Plot-level wood-leaf separation for terrestrial laser scanning point clouds

With the increasing use of terrestrial laser scanning (TLS) technology in the field of forest ecology, wood-leaf separation for TLS point clouds of forest plots has attracted a large number of studies. This dataset was open to the public for the developing, testing and comparision of the wood-leaf separation methods for TLS data. The dataset was collected from three forest plots of different stem density, topography and tree species, i.e., a white birch (Betula papyrifera) plot, a Dahurian larch (Larix gmelinii) plot and a Chinese scholar tree (Styphnolobium japonicum) plot. The wood and leaf points were classified manually, which can be as the reference for method validation.