Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/30403
Title: Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover
Issue Date: 2017
Citation: SILVEIRA, 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.
Abstract: Accurate 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
URI: https://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
http://repositorio.ufla.br/jspui/handle/1/30403
Appears in Collections:DCF - Artigos publicados em periódicos
DCS - Artigos publicados em periódicos

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