Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover

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dc.creatorSilveira, Eduarda Martiniano de Oliveira
dc.creatorMenezes, Michele Duarte de
dc.creatorAcerbi Júnior, Fausto Weimar
dc.creatorTerra, Marcela Castro Nunes Santos
dc.creatorMello, José Márcio de
dc.date.accessioned2018-09-11T11:46:27Z
dc.date.available2018-09-11T11:46:27Z
dc.date.issued2017
dc.description.abstractAccurate mapping and monitoring of savanna and semiarid woodland biomes are needed to support the selection of areas of conservation, to provide sustainable land use, and to improve the understanding of vegetation. The potential of geostatistical features, derived from medium spatial resolution satellite imagery, to characterize contrasted landscape vegetation cover and improve object-based image classification is studied. The study site in Brazil includes cerradopt_BR
dc.identifier.citationSILVEIRA, E. M. de O. et al. Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover. Journal of Applied Remote Sensing, [S.l.], v. 11, n. 3, 2017.pt_BR
dc.identifier.urihttps://repositorio.ufla.br/handle/1/30403
dc.identifier.urihttps://www.spiedigitallibrary.org/journals/journal-of-applied-remote-sensing/volume-11/issue-03/036004/Assessment-of-geostatistical-features-for-object-based-image-classification-of/10.1117/1.JRS.11.036004.full?SSO=1pt_BR
dc.languageen_USpt_BR
dc.rightsopenAccesspt_BR
dc.sourceJournal of Applied Remote Sensingpt_BR
dc.titleAssessment of geostatistical features for object-based image classification of contrasted landscape vegetation coverpt_BR
dc.typeArtigopt_BR

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