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Quantitative structure models (QSM) provide topological models of trees as geometric primitives derived from LiDAR (light detection and ranging) derived tree point clouds. QSMs allow for efficient estimation of tree metrics traditionally difficult or impossible to measure directly, such as total volume and surface area. However, QSMs are limited by their input point clouds. Technological limitations of current laser scanning sensors severely overestimate the diameters of small branches and twigs, inflating their size in the QSM. Here, we present an R package, rTwig , to correct branch volume overestimation in QSMs with the Real Twig method. Real Twig modifies QSMs, resulting in realistic branch tapering constrained by the species’ actual twig measurement and precise and accurate tree metrics. The rTwig package contains fast and efficient tools for QSM and point cloud manipulation and visualization within the R programming environment, and a novel database of twig diameter measurements for a wide range of tree genera and species. We expect rTwig will improve confidence in using LiDAR for forest inventory, monitoring, above ground volume and biomass estimation, and carbon accounting. • rTwig is a new R package for quantitative structure models (QSM). • rTwig improves QSM volume estimates of branches with the Real Twig method. • rTwig introduces a novel database of twig diameter measurements. • rTwig includes new tools for QSM manipulation, visualization, and analysis.
Morales et al. (Wed,) studied this question.