An automated approach for wood-leaf separation from terrestrial LIDAR point clouds using the density based clustering algorithm DBSCAN

•A geometric method for wood-leaves separation from TLS point clouds is proposed.•Classification of wood points is highly accurate in broad leaved non-decidous trees.•The accuracy of classification drops for fine branches and twigs (diameter <3 cm).•Our approach requires only spatial coordinates...

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