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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21d.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34T/4B3DB9H
Repositóriosid.inpe.br/mtc-m21d/2024/04.01.11.31   (acesso restrito)
Última Atualização2024:04.01.11.31.40 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2024/04.01.11.31.40
Última Atualização dos Metadados2024:04.16.07.47.56 (UTC) administrator
DOI10.3390/fire7030067
ISSN2571-6255
Chave de CitaçãoFerroMADMSPOA:2024:ReAsBu
TítuloRegional-Scale Assessment of Burn Scar Mapping in Southwestern Amazonia Using Burned Area Products and CBERS/WFI Data Cubes
Ano2024
MêsMar.
Data de Acesso05 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho16403 KiB
2. Contextualização
Autor1 Ferro, Poliana Domingos
2 Mataveli, Guilherme Augusto Verola
3 Arcanjo, Jeferson de Souza
4 Dutra, Débora Joana
5 Medeiros, Thaís Pereira de
6 Shimabukuro, Yosio Edemir
7 Pessôa, Ana Carolina Moreira
8 Oliveira, Gabriel de
9 Anderson, Liana Oighenstein
Identificador de Curriculo1
2
3
4
5
6 8JMKD3MGP5W/3C9JJCQ
ORCID1
2 0000-0002-4645-0117
3
4 0000-0003-3748-5622
5 0000-0003-0342-4039
6 0000-0002-1469-8433
7
8 0000-0002-1940-6874
9 0000-0001-9545-5136
Grupo1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4
5 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
6 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Instituto Nacional de Pesquisas Espaciais (INPE)
7 Instituto de Pesquisa Ambiental da Amazônia (IPAM)
8 University of South Alabama
9 Centro Nacional de Monitoramento e Alertas de Desastres Naturais
Endereço de e-Mail do Autor1 poliana.ferro@inpe.br
2 guilherme.mataveli@inpe.br
3 jeferson.arcanjo@inpe.br
4 debora.dutra@cemaden.gov.br
5 thais.pereira@inpe.br
6 yosio.shimabukuro@inpe.br
7 ana.pessoa@ipam.org.br
8 deoliveira@southalabama.edu
9 liana.anderson@cemaden.gov.br
RevistaFire
Volume7
Número3
Páginase67
Histórico (UTC)2024-04-01 11:32:55 :: simone -> administrator :: 2024
2024-04-16 07:47:56 :: administrator -> simone :: 2024
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Tipo de Versãopublisher
Palavras-ChaveAmazon
burned area
CBERS
data cubes
linear spectral mixture model
regional assessment
ResumoFires are one of the main sources of disturbance in fire-sensitive ecosystems such as the Amazon. Any attempt to characterize their impacts and establish actions aimed at combating these events presupposes the correct identification of the affected areas. However, accurate mapping of burned areas in humid tropical forest regions remains a challenging task. In this paper, we evaluate the performance of four operational BA products (MCD64A1, Fire_cci, GABAM and MapBiomas Fogo) on a regional scale in the southwestern Amazon and propose a new approach to BA mapping using fraction images extracted from data cubes of the Brazilian orbital sensors CBERS-4/WFI and CBERS-4A/WFI. The methodology for detecting burned areas consisted of applying the Linear Spectral Mixture Model to the images from the CBERS-4/WFI and CBERS-4A/WFI data cubes to generate shadow fraction images, which were then segmented and classified using the ISOSEG non-supervised algorithm. Regression and similarity analyses based on regular grid cells were carried out to compare the BA mappings. The results showed large discrepancies between the mappings in terms of total area burned, land use and land cover affected (forest and non-forest) and spatial location of the burned area. The global products MCD64A1, GABAM and Fire_cci tended to underestimate the area burned in the region, with Fire_cci underestimating BA by 88%, while the regional product MapBiomas Fogo was the closest to the reference, underestimating by only 7%. The burned area estimated by the method proposed in this work (337.5 km2) was 12% higher than the reference and showed a small difference in relation to the MapBiomas Fogo product (18% more BA). These differences can be explained by the different datasets and methods used to detect burned areas. The adoption of global products in regional studies can be critical in underestimating the total area burned in sensitive regions. Our study highlights the need to develop approaches aimed at improving the accuracy of current global products, and the development of regional burned area products may be more suitable for this purpose. Our proposed approach based on WFI data cubes has shown high potential for generating more accurate regional burned area maps, which can refine BA estimates in the Amazon.
ÁreaSRE
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4. Condições de acesso e uso
Idiomaen
Arquivo Alvofire-07-00067-v2.pdf
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Grupo de Leitoresadministrator
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Visibilidadeshown
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Repositório Espelhourlib.net/www/2021/06.04.03.40.25
Unidades Imediatamente Superiores8JMKD3MGPCW/3F3NU5S
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Lista de Itens Citandosid.inpe.br/bibdigital/2022/04.03.22.23 1
DivulgaçãoPORTALCAPES
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
6. Notas
Campos Vaziosalternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn label lineage mark nextedition notes parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey secondarymark session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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