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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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Registro Completo
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Biblioteca(s): |
Embrapa Suínos e Aves. |
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Data corrente: |
18/12/2018 |
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Data da última atualização: |
18/12/2018 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
KLEIN, C. H.; ZIMMER, L. E.; PEREIRA, M. L.; SILVA, L. C. da. |
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Afiliação: |
CLAUDETE HARA KLEIN, CNPSA; LORIEN ELIANE ZIMMER, CNPSA; MONALISA LEAL PEREIRA, CNPSA; LUCAS CARDOSO DA SILVA, CPAC. |
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Título: |
Relatório Técnico e de Atividades 2017 Embrapa Suínos e Aves |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Concórdia: Embrapa Suínos e Aves, 2018. |
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Páginas: |
140 p. |
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Série: |
(Embrapa Suínos e Aves. Documentos, 199). |
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ISSN: |
0101-6245 |
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Idioma: |
Português |
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Palavras-Chave: |
Comunicação organizacional; Embrapa Suínos e Aves; Relatório. |
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Thesagro: |
Projeto de Pesquisa; Transferência de Tecnologia. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/188818/1/final8938.pdf
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Marc: |
LEADER 00704nam a2200229 a 4500
001 2101975
005 2018-12-18
008 2018 bl uuuu 00u1 u #d
022 $a0101-6245
100 1 $aKLEIN, C. H.
245 $aRelatório Técnico e de Atividades 2017 Embrapa Suínos e Aves$h[electronic resource]
260 $aConcórdia: Embrapa Suínos e Aves$c2018
300 $a140 p.
490 $a(Embrapa Suínos e Aves. Documentos, 199).
650 $aProjeto de Pesquisa
650 $aTransferência de Tecnologia
653 $aComunicação organizacional
653 $aEmbrapa Suínos e Aves
653 $aRelatório
700 1 $aZIMMER, L. E.
700 1 $aPEREIRA, M. L.
700 1 $aSILVA, L. C. da
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