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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Sitemtc-m12.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador6qtX3pFwXQZsFDuKxG/AKjRi
Repositóriosid.inpe.br/marciana/2004/01.12.16.17   (acesso restrito)
Última Atualização2015:09.02.13.47.06 (UTC) marciana
Repositório de Metadadossid.inpe.br/marciana/2004/01.12.16.17.56
Última Atualização dos Metadados2018:06.05.00.40.43 (UTC) administrator
Chave SecundáriaINPE-10569-PRE/6032
ISSN0143-1161
Chave de CitaçãoGurgelFerr:2003:AnInVa
TítuloAnnual and interannual variability of NDVI in Brazil and its connections with climate
Ano2003
Data de Acesso14 maio 2024
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho313 KiB
2. Contextualização
Autor1 Gurgel, Helen da C.
2 Ferreira, Nelson Jesus
Grupo1 DSR-INPE-MCT-BR
RevistaInternational Journal of Remote Sensing
Volume24
Número18
Páginas3595 - 3609
Histórico (UTC)2008-06-09 19:21:39 :: administrator -> banon ::
2008-11-05 15:16:21 :: banon -> marciana ::
2011-11-01 19:08:14 :: marciana -> administrator ::
2013-10-16 15:35:54 :: administrator -> marciana :: 2003
2015-09-02 13:47:06 :: marciana -> administrator :: 2003
2018-06-05 00:40:43 :: administrator -> marciana :: 2003
3. Conteúdo e estrutura
É a matriz ou uma cópia?é a matriz
Estágio do Conteúdoconcluido
Transferível1
Tipo do ConteúdoExternal Contribution
Palavras-ChaveStandardized principal components
outgoing longwave radiation
southern oscillation
AVHRR data
El-Nino
Rainfall
Africa
Cover
ResumoThis study deals with the connections between vegetation cover and the annual and interannual climatic variability in Brazil. The analyses were based on the normalized difference vegetation index (NDVI) derived from the Advanced Very High Resolution Radiometer (AVHRR) sensor for the Global Inventory Modeling and Monitoring Study (GIMMS) continental dataset and monthly mean outgoing longwave radiation (OLR) data. The statistical technique of principal component analysis (PCA) was used for analysing the data for the January 1982-December 1993 period. The first component reveals that NDVI data have potential for characterizing the main patterns of vegetation types in Brazil. It was also possible to characterize the annual and interannual climate-related variability of the vegetation types. Specifically, the second and third leading PCA are associated with the summer/winter and spring/autumn portions of the annual cycle while their interannual variations are modulated by El Niño Southern Oscillation (ENSO) phenomena. The fourth component showed that 'non-climatic' factors, such as slash burning events, do affect NDVI values mainly in central Brazil. The high correlation coefficients between NDVI and OLR eigenvectors, corresponding to the summer/winter (r=0.91) and spring/autumn (r=0.70) modes, suggest that the annual variability of the vegetation coverage in Brazilian territory is largely modulated by the prevailing climatic conditions.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Annual and interannual...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoINPE 10569.pdf
Grupo de Usuáriosadministrator
banon
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
Detentor da CópiaSID/SCD
Política de Arquivamentodenypublisher denyfinaldraft12
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
DivulgaçãoWEBSCI; PORTALCAPES; MGA; COMPENDEX.
Acervo Hospedeirosid.inpe.br/banon/2001/04.06.10.52
6. Notas
Campos Vaziosaffiliation alternatejournal archivist callnumber copyright creatorhistory descriptionlevel doi e-mailaddress electronicmailaddress format isbn label lineage mark mirrorrepository month nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project resumeid rightsholder schedulinginformation secondarydate secondarymark session shorttitle sponsor subject tertiarymark tertiarytype typeofwork url versiontype
7. Controle da descrição
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