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

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorSilveira, Eduarda Martiniano de Oliveira-
Autor(es): dc.creatorMenezes, Michele Duarte de-
Autor(es): dc.creatorAcerbi Júnior, Fausto Weimar-
Autor(es): dc.creatorTerra, Marcela Castro Nunes Santos-
Autor(es): dc.creatorMello, José Márcio de-
Data de aceite: dc.date.accessioned2026-02-09T11:34:11Z-
Data de disponibilização: dc.date.available2026-02-09T11:34:11Z-
Data de envio: dc.date.issued2018-09-11-
Data de envio: dc.date.issued2018-09-11-
Data de envio: dc.date.issued2017-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/30403-
Fonte completa do material: dc.identifierhttps://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=1-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1142578-
Descrição: dc.descriptionAccurate 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 cerrado-
Idioma: dc.languageen-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceJournal of Applied Remote Sensing-
Título: dc.titleAssessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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