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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: |
09/11/2006 |
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Data da última atualização: |
17/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ESQUERDO, J. C. D. M.; ANTUNES, J. F. G.; BALDWIN, D. G.; EMERY, W. J.; ZULLO JÚNIOR, J. |
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Afiliação: |
JÚLIO CÉSAR DALLA MORA ESQUERDO, Cepagri/Unicamp; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA; University of Colorado; University of Colorado; Cepagri/Unicamp. |
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Título: |
An automatic system for AVHRR land surface product generation. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
International Journal of Remote Sensing, v. 27, n. 18, p. 3925-3942, 2006. |
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DOI: |
http://dx.doi.org/10.1080/01431160600763956 |
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Idioma: |
Inglês |
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Conteúdo: |
Making products from the Advanced Very High Resolution Radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites can be time consuming and an automated technique for image processing is required to generate long time series of AVHRR imagery. This paper aims to describe the development of a system for fully-automated AVHRR image processing, including radiometric calibration, precise geo-registration and generating land-surface products, such as vegetation indices, maximum value composites and cloud masks. Tests for crop monitoring purposes were carried out using High Resolution Picture Transmission (HRPT) images between October 2003 and April 2004. The region used to evaluate the system was the State of Paraná, one of the primary soybean producers in Brazil. Results have shown that for severely cloud-filtered images, the system was effective in generating geometrically precise image products, with geolocation errors less than a pixel. The developed system can be operated with no human intervention and can be used as an important tool for NOAA-AVHRR image users especially those who need to use long time series. |
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Palavras-Chave: |
NOAA-AVHRR; Processamento de imagens. |
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Thesaurus Nal: |
Image analysis. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01865naa a2200217 a 4500
001 1009191
005 2020-01-17
008 2006 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1080/01431160600763956$2DOI
100 1 $aESQUERDO, J. C. D. M.
245 $aAn automatic system for AVHRR land surface product generation.$h[electronic resource]
260 $c2006
520 $aMaking products from the Advanced Very High Resolution Radiometer (AVHRR) on board the National Oceanic and Atmospheric Administration (NOAA) polar-orbiting satellites can be time consuming and an automated technique for image processing is required to generate long time series of AVHRR imagery. This paper aims to describe the development of a system for fully-automated AVHRR image processing, including radiometric calibration, precise geo-registration and generating land-surface products, such as vegetation indices, maximum value composites and cloud masks. Tests for crop monitoring purposes were carried out using High Resolution Picture Transmission (HRPT) images between October 2003 and April 2004. The region used to evaluate the system was the State of Paraná, one of the primary soybean producers in Brazil. Results have shown that for severely cloud-filtered images, the system was effective in generating geometrically precise image products, with geolocation errors less than a pixel. The developed system can be operated with no human intervention and can be used as an important tool for NOAA-AVHRR image users especially those who need to use long time series.
650 $aImage analysis
653 $aNOAA-AVHRR
653 $aProcessamento de imagens
700 1 $aANTUNES, J. F. G.
700 1 $aBALDWIN, D. G.
700 1 $aEMERY, W. J.
700 1 $aZULLO JÚNIOR, J.
773 $tInternational Journal of Remote Sensing$gv. 27, n. 18, p. 3925-3942, 2006.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Mandioca e Fruticultura. |
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Data corrente: |
05/12/2019 |
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Data da última atualização: |
16/01/2020 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
GAMA, H. C.; PASSOS, O. S.; BARBOSA, C. de J. |
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Afiliação: |
Henrique Castro Gama, Universidade Federal da Bahia; ORLANDO SAMPAIO PASSOS, CNPMF; CRISTIANE DE JESUS BARBOSA, CNPMF. |
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Título: |
Indexação de acessos do Banco Ativo de Germoplasma de Citros da Embrapa para bactérias sistêmicas. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
In : JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 12., 2018. Ciência profissional : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura, 2019. |
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Páginas: |
1 p. |
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Idioma: |
Português |
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Thesagro: |
Doença de Planta. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/206317/1/Indexacao-de-acessos-do-Banco-Ativo-de-Germoplasma-de-Citros-da-Embrapa-para.pdf
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Marc: |
LEADER 00587nam a2200145 a 4500
001 2116109
005 2020-01-16
008 2018 bl uuuu u00u1 u #d
100 1 $aGAMA, H. C.
245 $aIndexação de acessos do Banco Ativo de Germoplasma de Citros da Embrapa para bactérias sistêmicas.$h[electronic resource]
260 $aIn : JORNADA CIENTÍFICA EMBRAPA MANDIOCA E FRUTICULTURA, 12., 2018. Ciência profissional : resumos. Cruz das Almas, BA: Embrapa Mandioca e Fruticultura$c2019
300 $a1 p.
650 $aDoença de Planta
700 1 $aPASSOS, O. S.
700 1 $aBARBOSA, C. de J.
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Embrapa Mandioca e Fruticultura (CNPMF) |
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