Predicting riverbeds in Nigeria using machine learning algorithms and ‘eyes in the air’

by Adeyemi Olusola Very few studies have been successful in combining ‘eyes in the air’ (remote sensing) with river characteristics to predict riverbed types (Channel Unit Types) within a river channel. This study on River sensing: Inclusion of red band to predict reach-scale types using machine learning algorithms aims to understand the role of satellite

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