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dc.contributor.authorANDRADE, R. G.pt_BR
dc.contributor.authorVICTORIA, D. de C.pt_BR
dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorGREGO, C. R.pt_BR
dc.contributor.authorBETTIOL, G. M.pt_BR
dc.contributor.authorOLIVEIRA, P. P. A.pt_BR
dc.date.accessioned2017-03-08T11:11:11Zpt_BR
dc.date.available2017-03-08T11:11:11Zpt_BR
dc.date.created2017-03-08pt_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.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1066513pt_BR
dc.descriptionThe sustainable use of pastures is of fundamental importance, given that a considerable part of the Brazilian pastures may be in process of degradation or degraded (Andrade et al., 2016). In general, the use of pastures is characterized by extractivism, with few producers who invest in the recovery of the productive potential of pastures and adopting less impactful technologies to the environment. Thus, the intensification of pastoral production systems can be adopted as a viable option to minimize the pressure on opening new areas of agricultural production and reduce the emission of gases causing the greenhouse effect (Barcellos et al., 2008). However, identify areas of pasture that have low production potential can be one of the challenges for large-scale implementation of efficient government policies with the adoption of strategic mitigation measures. In this context, remote sensing data can assist with relevant information for decision making in various scales of time and space. Given the above, aimed to apply data from WorldView-2 sensor and meteorological data to estimate the biomass of pasture areas.pt_BR
dc.language.isoengeng
dc.relation.ispartofseries(Embrapa Gado de Corte. Documentos, 216).pt_BR
dc.rightsopenAccesseng
dc.subjectPasturept_BR
dc.titleEstimation biomass of pasture areas using WorldView-2 data.pt_BR
dc.typeResumo em anais e proceedingspt_BR
dc.date.updated2017-03-08T11:11:11Zpt_BR
dc.subject.thesagroBiomassapt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.nalthesaurusBiomasspt_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.description.notesCoordenador: Roberto Giolo de Almeida. II SIGEE.pt_BR
dc.format.extent2p. 177-181.pt_BR
riaa.ainfo.id1066513pt_BR
riaa.ainfo.lastupdate2017-03-08pt_BR
dc.contributor.institutionRICARDO GUIMARÃES ANDRADE, CNPGL; DANIEL DE CASTRO VICTORIA, CNPTIA; SANDRA FURLAN NOGUEIRA, CNPM; CÉLIA REGINA GREGO, CNPM; GIOVANA MARANHÃO BETTIOL, CPAC; PATRICIA PERONDI ANCHÃO OLIVEIRA, CPPSE.pt_BR
Aparece en las colecciones:Resumo em anais de congresso (CPPSE)

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