|
|
Registros recuperados : 63 | |
16. | | AMADO, T. J. C; RICE, C. W.; NICOLOSO, R. da S.; FIORIN, J. E.; KASSAM, A. Lessons learned from two long-term Conservation Agriculture experiments in Brazil and USA regarding soil functionality. In: WORLD CONGRESS ON CONSERVATION AGRICULTURE, 8., 2021, Bern, Switzerland. The Future of farming: profitable and sustainable farming with conservation agriculture: online proceedings. Brussels: ECAF, 2021. p. 53 Biblioteca(s): Embrapa Suínos e Aves. |
| |
19. | | AMADO, T. J. C.; FERNANDES, S. V.; BAYER, C.; MIELNICZUK, J. Dinâmica do nitrogênio em sistemas de preparo do solo e de cultura. IN: CONGRESSO BRASILEIRO DE CIÊNÇIA DO SOLO, 25., 1995, Viçosa, MG. Resumos expandidos. Viçosa: UFV, 1995. v.4, p. 1904-1906. Biblioteca(s): Embrapa Tabuleiros Costeiros. |
| |
20. | | BAYER, C.; MARTIN-NETO, L.; MIELNICZUK, J.; DIECKOW, J.; AMADO, T. J. C. C and N stocks and the role of molecular recalcitrance and organomineral interaction in stabilizing soil organic matter in a subtropical acrisol managed under no-tillage. Geoderma, Amsterdam, v. 133, n. 3-4, p. 258-2668, 2006. Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 63 | |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/01/2013 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
COLTRI, P. P.; ZULLO JÚNIOR, J.; GONÇALVES, R. R. V.; ROMANI, L. A. S.; PINTO, H. S. |
Afiliação: |
Cepagri/Unicamp; Cepagri/Unicamp; Cepagri/Unicamp; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; Cepagri/Unicamp. |
Título: |
Carbon stock estimation in coffee crops using high resolution satellites. |
Ano de publicação: |
2012 |
Fonte/Imprenta: |
In: INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2012, Munich. Remote sensing for a dynamic earth: Proceedings. [S.l]: IEEE, 2012. |
Páginas: |
p. 6657-6660. |
Idioma: |
Inglês |
Notas: |
IGARSS 2012. |
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. |
Thesagro: |
Biomassa; Café; Coffea Arábica; Sensoriamento Remoto. |
Thesaurus NAL: |
Biomass; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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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