Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing

Detalhes bibliográficos
Autor(a) principal: Santos, Sarah Moura Batista dos
Data de Publicação: 2022
Outros Autores: Bento-Gonçalves, António, Vieira, António, Santos, Jonathas, Ganem, Khalil Ali, Franca-Rocha, Washington, Figueiredo, Raiânnata Machado, Duverger, Soltan Galano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/1822/82403
Resumo: Understanding fire dynamics in vegetation is essential for assessing the impacts caused by wildfire action, especially because biomass burning in ecosystems has been indicated as one of the main factors that impact climate and biodiversity. A current alternative to detecting fire via satellite data is cloud processing platforms such as Google Earth Engine (GEE). Given this context, this work aims to assess the degree of vegetation regrowth after a wildfire in an area included in the Chapada Diamantina National Park (Bahia - Brazil) based on applying the Normalized Burn Ratio (NBR) in Landsat Surface Reflectance Tier 1 data sets. The images were accessed and processed on the GEE platform. The NBR index was more sensitive to the pre- and post-fire displacements of the pixels affected by the fires between the Landsat NIR and SWIR image bands. We found that the NBR mean values decreased immediately after the fire occurrence in the entire study area. Then, following the wildfire, the NBR mean values returned to conditions similar to those that preceded the fire. We can conclude that the plant biomass had already recovered considerably nine months after the fire when checking the NBR values. Therefore, this study points out the need to better understand the wildfire dynamics in the Chapada Diamantina National Park region and the impact associated with these events, with respect to fire ecology.
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spelling Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensingAvaliação da regeneração da vegetação pós-incêndio no Parque Nacional da Chapada Diamantina do Brasil através de sensoriamento remotoGoogle Earth EngineLandsat 8Vegetation regrowthForest fireNBRRegeneração da vegetaçãoIncêndios florestaisCiências Naturais::Ciências da Terra e do AmbienteUnderstanding fire dynamics in vegetation is essential for assessing the impacts caused by wildfire action, especially because biomass burning in ecosystems has been indicated as one of the main factors that impact climate and biodiversity. A current alternative to detecting fire via satellite data is cloud processing platforms such as Google Earth Engine (GEE). Given this context, this work aims to assess the degree of vegetation regrowth after a wildfire in an area included in the Chapada Diamantina National Park (Bahia - Brazil) based on applying the Normalized Burn Ratio (NBR) in Landsat Surface Reflectance Tier 1 data sets. The images were accessed and processed on the GEE platform. The NBR index was more sensitive to the pre- and post-fire displacements of the pixels affected by the fires between the Landsat NIR and SWIR image bands. We found that the NBR mean values decreased immediately after the fire occurrence in the entire study area. Then, following the wildfire, the NBR mean values returned to conditions similar to those that preceded the fire. We can conclude that the plant biomass had already recovered considerably nine months after the fire when checking the NBR values. Therefore, this study points out the need to better understand the wildfire dynamics in the Chapada Diamantina National Park region and the impact associated with these events, with respect to fire ecology.A compreensão da dinâmica do fogo na vegetação é essencial para avaliar os impactes causados pela ação dos incêndios florestais, especialmente porque a queima de biomassa nos ecossistemas tem sido indicada como um dos principais fatores que impactam o clima e a biodiversidade. Uma alternativa atual para detetar incêndios através de dados de satélite são as plataformas de processamento em nuvens, como o Google Earth Engine (GEE). Dado este contexto, o presente trabalho visa avaliar o grau de recuperação da vegetação após um evento de incêndio numa área incluída no Parque Nacional da Chapada Diamantina (Bahia - Brasil) com base na aplicação da Razão de Queimada Normalizada (NBR) em conjuntos de dados Landsat Surface Reflectance Tier 1. As imagens foram acessadas e processadas na plataforma GEE. O índice NBR revelou-se mais sensível aos deslocamentos pré e pós-fogo dos pixels afetados pelos incêndios entre as bandas de imagem Landsat NIR e SWIR. Verificou-se que os valores médios do NBR diminuíram imediatamente após a ocorrência do incêndio em toda a área de estudo. Após o incêndio, os valores médios do NBR foram apontando no sentido do retorno a condições similares àquelas que o precederam, indicando os valores de NBR que a biomassa vegetal, nove meses após o incêndio, já apresentava uma considerável recuperação. Neste sentido, este estudo demonstra a necessidade de se conhecer melhor a dinâmica dos incêndios na região do Parque Nacional da Chapada Diamantina e os impactes associados a estes eventos, no que respeita à ecologia do fogo.UMinho EditoraUniversidade do MinhoSantos, Sarah Moura Batista dosBento-Gonçalves, AntónioVieira, AntónioSantos, JonathasGanem, Khalil AliFranca-Rocha, WashingtonFigueiredo, Raiânnata MachadoDuverger, Soltan Galano20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/82403engSantos, S. M. B. dos., Bento-Gonçalves, A., Vieira, A., Santos, J., Ganem, K. A., Franca-Rocha, W., Figueiredo, R. M., & Duverger, S. G. (2022). Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing. Physis Terrae, 4(1-2), 1-19. https://doi.org/10.21814/physisterrae.44822184-626X10.21814/physisterrae.4482https://doi.org/10.21814/physisterrae.4482info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T12:26:59Zoai:repositorium.sdum.uminho.pt:1822/82403Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T19:21:30.559614Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
Avaliação da regeneração da vegetação pós-incêndio no Parque Nacional da Chapada Diamantina do Brasil através de sensoriamento remoto
title Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
spellingShingle Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
Santos, Sarah Moura Batista dos
Google Earth Engine
Landsat 8
Vegetation regrowth
Forest fire
NBR
Regeneração da vegetação
Incêndios florestais
Ciências Naturais::Ciências da Terra e do Ambiente
title_short Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
title_full Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
title_fullStr Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
title_full_unstemmed Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
title_sort Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing
author Santos, Sarah Moura Batista dos
author_facet Santos, Sarah Moura Batista dos
Bento-Gonçalves, António
Vieira, António
Santos, Jonathas
Ganem, Khalil Ali
Franca-Rocha, Washington
Figueiredo, Raiânnata Machado
Duverger, Soltan Galano
author_role author
author2 Bento-Gonçalves, António
Vieira, António
Santos, Jonathas
Ganem, Khalil Ali
Franca-Rocha, Washington
Figueiredo, Raiânnata Machado
Duverger, Soltan Galano
author2_role author
author
author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Santos, Sarah Moura Batista dos
Bento-Gonçalves, António
Vieira, António
Santos, Jonathas
Ganem, Khalil Ali
Franca-Rocha, Washington
Figueiredo, Raiânnata Machado
Duverger, Soltan Galano
dc.subject.por.fl_str_mv Google Earth Engine
Landsat 8
Vegetation regrowth
Forest fire
NBR
Regeneração da vegetação
Incêndios florestais
Ciências Naturais::Ciências da Terra e do Ambiente
topic Google Earth Engine
Landsat 8
Vegetation regrowth
Forest fire
NBR
Regeneração da vegetação
Incêndios florestais
Ciências Naturais::Ciências da Terra e do Ambiente
description Understanding fire dynamics in vegetation is essential for assessing the impacts caused by wildfire action, especially because biomass burning in ecosystems has been indicated as one of the main factors that impact climate and biodiversity. A current alternative to detecting fire via satellite data is cloud processing platforms such as Google Earth Engine (GEE). Given this context, this work aims to assess the degree of vegetation regrowth after a wildfire in an area included in the Chapada Diamantina National Park (Bahia - Brazil) based on applying the Normalized Burn Ratio (NBR) in Landsat Surface Reflectance Tier 1 data sets. The images were accessed and processed on the GEE platform. The NBR index was more sensitive to the pre- and post-fire displacements of the pixels affected by the fires between the Landsat NIR and SWIR image bands. We found that the NBR mean values decreased immediately after the fire occurrence in the entire study area. Then, following the wildfire, the NBR mean values returned to conditions similar to those that preceded the fire. We can conclude that the plant biomass had already recovered considerably nine months after the fire when checking the NBR values. Therefore, this study points out the need to better understand the wildfire dynamics in the Chapada Diamantina National Park region and the impact associated with these events, with respect to fire ecology.
publishDate 2022
dc.date.none.fl_str_mv 2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://hdl.handle.net/1822/82403
url https://hdl.handle.net/1822/82403
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Santos, S. M. B. dos., Bento-Gonçalves, A., Vieira, A., Santos, J., Ganem, K. A., Franca-Rocha, W., Figueiredo, R. M., & Duverger, S. G. (2022). Evaluating post-fire vegetation regrowth in Brazil’s Chapada Diamantina National Park using remote sensing. Physis Terrae, 4(1-2), 1-19. https://doi.org/10.21814/physisterrae.4482
2184-626X
10.21814/physisterrae.4482
https://doi.org/10.21814/physisterrae.4482
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv UMinho Editora
publisher.none.fl_str_mv UMinho Editora
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
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