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dc.contributor.authorSILVA, G. B. S. dapt_BR
dc.contributor.authorCONCEIÇÃO, M. P. C.pt_BR
dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorGREGO, C. R.pt_BR
dc.contributor.authorOLIVEIRA, P. P. A.pt_BR
dc.contributor.authorPEDROSO, A. de F.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/1064673pt_BR
dc.descriptionThe objective of this study was to discriminate different pastures in beef cattle production systems using Normalized Difference Vegetation Index (NDVI) temporal data, from April 2013 to August 2015, at experimental pasture areas located at Embrapa Pecuária Sudeste - Canchim Farm, São Carlos ? SP. Vegetation photosynthetic activity and production are related with NDVI values and this index has been utilized as an indicator on livestock production systems discrimination (Blanco et al., 2008, Alvarenga, 2015). The identification of degraded pasture areas is important as the recovery contributes, in the long term, to the mitigation of greenhouse gases (Oliveira, 2015).pt_BR
dc.language.isoengeng
dc.relation.ispartofseries(Embrapa Gado de Corte. Documentos, 216).pt_BR
dc.rightsopenAccesseng
dc.titleDiscrimination of Pastures in Beef Cattle Production Systems with Remote Sensing-Based Vegetation Index.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.nalthesaurusPasturespt_BR
dc.subject.nalthesaurusLivestock productionpt_BR
dc.format.extent2p. 145-148.pt_BR
riaa.ainfo.id1064673pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionGUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; Maurício P. C. Conceição, PIBIC-CNPq / CNPM; SANDRA FURLAN NOGUEIRA, CNPM; CELIA REGINA GREGO, CNPM; PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; ANDRE DE FARIA PEDROSO, CPPSE.pt_BR
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