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Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
19/12/2013 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
COLTRI, P. P.; ZULLO JÚNIOR, J.; GONÇALVES, R. R. do V.; ROMANI, L. A. S.; PINTO, H. S. |
Afiliação: |
PRISCILA PEREIRA COLTRI, Cepagri/Unicamp; JURANDIR ZULLO JÚNIOR, Cepagri/Unicamp; RENATA RIBEIRO DO VALLE GONÇALVES, Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; HILTON SILVEIRA PINTO, Cepagri/Unicamp. |
Título: |
Coffee crop's biomass and carbon stock estimation with usage of high resolution satellites images. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 6, n. 3, p. 1786-1795, June 2013. |
Idioma: |
Inglês |
Conteúdo: |
Abstract-Coffee is one of the most important crops in Brazil. Monitoring the crop is necessary to understand future production and a sound understanding of coffee´s biophysical properties improves such monitoring. Biophysical properties such as dry biomass can be estimated using remote sensing, including the new generation of high-resolution images (GeoEye-1, for instance). In this study we aim to investigate the relationship between vegetation indices (VI) of high-resolution images (GeoEye-1) and coffee biophysical properties, including dry biomass and carbon. The study also aims at establishing an empirical relationship between remote sensing data (vegetation indices), simple field measurements and dry biomass, allowing calculation of coffee biomass and carbon without resorting to destructive methods. Individual GeoEye-1 satellite's bands (NIR, RED and GREEN) showed significant correlation with biomass, but the best correlation occurred with vegetation index. There is a strong correlation between NDVI, RVI, GNDVI and dry biomass, allowing the estimation of coffee crops' carbon stock. RVI had correlation with plant area index (PAI). The empirical correlation was established and the forecast equation of coffee biomass was created. |
Palavras-Chave: |
Biophysical properties; Coffee arabica; Índice de vegetação; Propriedades biofísicas. |
Thesagro: |
Biomassa; Café. |
Thesaurus Nal: |
Biomass; vegetation index. |
Categoria do assunto: |
-- |
Marc: |
LEADER 02104naa a2200265 a 4500 001 1974355 005 2020-01-08 008 2013 bl uuuu u00u1 u #d 100 1 $aCOLTRI, P. P. 245 $aCoffee crop's biomass and carbon stock estimation with usage of high resolution satellites images.$h[electronic resource] 260 $c2013 520 $aAbstract-Coffee is one of the most important crops in Brazil. Monitoring the crop is necessary to understand future production and a sound understanding of coffee´s biophysical properties improves such monitoring. Biophysical properties such as dry biomass can be estimated using remote sensing, including the new generation of high-resolution images (GeoEye-1, for instance). In this study we aim to investigate the relationship between vegetation indices (VI) of high-resolution images (GeoEye-1) and coffee biophysical properties, including dry biomass and carbon. The study also aims at establishing an empirical relationship between remote sensing data (vegetation indices), simple field measurements and dry biomass, allowing calculation of coffee biomass and carbon without resorting to destructive methods. Individual GeoEye-1 satellite's bands (NIR, RED and GREEN) showed significant correlation with biomass, but the best correlation occurred with vegetation index. There is a strong correlation between NDVI, RVI, GNDVI and dry biomass, allowing the estimation of coffee crops' carbon stock. RVI had correlation with plant area index (PAI). The empirical correlation was established and the forecast equation of coffee biomass was created. 650 $aBiomass 650 $avegetation index 650 $aBiomassa 650 $aCafé 653 $aBiophysical properties 653 $aCoffee arabica 653 $aÍndice de vegetação 653 $aPropriedades biofísicas 700 1 $aZULLO JÚNIOR, J. 700 1 $aGONÇALVES, R. R. do V. 700 1 $aROMANI, L. A. S. 700 1 $aPINTO, H. S. 773 $tIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing$gv. 6, n. 3, p. 1786-1795, June 2013.
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Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Cerrados. |
Data corrente: |
28/01/2005 |
Data da última atualização: |
29/06/2017 |
Autoria: |
OLIVEIRA, C. M. de; LOPES, J. R. S.; CAMARGO, L. E. A.; FUNGARO, M. H. P.; NAULT, L. R. |
Título: |
Diversidade genética em populações de Daubulus maidis (DeLong & Wolcott) (Hemiptera: cicadellidae) do Brasil através de marcadores RAPD-PCR. |
Ano de publicação: |
2004 |
Fonte/Imprenta: |
Planaltina, DF: Embrapa Cerrados, 2004. |
Descrição Física: |
1 folder. |
Idioma: |
Português |
Palavras-Chave: |
Maize; Pests of plants; RAPD. |
Thesagro: |
Cigarrinha; Marcador Molecular; Milho; Praga de Planta; Variação Genética; Zea Mays. |
Thesaurus NAL: |
genetic markers; genetic variation. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/CPAC-2009/25344/1/p2004_50.pdf
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Marc: |
LEADER 00847nam a2200289 a 4500 001 1568343 005 2017-06-29 008 2004 bl uuuu u0uu1 u #d 100 1 $aOLIVEIRA, C. M. de 245 $aDiversidade genética em populações de Daubulus maidis (DeLong & Wolcott) (Hemiptera$bcicadellidae) do Brasil através de marcadores RAPD-PCR. 260 $aPlanaltina, DF: Embrapa Cerrados$c2004 300 $c1 folder. 650 $agenetic markers 650 $agenetic variation 650 $aCigarrinha 650 $aMarcador Molecular 650 $aMilho 650 $aPraga de Planta 650 $aVariação Genética 650 $aZea Mays 653 $aMaize 653 $aPests of plants 653 $aRAPD 700 1 $aLOPES, J. R. S. 700 1 $aCAMARGO, L. E. A. 700 1 $aFUNGARO, M. H. P. 700 1 $aNAULT, L. R.
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