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1. Identificação
Tipo de ReferênciaArtigo em Revista Científica (Journal Article)
Siteplutao.sid.inpe.br
Código do Detentorisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identificador8JMKD3MGP3W/3RAQSKP
Repositóriosid.inpe.br/plutao/2018/06.19.04.38   (acesso restrito)
Última Atualização2018:06.20.15.48.48 (UTC) lattes
Repositório de Metadadossid.inpe.br/plutao/2018/06.19.04.38.27
Última Atualização dos Metadados2019:01.14.17.09.18 (UTC) administrator
DOI10.1016/j.jag.2018.02.010
ISSN0303-2434
Rótulolattes: 7484071887086439 1 AdamiBAFSERA:2018:SeVeTy
Chave de CitaçãoAdamiBAFSERA:2018:SeVeTy
TítuloSeasonality of vegetation types of South America depicted by moderate resolution imaging spectroradiometer (MODIS) time series
Ano2018
Data de Acesso25 abr. 2024
Tipo de Trabalhojournal article
Tipo SecundárioPRE PI
Número de Arquivos1
Tamanho6161 KiB
2. Contextualização
Autor1 Adami, Marcos
2 Bernardes, Sérgio
3 Arai, Egidio
4 Freitas, Ramon M.
5 Shimabukuro, Yosio Edemir
6 Espírito-Santo, Fernando D. B.
7 Rudorff, Bernardo F. T.
8 Anderson, Liana O.
Identificador de Curriculo1
2
3 8JMKD3MGP5W/3C9JGUP
4
5 8JMKD3MGP5W/3C9JJCQ
Grupo1 CRCRA-COCRE-INPE-MCTIC-GOV-BR
2
3 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
4
5 DIDSR-CGOBT-INPE-MCTIC-GOV-BR
Afiliação1 Instituto Nacional de Pesquisas Espaciais (INPE)
2 University of Georgia Athen
3 Instituto Nacional de Pesquisas Espaciais (INPE)
4 Aerial Photography & Imaging Science
5 Instituto Nacional de Pesquisas Espaciais (INPE)
6 Lancaster Environment Centre (LEC)
7 Agrosatélite Geotecnologia Aplicada Ltda
8 Centro Nacional de Monitoramento e Alertas de Desastres Naturais (CEMADEN)
Endereço de e-Mail do Autor1 marcos.adami@inpe.br
2
3 egidio.arai@inpe.br
4
5 yosio.shimabukuro@inpe.br
RevistaInternational Journal of Applied Earth Observation and Geoinformation
Volume69
Páginas148-163
Nota SecundáriaB1_GEOCIÊNCIAS
Histórico (UTC)2018-06-19 04:38:27 :: lattes -> administrator ::
2018-06-19 11:34:31 :: administrator -> lattes :: 2018
2018-06-19 12:45:54 :: lattes -> administrator :: 2018
2018-06-20 15:45:57 :: administrator -> lattes :: 2018
2018-06-20 15:48:49 :: lattes -> administrator :: 2018
2019-01-14 17:09:18 :: administrator -> simone :: 2018
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-ChaveVegetation dynamics
Land cover
Disturbance
Phenology
MODISSpectral mixing model
Principal component analysis
Time series
ResumoThe development, implementation and enforcement of policies involving the rational use of the land and the conservation of natural resources depend on an adequate characterization and understanding of the land cover, including its dynamics. This paper presents an approach for monitoring vegetation dynamics using high-quality time series of MODIS surface reflectance data by generating fraction images using Linear Spectral Mixing Model (LSMM) over South America continent. The approach uses physically-based fraction images, which highlight target information and reduce data dimensionality. Further dimensionality was also reduced by using the vegetation fraction images as input to a Principal Component Analysis (PCA). The RGB composite of the first three PCA components, accounting for 92.9% of the dataset variability, showed good agreement with the main ecological regions of South America continent. The analysis of 21 temporal profiles of vegetation fraction values and precipitation data over South America showed the ability of vegetation fractions to represent phenological cycles over a variety of environments. Comparisons between vegetation fractions and precipitation data indicated the close relationship between water availability and leaf mass/chlorophyll content for several vegetation types. In addition, phenological changes and disturbance resulting from anthropogenic pressure were identified, particularly those associated with agricultural practices and forest removal. Therefore the proposed method supports the management of natural and non-natural ecosystems, and can contribute to the understanding of key conservation issues in South America, including deforestation, disturbance and fire occurrence and management.
ÁreaSRE
Arranjourlib.net > BDMCI > Fonds > Produção anterior à 2021 > CRCRA > Seasonality of vegetation...
Conteúdo da Pasta docacessar
Conteúdo da Pasta sourcenão têm arquivos
Conteúdo da Pasta agreementnão têm arquivos
4. Condições de acesso e uso
Idiomaen
Arquivo Alvoadami_seasonality.pdf
Grupo de Leitoresadministrator
lattes
Visibilidadeshown
Política de Arquivamentodenypublisher denyfinaldraft24
Permissão de Leituradeny from all and allow from 150.163
Permissão de Atualizaçãonão transferida
5. Fontes relacionadas
Unidades Imediatamente Superiores8JMKD3MGPCW/3ER446E
8JMKD3MGPCW/3EUAE4H
Lista de Itens Citandosid.inpe.br/bibdigital/2013/10.03.18.52 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; SCOPUS.
Acervo Hospedeirodpi.inpe.br/plutao@80/2008/08.19.15.01
6. Notas
Campos Vaziosalternatejournal archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn lineage mark mirrorrepository month nextedition notes number orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url usergroup
7. Controle da descrição
e-Mail (login)simone
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