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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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Registros recuperados : 210 | |
125. | | ROMANI, L. A. S.; EVANGELISTA, S. R. M.; ASSAD, E. D.; OTAVIAN, A. F.; PINTO, H. F.; MONTAGNER, A. J. Integração e análises estatísticas de dados pluviométricos para monitoramento de culturas. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 5.; SIMPÓSIO BRASILEIRO DE TECNOLOGIA DA INFORMAÇÃO NO AGRONEGÓCIO COOPERATIVO, 2., 2005, Londrina. Agronegócio, tecnologia e inovação: anais. Londrina: SBI-Agro, 2005. 8 p.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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127. | | EVANGELISTA, S. R. M.; TERNES, S.; ASSAD, E. D.; ROMANI, L. A. S.; SANTOS, E. H. dos; OTAVIAN, A. F. Monitoramento agroclimatológico pela Web. In: CONGRESSO BRASILEIRO DA SOCIEDADE BRASILEIRA DE INFORMÁTICA APLICADA À AGROPECUÁRIA E À AGROINDÚSTRIA, 4., 2003, Porto Seguro. Anais... Lavras: SBIAGRO, 2003. p. 1-4. Na publicação: Adriano Franzoni.Biblioteca(s): Embrapa Agricultura Digital. |
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129. | | ROMANI, L. A. S.; ZULLO JÚNIOR, J.; NASCIMENTO, C. R.; GONÇALVES, R. R. V.; TRAINA, C; TRAINA, A. J. M. Monitoring sugar cane crops through DTW-based method for similarity search in NDVI time series. In: INTERNATIONAL WORKSHOP ON THE ANALYSIS OF MULTI-TEMPORAL REMOTE SENSING IMAGES, 5., 2009, Groton, Connecticut. Proceedings... Storrs: UConn, 2009. p. 171-178. MultiTemp 2009.Tipo: Artigo em Anais de Congresso / Nota Técnica |
Biblioteca(s): Embrapa Agricultura Digital. |
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134. | | ZULLO JUNIOR, J.; ASSAD, E. D.; PINTO, H. S.; FAGUNDES, R. M.; ROMANI, L. A. S.; OLIVEIRA, D. C. de. Relação entre cobertura nebulosa, registrada nas imagens vespertinas do satélite AVHRR/NOAA-16, e estiagem. In: CONGRESSO BRASILEIRO DE AGROMETEOROLOGIA, 14., 2005, Campinas. Agrometeorologia, agroclimatologia e agronegócio: resumos. Campinas: SBA: UNICAMP, 2005. p. 113.Tipo: Resumo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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137. | | CHINO, D. Y. T.; GONCALVES, R. R. V.; ROMANI, L. A. S.; TRAINA JÚNIOR, C.; TRAINA, A. J. M. Discovering frequent patterns on agrometeorological data with TrieMotif. In: INTERNATIONAL CONFERENCE ON ENTERPRISE INFORMATION SYSTEMS, 16., 2014, Lisbon. Enterprise information systems: ICEIS 2014: revised selected papers. Switzerland: Springer, 2015. p. 91-107. (Lecture notes in business information processing, 227). Editores: José Cordeiro, Slimane Hammoudi, Leszek Maciaszek, Olivier Camp, Joaquim Filipe.Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Agricultura Digital. |
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Registros recuperados : 210 | |
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