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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: |
07/01/2013 |
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Data da última atualização: |
08/01/2020 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
COLTRI, P. P.; ZULLO JÚNIOR, J.; GONÇALVES, R. R. V.; ROMANI, L. A. S.; PINTO, H. S. |
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Afiliação: |
Cepagri/Unicamp; Cepagri/Unicamp; Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; Cepagri/Unicamp. |
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Título: |
Carbon stock estimation in coffee crops using high resolution satellites. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE, 2012. |
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Páginas: |
p. 6657-6660. |
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Idioma: |
Inglês |
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Notas: |
IGARSS 2012. |
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Conteúdo: |
ABSTRACT: According to IPCC, the increase of greenhouse gases emissions (GHG) in atmosphere is causing global warming, and this phenomenon could increase global temperature. In tropical areas of Brazil, the air temperature is supposed to increase from 1.1oC to 6.4oC causing large impacts in agricultures areas, including coffee production regions. The main objective of this paper was quantify the biomass of Arabica coffee trees above-ground (and carbon stock) using the vegetation index NDVI based on a high resolution image (Geoeye-1) and biophysical measures of coffee trees. In addition, the study aimed to establish an empirical relationship between biophysical measures of Arabica coffee trees, remote sensing data and dry biomass. The study was conducted in the south of Minas Gerais, which is the main producing region of Arabica coffee in Brazil. It was conclude that NDVI based on images of high spatial resolution, such as from Geoeye-1 satellite, has a strong correlation with dry biomass and carbon sink, showing that it is possible to estimate the carbon stock of coffee crops using remote sensing data without destructive methods. |
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Thesagro: |
Biomassa; Café; Coffea Arábica; Sensoriamento Remoto. |
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Thesaurus Nal: |
Biomass; Remote sensing. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01948nam a2200253 a 4500
001 1944209
005 2020-01-08
008 2012 bl uuuu u00u1 u #d
100 1 $aCOLTRI, P. P.
245 $aCarbon stock estimation in coffee crops using high resolution satellites.$h[electronic resource]
260 $aIn: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE$c2012
300 $ap. 6657-6660.
500 $aIGARSS 2012.
520 $aABSTRACT: According to IPCC, the increase of greenhouse gases emissions (GHG) in atmosphere is causing global warming, and this phenomenon could increase global temperature. In tropical areas of Brazil, the air temperature is supposed to increase from 1.1oC to 6.4oC causing large impacts in agricultures areas, including coffee production regions. The main objective of this paper was quantify the biomass of Arabica coffee trees above-ground (and carbon stock) using the vegetation index NDVI based on a high resolution image (Geoeye-1) and biophysical measures of coffee trees. In addition, the study aimed to establish an empirical relationship between biophysical measures of Arabica coffee trees, remote sensing data and dry biomass. The study was conducted in the south of Minas Gerais, which is the main producing region of Arabica coffee in Brazil. It was conclude that NDVI based on images of high spatial resolution, such as from Geoeye-1 satellite, has a strong correlation with dry biomass and carbon sink, showing that it is possible to estimate the carbon stock of coffee crops using remote sensing data without destructive methods.
650 $aBiomass
650 $aRemote sensing
650 $aBiomassa
650 $aCafé
650 $aCoffea Arábica
650 $aSensoriamento Remoto
700 1 $aZULLO JÚNIOR, J.
700 1 $aGONÇALVES, R. R. V.
700 1 $aROMANI, L. A. S.
700 1 $aPINTO, H. S.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| 9. |  | 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.| Tipo: Artigo em Anais de Congresso |
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| 10. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Nacional - A |
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| 16. | | 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.| Tipo: Resumo em Anais de Congresso |
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| 17. | | 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.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: Internacional - A |
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| 20. | | SANTOS, A. K. V. dos; GONÇALVES, R. R.; REIS, A.; CORREIA, K. C.; MICHEREFF, S. J. Diversidade cultural de isolados de Rhizoctonia solani do grupo de anastomose AG-1 IB associados com a queima-da-saia em alface no Brasil. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 51., 2019, Recife. Anais... Brasília, DF: Sociedade Brasileira de Fitopatologia, 2019. p. 503. Resumo.| Tipo: Resumo em Anais de Congresso |
| Biblioteca(s): Embrapa Hortaliças. |
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| Registros recuperados : 65 | |
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