Assessment of Stem Volume on Plots Using Terrestrial Laser Scanner: A Precision Forestry Application

Timber volume is an important asset, not only as an ecological component, but also as a key source of present and future revenues, which requires precise estimates. We used the Trimble TX8 survey-grade terrestrial laser scanner (TLS) to create a detailed 3D point cloud for extracting total tree height and diameter at breast height (1.3 m; DBH). We compared two different methods to accurately estimate total tree heights: the first method was based on a modified version of the local maxima algorithm for treetop detection, "H_TTD", and for the second method we used the centers of stem cross-sections at stump height (30 cm), "H_TSP". DBH was estimated by a computationally robust algebraic circle-fitting algorithm through hierarchical cluster analysis (HCA). This study aimed to assess the accuracy of these descriptors for evaluating total stem volume by comparing the results with the reference tree measurements. The difference between the estimated total stem volume from H_TTD and measured stems was 2.732 m³ for European oak and 2.971 m³ for Norway spruce; differences between the estimated volume from H_TSP and measured stems was 1.228 m³ and 2.006 m³ for European oak and Norway spruce, respectively. The coefficient of determination indicated a strong relationship between the measured and estimated total stem volumes from both height estimation methods with an R² = 0.89 for H_TTD and R² = 0.87 for H_TSP for European oak, and R² = 0.98 for both H_TTD and H_TSP for Norway spruce. Our study has demonstrated the feasibility of finer-resolution remote sensing data for semi-automatic stem volumetric modeling of small-scale studies with high accuracy as a potential advancement in precision forestry.