Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839
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dc.contributor.authorCECHIM JUNIOR, C.pt_BR
dc.contributor.authorJOHANN, J. A.pt_BR
dc.contributor.authorANTUNES, J. F. G.pt_BR
dc.date.accessioned2017-05-22T11:11:11Zpt_BR
dc.date.available2017-05-22T11:11:11Zpt_BR
dc.date.created2017-05-22pt_BR
dc.date.issued2017pt_BR
dc.identifier.citationRevista Brasileira de Engenharia Agrícola e Ambiental, Campina Grande, v. 21, n. 6, p. 427-432, jun. 2017.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1069839pt_BR
dc.descriptionABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and allows establishing the logistics of production disposal. The objective of this work was to develop a methodology for mapping the sugarcane crop area in the state of Paraná, Brazil, using images from the Landsat/TM/OLI and IRS/LISS-3 satellites, for the crop years from 2010/2011 to 2013/2014. The mappings were conducted through the supervised Maximum likelihood classification (Maxver) achieving, on average, an overall accuracy of 94.13% and kappa index of 0.82. The correlation with the official data of the IBGE ranged from moderate to strong (0.64 ≤ rs ≤ 0.80) with average agreement (dr) of 0.81. There was an increase of 2.73% (18,630 ha) in the area with sugarcane in Paraná between 2010/2011 and 2013/2014.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectProcessamento de imagem digitalpt_BR
dc.subjectClassificação supervisionadapt_BR
dc.subjectDigital image processingpt_BR
dc.subjectSupervised classificationpt_BR
dc.subjectMaxverpt_BR
dc.titleMapping of sugarcane crop area in the Paraná State using Landsat/TM/OLI and IRS/LISS-3 images.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-05-22T11:11:11Zpt_BR
dc.subject.thesagroCana de açúcarpt_BR
dc.subject.thesagroSensoriamento remotopt_BR
dc.subject.thesagroEstatística agrícolapt_BR
dc.subject.nalthesaurusSugarcanept_BR
dc.subject.nalthesaurusRemote sensingpt_BR
dc.subject.nalthesaurusImage analysispt_BR
dc.subject.nalthesaurusAgricultural statisticspt_BR
dc.description.notesAgriambi.pt_BR
riaa.ainfo.id1069839pt_BR
riaa.ainfo.lastupdate2017-05-22pt_BR
dc.identifier.doihttp://dx.doi.org/10.1590/1807-1929/agriambi.v21n6p427-432pt_BR
dc.contributor.institutionCLÓVIS CECHIM JUNIOR, Unioeste; JERRY A. JOHANN, Unioeste; JOÃO FRANCISCO GONÇALVES ANTUNES, CNPTIA.pt_BR
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