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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/08/2009 |
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Data da última atualização: |
15/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso / Nota Técnica |
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Autoria: |
NASCIMENTO, C. R.; GONÇALVES, R. R. V.; ZULLO JÚNIOR, J.; ROMANI, L. A. S. |
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Afiliação: |
C. R. NASCIMENTO, FEAGRI/UNICAMP; R. R. V. GONÇALVES, FEAGRI/UNICAMP; J. ZULLO JÚNIOR, CEPAGRI/UNICAMP; LUCIANA ALVIM SANTOS ROMANI, CNPTIA. |
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Título: |
Estimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model. |
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Ano de publicação: |
2009 |
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Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. |
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Páginas: |
p. 365-372. |
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Idioma: |
Inglês |
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Notas: |
MultiTemp 2009. |
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Conteúdo: |
Despite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of NDVI values. The tests were performed for three crop seasons (2003/2004, 2004/2005 e 2005/2006) and four cities located in the State of Sao Paulo (Jaboticabal, Pitangueiras, Ribeirao Preto and Sertaozinho) that is the main producer of sugar cane in Brazil. Reference values for productivity were provided by the IBGE (National Institute of Geography and Statistics). The methodology can be used to support operational systems of crop monitoring and forecasting since the estimation errors were less than 5% and the anticipation was from 110 to 150 days before harvest. |
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Palavras-Chave: |
Georreferenciamento; Image processing; Imagens AVHRR/NOAA-17; Phenology-spectral model; Processamento de imagens NDVI; Séries temporais de valores NDVI; Sistema NAVPro. |
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Thesagro: |
Agricultura; Cana de açúcar; Sensoriamento remoto. |
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Thesaurus Nal: |
Remote sensing; Sugarcane; Time series analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 02051nam a2200325 a 4500
001 1256613
005 2020-01-15
008 2009 bl uuuu u00u1 u #d
100 1 $aNASCIMENTO, C. R.
245 $aEstimation of sugar cane productivity using a time series of AVHRR/NOAA-17 images and a phenology-spectral model.$h[electronic resource]
260 $aIn: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn$c2009
300 $ap. 365-372.
500 $aMultiTemp 2009.
520 $aDespite the economic and social importance of agribusiness in Brazil, the accurate estimation of the production of its main agricultural crops, such as sugar cane, is still a big challenge to the Country. Thus this work has the objective to assess a methodology based on the use of a phenology-spectral model proposed by Pellegrino (2001) and a time series of NDVI values. The tests were performed for three crop seasons (2003/2004, 2004/2005 e 2005/2006) and four cities located in the State of Sao Paulo (Jaboticabal, Pitangueiras, Ribeirao Preto and Sertaozinho) that is the main producer of sugar cane in Brazil. Reference values for productivity were provided by the IBGE (National Institute of Geography and Statistics). The methodology can be used to support operational systems of crop monitoring and forecasting since the estimation errors were less than 5% and the anticipation was from 110 to 150 days before harvest.
650 $aRemote sensing
650 $aSugarcane
650 $aTime series analysis
650 $aAgricultura
650 $aCana de açúcar
650 $aSensoriamento remoto
653 $aGeorreferenciamento
653 $aImage processing
653 $aImagens AVHRR/NOAA-17
653 $aPhenology-spectral model
653 $aProcessamento de imagens NDVI
653 $aSéries temporais de valores NDVI
653 $aSistema NAVPro
700 1 $aGONÇALVES, R. R. V.
700 1 $aZULLO JÚNIOR, J.
700 1 $aROMANI, L. A. S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Agropecuária Oeste. |
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Data corrente: |
05/01/2015 |
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Data da última atualização: |
05/01/2015 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
CUNHA, V. C. da; SANTOS, J. B. dos; GUIMARÃES, C. G.; RIBEIRO, K. G.; MIRANDA, R. R. S. de; SILVA, D. V.; CONCENCO, G. |
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Afiliação: |
VIVIANE CRISTINA DA CUNHA, UFVJM; JOSÉ BARBOSA DOS SANTOS, UFVJM; CINTIA GONÇALVES GUIMARÃES, UFVJM; KARINA GUIMARÃES RIBEIRO, UFVJM; ROQUELINE RODRIGUES SILVA DE MIRANDA, UFVJM; DANIEL VALADÃO SILVA, UFVJM; GERMANI CONCENCO, CPAO. |
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Título: |
Leaf area and epicuticular wax content of Sida spp. |
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Ano de publicação: |
2014 |
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Fonte/Imprenta: |
Revista Ceres, Viçosa, v. 61, n. 2, p. 172-177, mar./abr., 2014 |
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Idioma: |
Português |
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Palavras-Chave: |
Plantas daninha; Sida rhombifolia L; Sida spinosa L; Sida urens L; Weed. |
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Categoria do assunto: |
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/114720/1/germani-ceres.pdf
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Marc: |
LEADER 00666naa a2200241 a 4500
001 2004160
005 2015-01-05
008 2014 bl uuuu u00u1 u #d
100 1 $aCUNHA, V. C. da
245 $aLeaf area and epicuticular wax content of Sida spp.
260 $c2014
653 $aPlantas daninha
653 $aSida rhombifolia L
653 $aSida spinosa L
653 $aSida urens L
653 $aWeed
700 1 $aSANTOS, J. B. dos
700 1 $aGUIMARÃES, C. G.
700 1 $aRIBEIRO, K. G.
700 1 $aMIRANDA, R. R. S. de
700 1 $aSILVA, D. V.
700 1 $aCONCENCO, G.
773 $tRevista Ceres, Viçosa$gv. 61, n. 2, p. 172-177, mar./abr., 2014
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Embrapa Agropecuária Oeste (CPAO) |
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