Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | por |
Título da fonte: | Research, Society and Development |
Texto Completo: | https://rsdjournal.org/index.php/rsd/article/view/27890 |
Resumo: | In the past few decades, droughts have increased along with the globe, including in Brazil, and such episodes occur with greater severity in the Brazilian Northeast (NEB). Consequently, these droughts trigger environmental, socio-economic, and regional problems. This work assessed the behavior of these events from Vegetation Health Index (VHI) on the NEB. This analysis will be carried out from the Global Vegetation Health (GVH) data, based on the satellite records via Advanced Very High-Resolution Radiometer (AVHRR) sensor, made available by National Oceanographic and Atmospheric Administration (NOAA). These data have temporal resolution on a weekly scale during the years 1982-2019, to which they were converted to annual composites, while the spatial resolution is 4km x 4km. A prior analysis was realized and selected 1983, 1993, 1998 (three episodes of El Niño), and 2012 (anomalous episode of La Niña), based on the Oceanic Niño Index (ONI). The results obtained from the annual VHI behavior pointed out significant spatial differences, with the classes referring to severe drought (annual VHI between 0-6%) and extreme (annual VHI between 6-12%) detected in the states of Ceará, Piauí, and Rio Grande do Norte during the years 1983, 1993 and 2012. The year 2012 was the most severe among the years analyzed, with the highest percentage of the class regarding extreme and severe drought with the values of 0.5% and 5.5% of the total area of the NEB, respectively, mainly in the central region of Bahia. The drought initiated during the La Niña of 2012 lasted until 2017 caused a devastating effect on the NEB, causing substantial variability in the rainfall totals, culminating in enormous socio-environmental and economic damage. |
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Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian NortheastEvaluación del comportamiento del índice de salud de la vegetación en el diagnóstico de sequías en el nordeste brasileñoAvaliação do comportamento Vegetation Health Index no diagnóstico de secas no Nordeste brasileiroGlobal Vegetation HealthAdvanced Very High-Resolution RadiometerBahiaCeará.Global Vegetation HealthAdvanced Very High-Resolution RadiometerBahiaCeará.Global Vegetation HealthAdvanced Very High-Resolution RadiometerBahiaCeará.In the past few decades, droughts have increased along with the globe, including in Brazil, and such episodes occur with greater severity in the Brazilian Northeast (NEB). Consequently, these droughts trigger environmental, socio-economic, and regional problems. This work assessed the behavior of these events from Vegetation Health Index (VHI) on the NEB. This analysis will be carried out from the Global Vegetation Health (GVH) data, based on the satellite records via Advanced Very High-Resolution Radiometer (AVHRR) sensor, made available by National Oceanographic and Atmospheric Administration (NOAA). These data have temporal resolution on a weekly scale during the years 1982-2019, to which they were converted to annual composites, while the spatial resolution is 4km x 4km. A prior analysis was realized and selected 1983, 1993, 1998 (three episodes of El Niño), and 2012 (anomalous episode of La Niña), based on the Oceanic Niño Index (ONI). The results obtained from the annual VHI behavior pointed out significant spatial differences, with the classes referring to severe drought (annual VHI between 0-6%) and extreme (annual VHI between 6-12%) detected in the states of Ceará, Piauí, and Rio Grande do Norte during the years 1983, 1993 and 2012. The year 2012 was the most severe among the years analyzed, with the highest percentage of the class regarding extreme and severe drought with the values of 0.5% and 5.5% of the total area of the NEB, respectively, mainly in the central region of Bahia. The drought initiated during the La Niña of 2012 lasted until 2017 caused a devastating effect on the NEB, causing substantial variability in the rainfall totals, culminating in enormous socio-environmental and economic damage.En las últimas décadas, la ocurrencia de sequías ha aumentado a lo largo del globo, incluso en Brasil, y tales episodios ocurren con mayor severidad en el Noreste Brasileño (NEB). Como consecuencia, estas sequías provocan problemas ambientales, socioeconómicos y regionales. En este trabajo, se evaluó el comportamiento de estos eventos del Índice de Salud de la Vegetación (VHI) en la NEB. Este análisis se llevará a cabo a partir de los datos de Global Vegetation Health (GVH), basados en los registros satelitales a través del sensor de Radiómetro Avanzado Muy Alto-Resolución (AVHRR), puesto a disposición por la Administración Nacional Oceanográfica y Atmosférica (NOAA). Estos datos tienen resolución temporal a escala semanal durante los años 1982-2019, a los que se convirtieron a composiciones anuales, mientras que la resolución espacial es de 4km x 4km. De un análisis previo seleccionaron los años 1983, 1993, 1998 (tres episodios de El Niño) y 2012 (episodio atípico de La Niña), basados en el Índice de Niño Oceánico (ONI). Los resultados obtenidos del comportamiento anual de VHI señalaron diferencias espaciales significativas, con las clases referidas a la sequía severa (VHI anual entre 0-6%) y extrema (VHI anual entre 6-12%) detectada en los estados de Ceará, Piauí y Rio Grande do Norte durante los años 1983, 1993 y 2012. El año 2012 fue el más severo entre los años analizados, con el mayor porcentaje de la clase en cuanto a sequía extrema y severa con valores de 0,5% y 5,5% del área total de la NEB, respectivamente, principalmente en la región central de Bahía. La sequía iniciada durante el 2012 La Niña duró hasta 2017 causó un efecto devastador en la NEB, desencadenando una fuerte variabilidad en los totales pluviométricos, culminando con enormes daños socio-ambientales y económicos.Nas últimas décadas, a ocorrência de secas aumentou ao longo do globo, inclusive no Brasil, e tais episódios ocorrem com maior severidade no Nordeste brasileiro (NEB). Como consequência, essas secas desencadeiam problemas ambientais, socioeconômicos e regionais. Neste trabalho, avaliou-se o comportamento desses eventos a partir do Vegetation Health Index (VHI) sobre o NEB. Esta análise será realizada a partir dos dados do Global Vegetation Health (GVH), com base nos registros de satélites via sensor Advanced Very High-Resolution Radiometer (AVHRR), disponibilizado pelo National Oceanographic and Atmospheric Administration (NOAA). Esses dados possuem resolução temporal em escala semanal durante os anos de 1982-2019, ao qual foram convertidos para composições anuais, enquanto a resolução espacial é de 4km x 4km. A partir de uma análise prévia selecionou-se os anos de 1983, 1993, 1998 (três episódios de El Niño) e 2012 (episódio atípico de La Niña), baseadas no Oceanic Niño Index (ONI). Os resultados obtidos do comportamento do VHI anual apontaram diferenças espaciais significativas, com as classes referentes a seca severa (VHI anual entre 0-6%) e extrema (VHI anual entre 6-12%) detectadas nos estados do Ceará, Piauí, e Rio Grande do Norte durante os anos 1983, 1993 e 2012. O ano de 2012 foi o mais severo entre os anos analisados, com o maior percentual da classe referente a seca extrema e severa com os valores de 0,5% e 5,5% da área total do NEB, respectivamente, principalmente na região central da Bahia. A seca iniciada durante o La Niña de 2012 perdurou até 2017 causou efeito devastador sobre o NEB, provocando forte variabilidade nos totais pluviométricos, culminando em enormes prejuízos socioambientais e econômicos.Research, Society and Development2022-03-26info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://rsdjournal.org/index.php/rsd/article/view/2789010.33448/rsd-v11i4.27890Research, Society and Development; Vol. 11 No. 4; e54011427890Research, Society and Development; Vol. 11 Núm. 4; e54011427890Research, Society and Development; v. 11 n. 4; e540114278902525-3409reponame:Research, Society and Developmentinstname:Universidade Federal de Itajubá (UNIFEI)instacron:UNIFEIporhttps://rsdjournal.org/index.php/rsd/article/view/27890/24180Copyright (c) 2022 Carla Taciane Brasil dos Santos; Washington Luiz Félix Correia Filho; José Francisco de Oliveira-Júnior; Dimas de Barros Santiago; Bárbara Alves Batistahttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessSantos, Carla Taciane Brasil dosCorreia Filho, Washington Luiz FélixOliveira-Júnior, José Francisco deSantiago, Dimas de BarrosBatista, Bárbara Alves2022-03-27T17:17:09Zoai:ojs.pkp.sfu.ca:article/27890Revistahttps://rsdjournal.org/index.php/rsd/indexPUBhttps://rsdjournal.org/index.php/rsd/oairsd.articles@gmail.com2525-34092525-3409opendoar:2024-01-17T09:45:28.610396Research, Society and Development - Universidade Federal de Itajubá (UNIFEI)false |
dc.title.none.fl_str_mv |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast Evaluación del comportamiento del índice de salud de la vegetación en el diagnóstico de sequías en el nordeste brasileño Avaliação do comportamento Vegetation Health Index no diagnóstico de secas no Nordeste brasileiro |
title |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
spellingShingle |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast Santos, Carla Taciane Brasil dos Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. |
title_short |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
title_full |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
title_fullStr |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
title_full_unstemmed |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
title_sort |
Evaluation of Vegetation Health Index behavior in the diagnosis of droughts in the Brazilian Northeast |
author |
Santos, Carla Taciane Brasil dos |
author_facet |
Santos, Carla Taciane Brasil dos Correia Filho, Washington Luiz Félix Oliveira-Júnior, José Francisco de Santiago, Dimas de Barros Batista, Bárbara Alves |
author_role |
author |
author2 |
Correia Filho, Washington Luiz Félix Oliveira-Júnior, José Francisco de Santiago, Dimas de Barros Batista, Bárbara Alves |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos, Carla Taciane Brasil dos Correia Filho, Washington Luiz Félix Oliveira-Júnior, José Francisco de Santiago, Dimas de Barros Batista, Bárbara Alves |
dc.subject.por.fl_str_mv |
Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. |
topic |
Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. Global Vegetation Health Advanced Very High-Resolution Radiometer Bahia Ceará. |
description |
In the past few decades, droughts have increased along with the globe, including in Brazil, and such episodes occur with greater severity in the Brazilian Northeast (NEB). Consequently, these droughts trigger environmental, socio-economic, and regional problems. This work assessed the behavior of these events from Vegetation Health Index (VHI) on the NEB. This analysis will be carried out from the Global Vegetation Health (GVH) data, based on the satellite records via Advanced Very High-Resolution Radiometer (AVHRR) sensor, made available by National Oceanographic and Atmospheric Administration (NOAA). These data have temporal resolution on a weekly scale during the years 1982-2019, to which they were converted to annual composites, while the spatial resolution is 4km x 4km. A prior analysis was realized and selected 1983, 1993, 1998 (three episodes of El Niño), and 2012 (anomalous episode of La Niña), based on the Oceanic Niño Index (ONI). The results obtained from the annual VHI behavior pointed out significant spatial differences, with the classes referring to severe drought (annual VHI between 0-6%) and extreme (annual VHI between 6-12%) detected in the states of Ceará, Piauí, and Rio Grande do Norte during the years 1983, 1993 and 2012. The year 2012 was the most severe among the years analyzed, with the highest percentage of the class regarding extreme and severe drought with the values of 0.5% and 5.5% of the total area of the NEB, respectively, mainly in the central region of Bahia. The drought initiated during the La Niña of 2012 lasted until 2017 caused a devastating effect on the NEB, causing substantial variability in the rainfall totals, culminating in enormous socio-environmental and economic damage. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-03-26 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/27890 10.33448/rsd-v11i4.27890 |
url |
https://rsdjournal.org/index.php/rsd/article/view/27890 |
identifier_str_mv |
10.33448/rsd-v11i4.27890 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.relation.none.fl_str_mv |
https://rsdjournal.org/index.php/rsd/article/view/27890/24180 |
dc.rights.driver.fl_str_mv |
https://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Research, Society and Development |
publisher.none.fl_str_mv |
Research, Society and Development |
dc.source.none.fl_str_mv |
Research, Society and Development; Vol. 11 No. 4; e54011427890 Research, Society and Development; Vol. 11 Núm. 4; e54011427890 Research, Society and Development; v. 11 n. 4; e54011427890 2525-3409 reponame:Research, Society and Development instname:Universidade Federal de Itajubá (UNIFEI) instacron:UNIFEI |
instname_str |
Universidade Federal de Itajubá (UNIFEI) |
instacron_str |
UNIFEI |
institution |
UNIFEI |
reponame_str |
Research, Society and Development |
collection |
Research, Society and Development |
repository.name.fl_str_mv |
Research, Society and Development - Universidade Federal de Itajubá (UNIFEI) |
repository.mail.fl_str_mv |
rsd.articles@gmail.com |
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1797052764394618880 |