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dc.contributor.authorCOLTRI, P. P.pt_BR
dc.contributor.authorROMANI, L. A. S.pt_BR
dc.contributor.authorDUBREUIL, V.pt_BR
dc.contributor.authorCORGNE, S.pt_BR
dc.contributor.authorZULLO JUNIOR, J.pt_BR
dc.contributor.authorPINTO, H. S.pt_BR
dc.date.accessioned2011-07-08T11:11:11Zpt_BR
dc.date.accessioned2011-07-08T11:11:11Zpt_BR
dc.date.available2011-07-08T11:11:11Zpt_BR
dc.date.available2011-07-08T11:11:11Zpt_BR
dc.date.created2011-07-08pt_BR
dc.date.issued2011pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 15., 2011, Curitiba. Anais... São José dos Campos: INPE, 2011.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/895467pt_BR
dc.descriptionAbstract. In recent years, several works have been accomplished in order to analyze the spectral response of coffee crop fields cultivated in full sun. However, the number of papers related to the monitoring of shaded coffee systems is reduced although this kind of cultivation is very important from the perspective of climate change and agriculture. In addition, the biomass of coffee systems can store carbon, which is a mitigation action. In this context, this paper presents the assessment of the meteorological variation joined with the biomass increase in three different coffee plantation systems: full sun, shaded coffee associated with legumes (SAF), and shaded coffee with Macadamia trees. We used Landsat-5 images from 2004 to 2010, and the NDVI and SAVI indexes. LAI index measured in the test area during all 2009 year. The results showed that the shaded coffee systems presented the NDVI and SAVI indexes with higher values than those found with the system of planting in full sun what corroborates the idea of greater amount of biomass in this type of planting. All indexes present the seasonal rain variation. One month after a large period of drought the indexes NDVI, SAVI and LAI decrease. The NDVI and SAVI indexes presented high correlation with the measured LAI. The shaded coffee system and the full sun coffee reached high vegetation indexes what indicate a high concentration of biomass. This factor should be considered in the decision making process since is important to take advantage of cultivation systems acting as carbon sinks.pt_BR
dc.language.isoengpt_BR
dc.rightsopenAccesseng
dc.subjectCafé arborizadopt_BR
dc.subjectProcessamento de imagenspt_BR
dc.subjectImage processingpt_BR
dc.subjectShaded coffeept_BR
dc.titleVariação temporal da biomassa do café arábica arborizado e a pleno sol, através de índices de vegetação.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2020-01-24T11:11:11Zpt_BR
dc.subject.thesagroBiomassapt_BR
dc.subject.nalthesaurusBiomasspt_BR
dc.subject.nalthesaurusImage analysiseng
dc.description.notesSBSR 2011.pt_BR
dc.format.extent2p. 0531-0538.pt_BR
riaa.ainfo.id895467pt_BR
riaa.ainfo.lastupdate2020-01-24 -02:00:00pt_BR
dc.contributor.institutionPRISCILA PEREIRA COLTRI, UNICAMP; LUCIANA ALVIM SANTOS ROMANI, CNPTIA; VINCENT DUBREUIL; SAMUEL CORGNE; JURANDIR ZULLO JUNIOR, UNICAMP; HILTON SILVEIRA PINTO, UNICAMP.pt_BR
Aparece en las colecciones:Artigo em anais de congresso (CNPTIA)

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