1. Identificação | |
Tipo de Referência | Artigo em Revista Científica (Journal Article) |
Site | mtc-m21c.sid.inpe.br |
Código do Detentor | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identificador | 8JMKD3MGP3W34R/43LSLHL |
Repositório | sid.inpe.br/mtc-m21c/2020/11.27.11.36 |
Última Atualização | 2020:11.27.11.36.37 (UTC) simone |
Repositório de Metadados | sid.inpe.br/mtc-m21c/2020/11.27.11.36.37 |
Última Atualização dos Metadados | 2022:01.04.01.35.39 (UTC) administrator |
DOI | 10.3390/rs12223827 |
ISSN | 2072-4292 |
Chave de Citação | ShimabukuroDuArDuCaPeCa:2020:MaBuAr |
Título | Mapping burned areas of mato grosso state brazilian amazon using multisensor datasets |
Ano | 2020 |
Mês | Nov. |
Data de Acesso | 12 maio 2024 |
Tipo de Trabalho | journal article |
Tipo Secundário | PRE PI |
Número de Arquivos | 1 |
Tamanho | 8854 KiB |
|
2. Contextualização | |
Autor | 1 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 Curriculo | 1 8JMKD3MGP5W/3C9JJCQ 2 3 8JMKD3MGP5W/3C9JGUP 4 8JMKD3MGP5W/3C9JJAU |
ORCID | 1 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 |
Grupo | 1 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 |
Afiliação | 1 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 Autor | 1 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 |
Revista | Remote Sensing |
Volume | 12 |
Número | 22 |
Páginas | 1-23 |
Nota Secundária | B3_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 Conteúdo | concluido |
Transferível | 1 |
Tipo do Conteúdo | External Contribution |
Tipo de Versão | publisher |
Palavras-Chave | burned areas detection shade fraction image linear spectral mixing model VIIRS PROBA-V Landsat-8 OLI |
Resumo | Quantifying 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. |
Área | SRE |
Arranjo 1 | urlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Mapping burned areas... |
Arranjo 2 | urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mapping burned areas... |
Conteúdo da Pasta doc | acessar |
Conteúdo da Pasta source | não têm arquivos |
Conteúdo da Pasta agreement | |
|
4. Condições de acesso e uso | |
URL dos dados | http://urlib.net/ibi/8JMKD3MGP3W34R/43LSLHL |
URL dos dados zipados | http://urlib.net/zip/8JMKD3MGP3W34R/43LSLHL |
Idioma | en |
Arquivo Alvo | remotesensing-12-03827-v2.pdf |
Grupo de Usuários | simone |
Grupo de Leitores | administrator simone |
Visibilidade | shown |
Política de Arquivamento | allowpublisher allowfinaldraft |
Permissão de Leitura | allow from all |
Permissão de Atualização | não transferida |
|
5. Fontes relacionadas | |
Unidades Imediatamente Superiores | 8JMKD3MGPCW/3ER446E 8JMKD3MGPCW/3F3NU5S |
Lista de Itens Citando | sid.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 |
Divulgação | WEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS. |
Acervo Hospedeiro | urlib.net/www/2017/11.22.19.04 |
|
6. Notas | |
Campos Vazios | alternatejournal 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 | |
e-Mail (login) | simone |
atualizar | |
|