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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m21c.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W34R/43LSLHL
Repositóriosid.inpe.br/mtc-m21c/2020/11.27.11.36
Última Atualização2020:11.27.11.36.37 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21c/2020/11.27.11.36.37
Última Atualização dos Metadados2022:01.04.01.35.39 (UTC) administrator
DOI10.3390/rs12223827
ISSN2072-4292
Chave de CitaçãoShimabukuroDuArDuCaPeCa:2020:MaBuAr
TítuloMapping burned areas of mato grosso state brazilian amazon using multisensor datasets
Ano2020
MêsNov.
Data de Acesso12 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho8854 KiB
2. Contextualização
Autor1 Shimabukuro, Yosio Edemir
2 Dutra, Andeise Cerqueira
3 Arai, Egídio
4 Duarte, Valdete
5 Cassol, Henrique Luis Godinho
6 Pereira, Gabriel
7 Cardozo, Francielle da Silva
Identificador de Curriculo1 8JMKD3MGP5W/3C9JJCQ
2
3 8JMKD3MGP5W/3C9JGUP
4 8JMKD3MGP5W/3C9JJAU
ORCID1 0000-0002-1469-8433
2 0000-0002-4454-7732
3
4
5 0000-0001-6728-4712
6 0000-0002-2093-9942
7 0000-0002-4775-4649
Grupo1 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
2 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
5 SER-SRE-SESPG-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 Instituto Nacional de Pesquisas Espaciais (INPE)
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Instituto Nacional de Pesquisas Espaciais (INPE)
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Universidade Federal de São João del-Rei (UFSJ)
7 Universidade Federal de São João del-Rei (UFSJ)
Endereço de e-Mail do Autor1 yosio@dsr.inpe.br
2 andeise.dutra@inpe.br
3 egidio@dsr.inpe.br
4 valdete.duarte@inpe.br
5 henrique@dsr.inpe.br
6 pereira@ufsj.edu.br
7 franciellecardozo@ufsj.edu.br
RevistaRemote Sensing
Volume12
Número22
Páginas1-23
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2020-11-27 11:36:37 :: simone -> administrator ::
2020-11-29 14:30:11 :: administrator -> simone :: 2020
2020-12-14 14:12:46 :: simone -> administrator :: 2020
2022-01-04 01:35:39 :: administrator -> simone :: 2020
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-Chaveburned areas detection
shade fraction image
linear spectral mixing model
VIIRS
PROBA-V
Landsat-8 OLI
ResumoQuantifying forest fires remain a challenging task for the implementation of public policies aimed to mitigate climate change. In this paper, we propose a new method to provide an annual burned area map of Mato Grosso State located in the Brazilian Amazon region, taking advantage of the high spatial and temporal resolution sensors. The method consists of generating the vegetation, soil, and shade fraction images by applying the Linear Spectral Mixing Model (LSMM) to the Landsat-8 OLI (Operational Land Imager), PROBA-V (Project for On-Board AutonomyVegetation), and Suomi NPP-VIIRS (National Polar-Orbiting Partnership-Visible Infrared Imaging Radiometer Suite) datasets. The shade fraction images highlight the burned areas, in which values are represented by low reflectance of ground targets, and the mapping was performed using an unsupervised classifier. Burned areas were evaluated in terms of land use and land cover classes over the Amazon, Cerrado and Pantanal biomes in the Mato Grosso State. Our results showed that most of the burned areas occurred in non-forested areas (66.57%) and old deforestation (21.54%). However, burned areas over forestlands (11.03%), causing forest degradation, reached more than double compared with burned areas identified in consolidated croplands (5.32%). The results obtained were validated using the Sentinel-2 data and compared with active fire data and existing global burned areas products, such as the MODIS (Moderate Resolution Imaging Spectroradiometer product) MCD64A1 and MCD45A1, and Fire CCI (ESA Climate Change Initiative) products. Although there is a good visual agreement among the analyzed products, the areas estimated were quite different. Our results presented correlation of 51% with Sentinel-2 and agreement of r2 = 0.31, r2 = 0.29, and r2 = 0.43 with MCD64A1, MCD45A1, and Fire CCI products, respectively. However, considering the active fire data, it was achieved the better performance between active fire presence and burn mapping (92%). The proposed method provided a general perspective about the patterns of fire in various biomes of Mato Grosso State, Brazil, that are important for the environmental studies, specially related to fire severity, regeneration, and greenhouse gas emissions.
ÁreaSRE
Arranjo 1urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping burned areas...
Arranjo 2urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping burned areas...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreement
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4. Condições de acesso e uso
URL dos dadoshttp://urlib.net/ibi/8JMKD3MGP3W34R/43LSLHL
URL dos dados zipadoshttp://urlib.net/zip/8JMKD3MGP3W34R/43LSLHL
Idiomaen
Arquivo Alvoremotesensing-12-03827-v2.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
simone
Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Leituraallow from all
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3F3NU5S
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.18.22.34 1
sid.inpe.br/bibdigital/2013/09.13.21.11 1
sid.inpe.br/mtc-m21/2012/07.13.14.45.03 1
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2017/11.22.19.04
6. Notas
Campos Vaziosalternatejournal 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 session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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