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dc.contributor.authorGREGO, C. R.pt_BR
dc.contributor.authorMANJOLIN, R. C.pt_BR
dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorRODRIGUES, C. A. G.pt_BR
dc.contributor.authorSILVA, G. B. S. dapt_BR
dc.contributor.authorCONCEIÇÃO, M. P. C.pt_BR
dc.contributor.authorHERLING, V. R.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/1064665pt_BR
dc.descriptionLivestock rearing is an important economical activity in Brazil, and its production is affected by pasture management methods. In this context, the use of geostatistics to analyze the spatial variability of the pastures? vegetation indices is valuable for understanding how management methods influence livestock production. Geostatistics is a tool that considers spatial dependency to interpolate data with no tendency and with minimum variance, which enables the production of precise maps using interpolated values at places that were not sampled (Vieira, 2000). The spatialization of vegetation indices such as the Normalized Difference Vegetation Index (NDVI) helps to evaluate the quality of pastures and to identify areas which may undergo a degradation process. In this study we intended to spatially evaluate two pasture management methods, rotational grazing and continuous grazing, using geostatistics and the NDVI as an indicator obtained from Landsat images of an area located in Pirassununga, São Paulo, Brazil, taken in 2011.pt_BR
dc.language.isoengeng
dc.relation.ispartofseries(Embrapa Gado de Corte. Documentos, 216).pt_BR
dc.rightsopenAccesseng
dc.titleGeostatistical Analysis of NDVI in rotational and continuous grazing pastures.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusGeostatisticspt_BR
dc.subject.nalthesaurusNormalized difference vegetation indexpt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.format.extent2p. 121-125.pt_BR
riaa.ainfo.id1064665pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionCELIA REGINA GREGO, CNPM; Rodolfo Correa Manjolin, PIBIC-CNPq / CNPM; SANDRA FURLAN NOGUEIRA, CNPM; CRISTINA APARECIDA G RODRIGUES, CNPM; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; Maurício P. C. Conceição, PIBIC/CNPq / CNPM; Valdo Rodrigues Herling, Universidade de São Paulo.pt_BR
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