1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21d.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34T/49K992E |
Repositório | sid.inpe.br/mtc-m21d/2023/08.10.19.32 (acesso restrito) |
Última Atualização | 2023:08.10.19.32.30 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21d/2023/08.10.19.32.30 |
Última Atualização dos Metadados | 2024:01.02.17.16.45 (UTC) administrator |
DOI | 10.3390/fire6070277 |
ISSN | 2571-6255 |
Chave de Citação | ShimabukuroOlPeArCaDuMa:2023:AsBuAr |
Título | Assessment of Burned Areas during the Pantanal Fire Crisis in 2020 Using Sentinel-2 Images |
Ano | 2023 |
Mês | July |
Data de Acesso | 17 jun. 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 2639 KiB |
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2. Contextualização | |
Autor | 1 Shimabukuro, Yosio Edemir 2 Oliveira, Gabriel de 3 Pereira, Gabriel 4 Arai, Egidio 5 Cardozo, Francielle 6 Dutra, Andeise Cerqueira 7 Mataveli, Guilherme Augusto Verola |
Identificador de Curriculo | 1 8JMKD3MGP5W/3C9JJCQ 2 3 4 8JMKD3MGP5W/3C9JGUP |
ORCID | 1 0000-0002-1469-8433 2 0000-0002-1940-6874 |
Grupo | 1 DIOTG-CGCT-INPE-MCTI-GOV-BR 2 3 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 6 DIOTG-CGCT-INPE-MCTI-GOV-BR 7 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Afiliação | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 University of South Alabama 3 Universidade Federal de São João Del Rei (UFSJ) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 Universidade Federal de São João Del Rei (UFSJ) 6 Instituto Nacional de Pesquisas Espaciais (INPE) 7 Instituto Nacional de Pesquisas Espaciais (INPE) |
Endereço de e-Mail do Autor | 1 yosio.shimabukuro@inpe.br 2 deoliveira@southalabama.edu 3 pereira@ufsj.edu.br 4 egidio.arai@inpe.br 5 franciellecardozo@ufsj.edu.br 6 andeise.dutra@inpe.br 7 mataveli@alumni.usp.br |
Revista | Fire |
Volume | 6 |
Número | 7 |
Páginas | e277 |
Histórico (UTC) | 2023-08-10 19:35:03 :: simone -> administrator :: 2023 2024-01-02 17:16:45 :: administrator -> simone :: 2023 |
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3. Conteúdo e estrutura | |
É a matriz ou uma cópia? | é a matriz |
Estágio do Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | burned area NBR NDVI Pantanal Sentinel-2 shade fraction wetland |
Resumo | The Pantanal biomea tropical wetland areahas been suffering a prolonged drought that started in 2019 and peaked in 2020. This favored the occurrence of natural disasters and led to the 2020 Pantanal fire crisis. The purpose of this work was to map the burned areas extent during this crisis in the Brazilian portion of the Pantanal biome using Sentinel-2 MSI images. The classification of the burned areas was performed using a machine learning algorithm (Random Forest) in the Google Earth Engine platform. Input variables in the algorithm were the percentiles 10, 25, 50, 75, and 90 of monthly (July to December) mosaics of the shade fraction, NDVI, and NBR images derived from Sentinel-2 MSI images. The results showed an overall accuracy of 95.9% and an estimate of 44,998 km2 burned in the Brazilian portion of the Pantanal, which resulted in severe ecosystem destruction and biodiversity loss in this biome. The burned area estimated in this work was higher than those estimated by the MCD64A1 (35,837 km2), Fire_cci (36,017 km2), GABAM (14,307 km2), and MapBiomas Fogo (23,372 km2) burned area products, which presented lower accuracies. These differences can be explained by the distinct datasets and methods used to obtain those estimates. The proposed approach based on Sentinel-2 images can potentially refine the burned areas estimation at a regional scale and, consequently, improve the estimate of trace gases and aerosols associated with biomass burning, where global biomass burning inventories are widely known for having biases at a regional scale. Our study brings to light the necessity of developing approaches that aim to improve data and theory about the impacts of fire in regions critically sensitive to climate change, such as the Pantanal, in order to improve Earth systems models that forecast wetlandatmosphere interactions, and the role of these fires on current and future climate change over these regions. |
Área | SRE |
Arranjo | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Assessment of Burned... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
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4. Condições de acesso e uso | |
Idioma | en |
Arquivo Alvo | fire-06-00277.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Permissão de Leitura | deny from all and allow from 150.163 |
Permissão de Atualização | não transferida |
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5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/46KUATE |
Lista de Itens Citando | sid.inpe.br/mtc-m21/2012/07.13.14.45.03 5 sid.inpe.br/bibdigital/2022/04.03.22.23 4 |
Divulgação | PORTALCAPES |
Acervo Hospedeiro | urlib.net/www/2021/06.04.03.40 |
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6. Notas | |
Campos Vazios | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark mirrorrepository nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Controle da descrição | |
e-Mail (login) | simone |
atualizar | |
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