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Synergetic potentials of C-band SAR and multi-spectral imagery for tropical classifications in Northern Mato Grosso (BR)

机译:北马托格罗索州(BR)的C波段SAR和多光谱影像对热带分类的协同潜力

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Using monthly as well as annual statistics, we investigate the potentials of synergetic utilization of multispectral and C-band SAR data for the classification of a study site in the central Brazilian state of Mato Grosso. We aim at the classification of five tropical land cover classes (primary forests, secondary vegetation, pasture, agricultural, water), and highlight the potentials of standalone S1 classification, as well as the synergetic potentials using two sensors. The overall size of the study site is about 300.000 km
机译:使用月度和年度统计数据,我们调查了多光谱和C波段SAR数据协同利用的潜力,以对巴西中部马托格罗索州的研究地点进行分类。我们的目标是对五个热带土地覆盖类别(原始森林,次生植被,牧场,农业,水)进行分类,并重点介绍独立S1分类的潜力以及使用两个传感器的协同潜力。研究地点的总规模约为300.000公里

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