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| Registros recuperados : 73 | |
| 25. |  | HAMADA, E.; GHINI, R.; GONÇALVES, R. R. V.; PEREIRA, D. A. Avaliação do efeito de mudança climática sobre problemas fitossanitários: comparação de métodos de elaboração de mapas. In: CONGRESSO BRASILEIRO DE BIOMETEOROLOGIA, 4., 2006, Ribeirão Preto,SP. [Anais...]. Ribeirão Preto, SP: SBB, IZ, 2006. p. 1-5.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 26. | | GHINI, R.; HAMADA, E.; GONÇALVES, R. R. V.; GASPAROTTO, L.; PEREIRA, J. C. R. Análise de risco das mudanças climáticas globais sobre a sigatoka-negra da bananeira no Brasil. Fitopatologia Brasileira, Brasília, v.32, n.3, p.197-204, 2007.| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Meio Ambiente. |
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| 31. | | GHINI, R.; HAMADA, E.; GONÇALVES, R. R. V.; GASPAROTTO, L.; PEREIRA, J. C. R. Risk analysis of climate change on black sigatoka in banana in Brazil. In: Journal of Plant Pathology, Pisa, v.90, n.2, supl., p.S2.105, Aug. 2008. ICPP 2008 - 9. International Congress of Plant Pathology, 2008, Torino. Abstracts of invited and offered papers.| Biblioteca(s): Embrapa Amazônia Ocidental; Embrapa Meio Ambiente. |
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| 32. | | GHINI, R.; HAMADA, E.; PEDRO JÚNIOR, M. J.; MARENGO, J. A.; GONÇALVES, R. R. V. Risk analysis of climate change on coffee nematodes and leaf miner in Brazil. Pesquisa Agropecuária Brasileira, Brasília, v. 43, n. 2, p.187-194, fev. 2008.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Unidades Centrais. |
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| 34. | | GONÇALVES, R. R. V.; NASCIMENTO, C. R.; J. ZULLO JÚNIOR; ROMANI, L. A. S. Relationship between the spectral response of sugar cane, based on AVHRR/NOAA satellite images, and the climate condition, in the state of São Paulo (Brazil), from 2001 to 2008. In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. p. 315-322. MultiTemp 2009.| Biblioteca(s): Embrapa Agricultura Digital. |
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| 40. | | GONÇALVES, R. R. V.; ZULLO JÚNIOR, J.; ROMANI, L. A. S.; NASCIMENTO, C. R.; TRAINA, A. J. M. Analysis of NDVI time series using cross-correlation and forecasting methods for monitoring sugarcane fields in Brazil. International Journal of Remote Sensing, Basingstoke, v. 33, n. 15, p. 4653-4672, Aug. 2012.| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 73 | |
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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. |
Registro Completo
|
Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
10/08/2009 |
|
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. |
|
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. |
|
Ano de publicação: |
2009 |
|
Fonte/Imprenta: |
In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. |
|
Páginas: |
p. 365-372. |
|
Idioma: |
Inglês |
|
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 |
|
Marc: |
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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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