Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1062788
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dc.contributor.authorSILVA, G. B. S. dapt_BR
dc.contributor.authorTEIXEIRA, A. H. de C.pt_BR
dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorVICTORIA, D. de C.pt_BR
dc.contributor.authorLEIVAS, J. F.pt_BR
dc.contributor.authorHERLIN, V. R.pt_BR
dc.date.accessioned2017-02-06T11:11:11Zpt_BR
dc.date.available2017-02-06T11:11:11Zpt_BR
dc.date.created2017-02-06pt_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/1062788pt_BR
dc.descriptionBrazilian Cerrado biome occupies 2,039,243 km², of which 29.5% (600,832 km2) is planted pasture area (MMA, 2015). A considerable portion of these pastures are considered degraded, thus identification and recovery of such areas could result in production gains. In the remote sensing (RS) context, pasturelands have been investigated in order to discriminate intensive and extensive grazing system areas. Intensive systems includes soil and animal management, with pasture fertilization and animal rotation in different paddocks. Extensive grazing systems do not have this management. As RS medium spatial resolution data and field measurements on biomass estimates have strong positive correlation (EDIRISINGHE et al., 2012) future researches points to assess the feasibility on grazing systems discrimination through temporal analysis. Thus, the objective of this work was to assess the Surface Algorithm for Evapotranspiration Retrieving (SAFER) potential, applied in with OLI/Landsat-8 images, to discriminate intensive and extensive grazing system areas through estimates of above ground biomass.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectSAFERpt_BR
dc.titleLandsat-based above ground biomass estimation in pasture area in São Paulo, Brazil.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2019-05-03T11:11:11Zpt_BR
dc.subject.thesagroBiomassapt_BR
dc.subject.thesagroPastagempt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.nalthesaurusAboveground biomasspt_BR
dc.subject.nalthesaurusLandsatpt_BR
dc.format.extent2p. 140-144.pt_BR
riaa.ainfo.id1062788pt_BR
riaa.ainfo.lastupdate2019-05-03 -03:00:00pt_BR
dc.contributor.institutionGUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; SANDRA FURLAN NOGUEIRA, CNPM; DANIEL DE CASTRO VICTORIA, CNPTIA; JANICE FREITAS LEIVAS, CNPM; Valdo R. Herlin, Universidade de São Paulo.pt_BR
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