21 July 2017 Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover
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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
© 2017 Society of Photo-Optical Instrumentation Engineers (SPIE)
Eduarda Martiniano de Oliveira Silveira, Eduarda Martiniano de Oliveira Silveira, Michele Duarte de Menezes, Michele Duarte de Menezes, Fausto Weimar Acerbi Júnior, Fausto Weimar Acerbi Júnior, Marcela Castro Nunes Santos Terra, Marcela Castro Nunes Santos Terra, José Márcio de Mello, José Márcio de Mello, } "Assessment of geostatistical features for object-based image classification of contrasted landscape vegetation cover," Journal of Applied Remote Sensing 11(3), 036004 (21 July 2017). https://doi.org/10.1117/1.JRS.11.036004 . Submission: Received: 21 April 2017; Accepted: 28 June 2017
Received: 21 April 2017; Accepted: 28 June 2017; Published: 21 July 2017
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