Reliability of summer crop masks derived from second order polynomial equations.

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dc.contributorCHRISTIANO L. ARRAES, Unicamp; RUBENS A. C. LAMPARELLI, Unicamp; JANSLE V. ROCHA, Unicamp; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; PABLO SALVADOR, University of Valladolid; JAVIER RODRÍGUEZ, University of Valladolid; JOSÉ-LUIS CASANOVA ROQUE, University of Valladolid; JULIA SANZ JUSTO, University of Valladolid; BEATRIZ G. BENATTI, IMECC/Unicamp.
dc.creatorARRAES, C. L.
dc.creatorLAMPARELLI, R. A. C.
dc.creatorROCHA, J. V.
dc.creatorESQUERDO, J. C. D. M.
dc.creatorSALVADOR, P.
dc.creatorRODRÍGUES, J.
dc.creatorROQUE, J.-L. C.
dc.creatorJUSTO, J. S.
dc.creatorBENATTI, B. G.
dc.date2013-02-27T11:11:11Z
dc.date2013-02-27T11:11:11Z
dc.date2013-02-27
dc.date2013
dc.date2013-09-12T11:11:11Z
dc.date.accessioned2026-07-07T04:13:07Z
dc.descriptionRemote Sensing techniques are useful to determine planted areas, especially of commodities like maize and soybeans (summer cultures). The vegetation indexes as NDVI (Normalized Difference Vegetation Index) has been used to map agricultural areas due to its low cost and accessibility. Therefore the objective of this study was to develop a new methodology to generate masks of summer crops based on fitting second order polynomial equations to temporal NDVI profiles. The results showed that selecting polynomial equations with r2 fitting above 0.75, a Kappa index of 0.86 and a global accuracy of 93% is obtained. This is slightly higher than the results obtained when using the maximum-minimum NDVI technique, with a Kappa index of 0.82 and a global accuracy of 91%. However, while quantifying the areas under study, one verified that the mask used by the proposed methodology, was closer to the official IBGE data, with a difference of -10.25%, followed by the vector technique with 23% and by the maximum-minimum NDVI, with a difference of 42.8%.
dc.identifierJournal of Agricultural Science, Toronto, v. 5, n. 3, p. 63-75, 2013.
dc.identifierhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/951407
dc.identifier.urihttp://hdl.handle.net/123456789/454401
dc.languageeng
dc.rightsopenAccess
dc.subjectÍndice de vegetação
dc.subjectSoja
dc.subjectMilho
dc.subjectSensoriamento Remoto
dc.subjectSoybeans
dc.subjectVegetation
dc.subjectRemote sensing
dc.subjectCorn
dc.titleReliability of summer crop masks derived from second order polynomial equations.
dc.typeArtigo de periódico

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