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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
20/07/2011 |
Data da última atualização: |
13/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
ESQUERDO, J. C. D. M.; ZULLO JÚNIOR, J.; ANTUNES, J. F. G. |
Afiliação: |
JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; JURANDIR ZULLO JÚNIOR, UNICAMP; JOÃO FRANCISCO GONCALVES ANTUNES, CNPTIA. |
Título: |
Use of NDVI/AVHRR time-series profiles for soybean crop monitoring in Brazil. |
Ano de publicação: |
2011 |
Fonte/Imprenta: |
International journal of remote sensing, Basingstoke, v. 32, n. 13, p. 3711-3727, July 2011. |
DOI: |
10.1080/01431161003764112 |
Idioma: |
Inglês |
Conteúdo: |
In Brazil there is a need for less subjective, more efficient and less expensive methodologies for crop yield forecast. Owing to the continental dimensions of the country, orbital images have been used to estimate the productive potential of crops. In this study, NDVI (Normalized Difference Vegetation Index) time-series, derived from AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) imagery were used for the soybean crop monitoring in a large production region in Brazil in the 2002/2003 and 2003/2004 cropping seasons. NDVI temporal profiles describing the biomass condition of crops throughout the phenological stages were generated in 18 municipalities. Quantitative parameters were measured from the temporal profiles, based on the full time or partial phenological cycle. Linear regressions between the quantitative parameters and the municipal average yields in both seasons have shown that the most significant correlations occurred when the full time period was considered. When considering periods prior to harvest, the correlations showed a tendency to decline. The NDVI monitoring during these two cropping seasons, which presented different weather conditions, could explain a major part of the soybean yield variability at the municipal level. Results showed the potential of the NDVI time-series analysis in generating parameters to be employed by agrometeorological-spectral models for soybean yield estimations. The automatic system for temporal profiles generation developed in this study sped up the analysis and can be used for further studies at a regional scale. MenosIn Brazil there is a need for less subjective, more efficient and less expensive methodologies for crop yield forecast. Owing to the continental dimensions of the country, orbital images have been used to estimate the productive potential of crops. In this study, NDVI (Normalized Difference Vegetation Index) time-series, derived from AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) imagery were used for the soybean crop monitoring in a large production region in Brazil in the 2002/2003 and 2003/2004 cropping seasons. NDVI temporal profiles describing the biomass condition of crops throughout the phenological stages were generated in 18 municipalities. Quantitative parameters were measured from the temporal profiles, based on the full time or partial phenological cycle. Linear regressions between the quantitative parameters and the municipal average yields in both seasons have shown that the most significant correlations occurred when the full time period was considered. When considering periods prior to harvest, the correlations showed a tendency to decline. The NDVI monitoring during these two cropping seasons, which presented different weather conditions, could explain a major part of the soybean yield variability at the municipal level. Results showed the potential of the NDVI time-series analysis in generating parameters to be employed by agrometeorological-spectral models for soybean yield estimations. The automatic s... Mostrar Tudo |
Palavras-Chave: |
Image processing; Imagens AVHRR; Monitoramento agrícola; Previsão de safras; Processamento de imagens; Séries temporais; Soybean. |
Thesagro: |
Soja. |
Thesaurus Nal: |
Crop management; Time series analysis. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02506naa a2200277 a 4500 001 1896368 005 2020-01-13 008 2011 bl uuuu u00u1 u #d 024 7 $a10.1080/01431161003764112$2DOI 100 1 $aESQUERDO, J. C. D. M. 245 $aUse of NDVI/AVHRR time-series profiles for soybean crop monitoring in Brazil.$h[electronic resource] 260 $c2011 520 $aIn Brazil there is a need for less subjective, more efficient and less expensive methodologies for crop yield forecast. Owing to the continental dimensions of the country, orbital images have been used to estimate the productive potential of crops. In this study, NDVI (Normalized Difference Vegetation Index) time-series, derived from AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration) imagery were used for the soybean crop monitoring in a large production region in Brazil in the 2002/2003 and 2003/2004 cropping seasons. NDVI temporal profiles describing the biomass condition of crops throughout the phenological stages were generated in 18 municipalities. Quantitative parameters were measured from the temporal profiles, based on the full time or partial phenological cycle. Linear regressions between the quantitative parameters and the municipal average yields in both seasons have shown that the most significant correlations occurred when the full time period was considered. When considering periods prior to harvest, the correlations showed a tendency to decline. The NDVI monitoring during these two cropping seasons, which presented different weather conditions, could explain a major part of the soybean yield variability at the municipal level. Results showed the potential of the NDVI time-series analysis in generating parameters to be employed by agrometeorological-spectral models for soybean yield estimations. The automatic system for temporal profiles generation developed in this study sped up the analysis and can be used for further studies at a regional scale. 650 $aCrop management 650 $aTime series analysis 650 $aSoja 653 $aImage processing 653 $aImagens AVHRR 653 $aMonitoramento agrícola 653 $aPrevisão de safras 653 $aProcessamento de imagens 653 $aSéries temporais 653 $aSoybean 700 1 $aZULLO JÚNIOR, J. 700 1 $aANTUNES, J. F. G. 773 $tInternational journal of remote sensing, Basingstoke$gv. 32, n. 13, p. 3711-3727, July 2011.
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Embrapa Agricultura Digital (CNPTIA) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Gado de Leite. Para informações adicionais entre em contato com cnpgl.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Gado de Leite. |
Data corrente: |
07/11/2017 |
Data da última atualização: |
07/11/2017 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
BARBOSA, S. N.; PEREIRA, H. P.; NASCIMENTO, R. I. da; SANTOS, K. S. dos; REIS, D. R. de L.; MACHADO, M. A.; SILVA, M. V. G. B.; PANETTO, J. C. do C.; MARTINS, M. F. |
Afiliação: |
Sane Neves Barbosa, CES/JF; Hyago Passe Pereira, UFJF; Rosana Isabel da Costa Nascimento, UFJF; Kevin Schefer dos Santos, CES/JF; DANIELE RIBEIRO DE LIMA REIS FAZA, CNPGL; MARCO ANTONIO MACHADO, CNPGL; MARCOS VINICIUS GUALBERTO B SILVA, CNPGL; JOAO CLAUDIO DO CARMO PANETTO, CNPGL; MARTA FONSECA MARTINS, CNPGL. |
Título: |
Identificação de portadores de alelos recessivos para três doenças hereditárias: CVM, BLAD e DUMPS em touros da Raça Girolando¹ |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 20. 2017, 4 p. Anais... Juiz de Fora/MG. Embrapa Gado de Leite. |
Idioma: |
Português |
Palavras-Chave: |
Doenças genéticas; PCR. |
Thesagro: |
Teste de Progênie. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
Marc: |
LEADER 00832naa a2200241 a 4500 001 2079070 005 2017-11-07 008 2017 bl uuuu u00u1 u #d 100 1 $aBARBOSA, S. N. 245 $aIdentificação de portadores de alelos recessivos para três doenças hereditárias$bCVM, BLAD e DUMPS em touros da Raça Girolando¹ 260 $c2017 650 $aTeste de Progênie 653 $aDoenças genéticas 653 $aPCR 700 1 $aPEREIRA, H. P. 700 1 $aNASCIMENTO, R. I. da 700 1 $aSANTOS, K. S. dos 700 1 $aREIS, D. R. de L. 700 1 $aMACHADO, M. A. 700 1 $aSILVA, M. V. G. B. 700 1 $aPANETTO, J. C. do C. 700 1 $aMARTINS, M. F. 773 $tIn: WORKSHOP DE INICIAÇÃO CIENTÍFICA DA EMBRAPA GADO DE LEITE, 20. 2017, 4 p. Anais... Juiz de Fora/MG. Embrapa Gado de Leite.
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