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dc.contributor.authorBROWN, J. C.pt_BR
dc.contributor.authorKASTENS, J.pt_BR
dc.contributor.authorWARDLOW, B.pt_BR
dc.contributor.authorJEPSON, W.pt_BR
dc.contributor.authorCOUTINHO, A. C.pt_BR
dc.contributor.authorVENTURIERI, A.pt_BR
dc.contributor.authorLOMAS, J.pt_BR
dc.contributor.authorPRICE, K.pt_BR
dc.date.accessioned2013-12-16T11:11:11Zpt_BR
dc.date.available2013-12-16T11:11:11Zpt_BR
dc.date.created2013-12-16pt_BR
dc.date.issued2007pt_BR
dc.identifier.citationIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 13., 2007, Florianópolis. Anais... São José dos Campos: INPE, 2007.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/974081pt_BR
dc.descriptionPolicy makers concerned with managing rapidly developing agriculture on the Amazon frontier currently have no Basin-wide spatial and temporal information on exactly when and how soubean and other mechanized annual cropping have developed in the region. To address this, we present a reliminary evaluation of the use of moderate resolution Imaging Spectroradiometer (MODIS) 250 m vegetation index (VI) time-series data to detect croppping frequency in two municipalities, Vilhena, Rondônia, and Santarém, Pará.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectBrasilpt_BR
dc.titleUsing MODIS to detect cropping frequency variation in mechanized agriculture in Amazonia.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2013-12-16T11:11:11Zpt_BR
dc.subject.thesagroAgriculturapt_BR
dc.subject.nalthesaurusAmazoniapt_BR
dc.format.extent2p. 99-101.pt_BR
riaa.ainfo.id974081pt_BR
riaa.ainfo.lastupdate2013-12-16pt_BR
dc.contributor.institutionJohn Christopher Brown, University of Kansas; JUDE KASTENS, University of Kansas; BRIAN WARDLOW, University of Nebraska-Lincoln; WENDY JEPSON, Texas A&M University; ALEXANDRE CAMARGO COUTINHO, CNPM; ADRIANO VENTURIERI, CPATU; JOHN LOMAS, University of Kansas; KEVIN PRICE, University of Kansas.pt_BR
Aparece en las colecciones:Artigo em anais de congresso (CPATU)

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