Tree form assessments using the Terrestrial Laser Scanner (TLS) have increased during recent years, but many existing methods are limited to small-sized trees. Based on the assumption that architectural trait variations influence the way a tree explores space, Lecigne et al. present an R package dedicated to derive qualitative (geometrical) and quantitative (volumetric) metrics from TLS point clouds of large trees.
Additionally, they use simulated and βreal worldβ TLS data to demonstrate that space exploration is relevant to analyse tree architecture, and to document the effect of voxel size on tree volume estimates and occlusion compensation.