NA SUB-BACIA DO RIBEIRÃO SERRA AZUL - MG
title REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
spellingShingle REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
Dutra, Débora Joana
Índice de Condição de Vegetação
Sensoriamento Remoto
MODIS
Seca meteorológica
Seca Hidrológica
Vegetation Condition Index
Remote sensing
MOD
Meteorological drought
Hydrological Drought
title_short REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
title_full REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
title_fullStr REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
title_full_unstemmed REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
title_sort REMOTE SENSING TECHNIQUES APPLIED TO DROUGHT ANALYSIS IN HYDROGRAPHIC BASINS: CASE STUDY IN THE SUB-BASIN OF SERRA AZUL STREAM – MG
author Dutra, Débora Joana
author_facet Dutra, Débora Joana
Elmiro, Marcos Antônio Timbó
author_role author
author2 Elmiro, Marcos Antônio Timbó
author2_role author
dc.contributor.author.fl_str_mv Dutra, Débora Joana
Elmiro, Marcos Antônio Timbó
dc.subject.por.fl_str_mv Índice de Condição de Vegetação
Sensoriamento Remoto
MODIS
Seca meteorológica
Seca Hidrológica
Vegetation Condition Index
Remote sensing
MOD
Meteorological drought
Hydrological Drought
topic Índice de Condição de Vegetação
Sensoriamento Remoto
MODIS
Seca meteorológica
Seca Hidrológica
Vegetation Condition Index
Remote sensing
MOD
Meteorological drought
Hydrological Drought
description Recurrent anthropic pressures in the environment have caused several changes in natural cycles, including the hydrological cycle. The main consequence of changes in the hydrological cycle is associated with the worsening of drought and the presence of water scarcity events. In this aspect, the objective of this work is to verify the effectiveness of MODIS sensor data for meteorological and hydrological drought analysis in the Serra Azul stream sub-basin (MG) through application of the vegetation condition index (VCI). For this, the calculation of the VCI and statistical analyzes were carried out with meteorological, hydrological data and climatological reports between the years 2013-2018 in order to identify the extent of drought in the sub-basin. The results made it possible to identify that the presence of external events and regional aspects contributed to the worsening of the drought. In addition, it was found that soil moisture may have influenced water storage in the study region. Through the results obtained, it was verified that the ICV has a significant capacity to identify drought events in the study region, confirmed by statistics in the regressions and correlations of the variables.
publishDate 2024
dc.date.none.fl_str_mv 2024-02-20
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/63493
10.14393/RCG259763493
url https://seer.ufu.br/index.php/caminhosdegeografia/article/view/63493
identifier_str_mv 10.14393/RCG259763493
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://seer.ufu.br/index.php/caminhosdegeografia/article/view/63493/38067
dc.rights.driver.fl_str_mv Copyright (c) 2024 Débora Joana Dutra, Marcos Antônio Timbó Elmiro
http://creativecommons.org/licenses/by-nc-nd/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2024 Débora Joana Dutra, Marcos Antônio Timbó Elmiro
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. 25 No. 97 (2024): Fevereiro; 21–43
Caminhos de Geografia; Vol. 25 Núm. 97 (2024): Fevereiro; 21–43
Caminhos de Geografia; v. 25 n. 97 (2024): Fevereiro; 21–43
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
_version_ 1797067010457206784

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