Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1064675
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dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorCONCEIÇÃO, M. P. C.pt_BR
dc.contributor.authorGREGO, C. R.pt_BR
dc.contributor.authorBAYMA, G.pt_BR
dc.contributor.authorALVES, T. C.pt_BR
dc.contributor.authorOLIVEIRA, P. P. A.pt_BR
dc.date.accessioned2017-02-17T11:11:11Zpt_BR
dc.date.available2017-02-17T11:11:11Zpt_BR
dc.date.created2017-02-17pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationIn: INTERNATIONAL SYMPOSIUM ON GREENHOUSE GASES IN AGRICULTURE, 2., 2016, Campo Grande, MS. Proceedings... Brasília, DF: Embrapa, 2016.pt_BR
dc.identifier.issn1983-974Xpt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1064675pt_BR
dc.descriptionAbstract: Our objective in this study was to evaluate the effect of two dairy-cattle production systems on the Normalized Difference Vegetation Index (NDVI) of the pasture, obtained from a temporal series of Landsat images. The greenness displayed in the NDVI values may be correlated with plant production to indicate a stronger or weaker production, as well as to act as an indicator for different types of management of livestock systems (Alvarenga et al., 2015). On its turn, the pastures’ biomass production may be correlated with potential for carbon storage in the soil (Oliveira, 2015).pt_BR
dc.language.isoengeng
dc.relation.ispartofseries(Embrapa Gado de Corte. Documentos, 216).pt_BR
dc.rightsopenAccesseng
dc.titleEvaluation of Vegetation Indices at Pasture-Based Systems for Dairy Cattle using Remote Sensing Data.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
dc.subject.nalthesaurusNormalized difference vegetation indexpt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.format.extent2p. 112-115.pt_BR
riaa.ainfo.id1064675pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionSANDRA FURLAN NOGUEIRA, CNPMpt_BR
dc.contributor.institutionMAURÍCIO P. C. CONCEIÇÃO, PIBIC/CNPQ - CNPMeng
dc.contributor.institutionCELIA REGINA GREGO, CNPMeng
dc.contributor.institutionGUSTAVO BAYMA SIQUEIRA DA SILVA, CNPMeng
dc.contributor.institutionTERESA CRISTINA ALVES, CPPSEeng
dc.contributor.institutionPATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE.eng
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