Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/748734
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dc.contributor.authorLEIVAS, J. F.pt_BR
dc.contributor.authorTEIXEIRA, A. H. de C.pt_BR
dc.contributor.authorANDRADE, R. G.pt_BR
dc.contributor.authorBAYMA, G.pt_BR
dc.contributor.authorNOGUEIRA, S. F.pt_BR
dc.contributor.authorARAUJO, L. S. dept_BR
dc.date.accessioned2015-05-13T05:52:22Z-
dc.date.available2015-05-13T05:52:22Z-
dc.date.created2010-05-04pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015.pt_BR
dc.identifier.isbn85-15-01256-1pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/748734pt_BR
dc.descriptionAbstract: The Tapajós National Forest in Eastern Amazonia has been affected by human activities such as agriculture and livestock. The advance of the agricultural removing natural vegetation cover and economic activities are advancing in the Amazon region, causing changes in vegetation cover. Biophysical parameters such as albedo, surface temperature, NDVI, and others, obtained from satellite may assist in monitoring changes in vegetation cover through spatially distributed information. The SAFER (Simple Algorithm For Retrieving Evapotranspiration) is an algorithm has presented good results in estimating these biophysical parameters. An advantage of this model isn’t obligatory use of the thermal band enabling several sensors to be used coupled with meteorological data. In this study, images with high spatial resolution RapidEye (5 m) satellite enabling good discrimination for surface and visualization of agricultural areas around the National Forest were used. Samples were selected by visual interpretation of the mosaic of RapidEye images of 2011 aided by information land use cover 2010 product provided by TerraClass project. From the preliminary analysis of the Tapajós National Forest northeast area, it was concluded that despite low density of weather stations in the Amazon, it was possible to evaluate the anthropic action surrounding of the National Forest, contributing to impact assessments of agricultural expansion in this region. O objetivo deste estudo foi utilizar os dados de estação meteorológica e imagens de satélite com alta resolução espacial para analisar os parâmetros biofísicos da Floresta Nacional do Tapajós (Flona) e entorno.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectAgrometeorologiapt_BR
dc.subjectEstação meteorologicapt_BR
dc.titleAplicação do modelo agrometeorológico espectral SAFER e imagens Rapid Eye na FLONA Tapajós.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2015-05-13T05:52:22Zpt_BR
dc.subject.thesagroSensoriamento Remotopt_BR
dc.format.extent2p. 2552-2558.pt_BR
riaa.ainfo.id748734pt_BR
riaa.ainfo.lastupdate2015-05-12pt_BR
dc.contributor.institutionJANICE FREITAS LEIVAS, CNPM; ANTONIO HERIBERTO DE C TEIXEIRA, CNPM; RICARDO GUIMARAES ANDRADE, CNPM; GUSTAVO BAYMA SIQUEIRA DA SILVA, CNPM; SANDRA FURLAN NOGUEIRA, CNPM; LUCIANA SPINELLI DE ARAUJO, CNPM.pt_BR
Aparece nas coleções:Artigo em anais de congresso (CNPM)

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