Fechar

1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
IdentificadorJ8LNKAN8RW/39RSDMH
Repositóriodpi.inpe.br/plutao/2011/06.11.14.22   (acesso restrito)
Última Atualização2011:12.16.16.47.41 (UTC) marciana
Repositório de Metadadosdpi.inpe.br/plutao/2011/06.11.14.22.07
Última Atualização dos Metadados2018:06.05.00.01.21 (UTC) administrator
Chave SecundáriaINPE--PRE/
DOI10.1080/01431160903474921
ISSN0143-1161
Rótulolattes: 1913003589198061 3 AndersonAraShiAlmHue:2011:FrImMo
Chave de CitaçãoAndersonAraShiAlmHue:2011:FrImMo
TítuloFraction images for monitoring intra-annual phenology of different vegetation physiognomies in Amazonia
Projeto(CAPES)[BEX4018052]; BECA/IEB[BECA-B/2006/01/BDE/04]
Ano2011
MêsJan.
Data de Acesso11 maio 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6514 KiB
2. Contextualização
Autor1 Anderson, Liana O.
2 Aragão, Luiz O C
3 Shimabukuro, Yosio Edemir
4 Almeida, Samuel
5 Huete, Alfredo
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JJCQ
Grupo1
2
3 DSR-OBT-INPE-MCT-BR
Afiliação1 Univ Oxford, Sch Geog & Environm, Oxford OX1 3QY, England
2 Univ Exeter, Sch Geog, Exeter EX4 4RJ, Devon, England
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Museu Paraense Emilio Goeldi, Belem, Para, Brazil
5 Univ Arizona, Dept Soil Water & Environm Sci, Tucson, AZ USA
Endereço de e-Mail do Autor1 liana.anderson@ouce.ox.ac.uk
2
3 yosio@ltid.inpe.br
Endereço de e-Mailyosio@ltid.inpe.br
RevistaInternational Journal of Remote Sensing
Volume32
Número2
Páginas387-408
Nota SecundáriaB3_BIOTECNOLOGIA A1_CIÊNCIA_DA_COMPUTAÇÃO A2_CIÊNCIAS_AGRÁRIAS_I B2_CIÊNCIAS_BIOLÓGICAS_I B1_ECOLOGIA_E_MEIO_AMBIENTE B1_ENGENHARIAS_I B2_ENGENHARIAS_II B1_ENGENHARIAS_III A2_ENGENHARIAS_IV B1_GEOCIÊNCIAS A1_GEOGRAFIA A2_INTERDISCIPLINAR B1_ODONTOLOGIA A1_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA A2_SAÚDE_COLETIVA
Histórico (UTC)2011-06-11 17:43:48 :: lattes -> administrator :: 2011
2011-06-15 03:29:10 :: administrator -> marciana :: 2011
2011-12-16 16:48:12 :: marciana -> administrator :: 2011
2016-06-04 01:07:44 :: administrator -> marciana :: 2011
2016-08-19 13:13:44 :: marciana -> administrator :: 2011
2018-06-05 00:01:21 :: administrator -> marciana :: 2011
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-ChaveAmazonia
Cerrado
Enhanced vegetation index
Forest inventory
Forest inventory data
Fraction images
Intra-annual variability
Land-cover types
Linear spectral mixture model
Moderate resolution imaging spectroradiometer
Normalized difference vegetation index
Rainfall data
Seasonality
Soil fractions
Structural change
Tropical forest
Vegetation fractions
Vegetation index
Vegetation phenology
ResumoIn this study we investigate the potential of fraction images derived from a linear spectral mixture model to detect vegetation phenology in Amazonia, and evaluate their relationships with the Moderate Resolution Imaging Spectroradiometer (MODIS) vegetation indices. Time series of MODIS 250-m data over three contrasting land cover types in the Amazon were used in conjunction with rainfall data, a land cover map and a forest inventory survey to support the interpretation of our findings. Each vegetation physiognomy was characterized by a particular intra-annual variability detected by a combination of the fraction images. Both vegetation and shade fractions were important to evaluate the seasonality of the open tropical forest (OTF). The association of these results with forest inventory data and the literature suggests that Enhanced Vegetation Index (EVI) and vegetation fraction images are sensitive to structural changes in the canopy of OTF. In cerrado grassland (CG) the phenology was better characterized by combined soil and vegetation fractions. Soybean (SB) areas were characterized by the highest ranges in the vegetation and soil fraction images. Vegetation fraction and vegetation indices for the OTF showed a significant positive relationship with EVI but not with Normalized Difference Vegetation Index (NDVI). Significant relationships for vegetation fraction and vegetation indices were also found for the CG and soybean areas. In contrast to vegetation index approaches to monitoring phenology, fraction images provide additional information that allows a more comprehensive exploration of the spectral and structural changes in vegetation formations.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDSR > Fraction images for...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo AlvoLIANA FRACTION IMAGES.pdf
Grupo de Usuáriosadministrator
lattes
marciana
Grupo de Leitoresadministrator
marciana
Visibilidadeshown
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 Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
NotasArticle Number: PII 933109041
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel format isbn lineage mark mirrorrepository nextedition orcid parameterlist parentrepositories previousedition previouslowerunit progress rightsholder schedulinginformation secondarydate session shorttitle sponsor subject tertiarymark tertiarytype url
7. Controle da descrição
e-Mail (login)marciana
atualizar 


Fechar