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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/44UN888
Repositóriosid.inpe.br/mtc-m21d/2021/06.29.18.01
Última Atualização2021:06.29.18.01.01 (UTC) simone
Repositório de Metadadossid.inpe.br/mtc-m21d/2021/06.29.18.01.01
Última Atualização dos Metadados2022:04.03.22.27.24 (UTC) administrator
DOI10.3390/rs13122238
ISSN2072-4292
Chave de CitaçãoZhangHagaSilvLiu:2021:FoCaCh
TítuloForest canopy changes in the southern amazon during the 2019 fire season based on passive microwave and optical satellite observations
Ano2021
MêsJune
Data de Acesso20 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho3563 KiB
2. Contextualização
Autor1 Zhang, Huixiang
2 Hagan, Daniel Fiifi Tawia
3 Silva, Ricardo Dal'Agnol da
4 Liu, Yi
ORCID1
2 0000-0003-3501-9783
3 0000-0002-7151-8697
4 0000-0001-9059-8269
Grupo1
2
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
Afiliação1 Nanjing University of Information Science and Technology
2 Nanjing University of Information Science and Technology
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Nanjing University of Information Science and Technology
Endereço de e-Mail do Autor1 h.x.zhang@nuist.edu.cn
2 dans7messiah@nuist.edu.cn
3 ricds@hotmail.com
4 yi.liu@nuist.edu.cn
RevistaRemote Sensing
Volume13
Número12
Páginase2238
Nota SecundáriaB3_GEOGRAFIA B3_ENGENHARIAS_I B4_GEOCIÊNCIAS B4_CIÊNCIAS_AMBIENTAIS B5_CIÊNCIAS_AGRÁRIAS_I
Histórico (UTC)2021-06-29 18:01:01 :: simone -> administrator ::
2021-06-29 18:01:02 :: administrator -> simone :: 2021
2021-06-29 18:03:22 :: simone -> administrator :: 2021
2022-04-03 22:27:24 :: administrator -> simone :: 2021
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-ChaveCanopy changes
Fire
Optical indices
The Amazon
Vegetation optical depth
ResumoCanopy dynamics associated with fires in tropical forests play a critical role in the terrestrial carbon cycle and climate feedbacks. The aim of this study was to characterize forest canopy dynamics in the southern Amazon during the 2019 fire season (JulyOctober) using passive microwave-based vegetation optical depth (VOD) and three optical-based indices. First, we found that precipitation during JulyOctober 2019 was close to the climatic means, suggesting that there were no extreme hydrometeorological events in 2019 and that fire was the dominant factor causing forest canopy anomalies. Second, based on the active fire product (MCD14ML), the total number of active fires over each grid cell was calculated for each month. The number of active fires during the fire season in 2019 was above average, particularly in August and September. Third, we compared the anomalies of VOD and optical-based indices (the normalized difference vegetation index (NDVI), the enhanced vegetation index (EVI), and the normalized burn ratio (NBR)) against the spatiotemporal distribution of fires during JulyOctober 2019. Spatially, the location with a concentrated distribution of significant negative VOD anomalies was matched with the grid cells with fire activities, whereas the concentrated distribution of strong negative anomalies in optical-based indices were found in both burned and unburned grid cells. When we focused on the temporal pattern over the grid cells with fire activity, the VOD and the optical-based indices behaved similarly from July to October 2019, i.e., the magnitude of negative anomalies became stronger with increased fire occurrences and reached the peak of negative anomalies in September before decreasing in October. A discrepancy was observed in the magnitude of negative anomalies of the optical-based indices and the VOD; the magnitude of optical-based indices was larger than the VOD in AugustSeptember and recovered much faster than the VOD over the grid cells with relatively low fire activity in October. The most likely reason for their different responses is that the VOD represents the dynamics of both photosynthetic (leaf) and nonphotosynthetic (branches) biomass, whereas optical-based indices are only sensitive to photosynthetic (leaf) active biomass, which recovers faster. Our results demonstrate that VOD can detect the spatiotemporal of canopy dynamics caused by fire and postfire canopy biomass recovery over high-biomass rainforest, which enables more comprehensive assessments, together with classic optical remote sensing approaches.
ÁreaSRE
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4. Condições de acesso e uso
URL dos dadoshttp://mtc-m21d.sid.inpe.br/ibi/8JMKD3MGP3W34T/44UN888
URL dos dados zipadoshttp://mtc-m21d.sid.inpe.br/zip/8JMKD3MGP3W34T/44UN888
Idiomaen
Arquivo Alvozhang_forest.pdf
Grupo de Usuáriossimone
Grupo de Leitoresadministrator
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Visibilidadeshown
Política de Arquivamentoallowpublisher allowfinaldraft
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/46KUATE
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX; SCOPUS.
Acervo Hospedeirourlib.net/www/2021/06.04.03.40
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 readpermission resumeid rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
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