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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Ocidental. |
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Data corrente: |
14/08/2000 |
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Data da última atualização: |
19/11/2019 |
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Autoria: |
HOFER, H.; LUIZAO, F. |
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Afiliação: |
SMNK; INPA. |
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Título: |
Decompositon in letterbagas and mini-containers. |
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Ano de publicação: |
1999 |
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Fonte/Imprenta: |
In: SHIFT PROJECT ENV 52 (Manaus-AB). Soil fauna and litter decomposition in primary and secondary forests and a mixed culture system in Amazonia. Manaus: SMNK/Embrapa Amazonia Ocidental, 1999. |
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Páginas: |
p. 217-229. |
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Idioma: |
Inglês |
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Notas: |
Final Report 1996-1999. |
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Conteúdo: |
Study on decomposition in litterbag and mini-containers in the tropical rain forest, Manaus-AM (Brasil). |
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Palavras-Chave: |
Amazonas; Brasil; Manaus. |
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Thesagro: |
Agrossilvicultura; Cultivo Multiplo; Decomposição; Fauna Edáfica; Floresta Tropical Úmida; Matéria Orgânica; Serapilheira. |
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Thesaurus Nal: |
agroforestry; degradation; forest litter; multiple cropping; organic matter; soil fauna; tropical rain forests. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01182naa a2200361 a 4500
001 1669564
005 2019-11-19
008 1999 bl uuuu u00u1 u #d
100 1 $aHOFER, H.
245 $aDecompositon in letterbagas and mini-containers.
260 $c1999
300 $ap. 217-229.
500 $aFinal Report 1996-1999.
520 $aStudy on decomposition in litterbag and mini-containers in the tropical rain forest, Manaus-AM (Brasil).
650 $aagroforestry
650 $adegradation
650 $aforest litter
650 $amultiple cropping
650 $aorganic matter
650 $asoil fauna
650 $atropical rain forests
650 $aAgrossilvicultura
650 $aCultivo Multiplo
650 $aDecomposição
650 $aFauna Edáfica
650 $aFloresta Tropical Úmida
650 $aMatéria Orgânica
650 $aSerapilheira
653 $aAmazonas
653 $aBrasil
653 $aManaus
700 1 $aLUIZAO, F.
773 $tIn: SHIFT PROJECT ENV 52 (Manaus-AB). Soil fauna and litter decomposition in primary and secondary forests and a mixed culture system in Amazonia. Manaus: SMNK/Embrapa Amazonia Ocidental, 1999.
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Registro original: |
Embrapa Amazônia Ocidental (CPAA) |
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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. |
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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