Estimating the Volume of Trunk and Branches of Whole Deciduous Trees based on 3D Reconstructed Point Cloud Data

Abstract

Tree volume estimation is important for fruit and forest management as it provides information on tree health, estimated growth, and yield. Measuring the volume of a whole tree, including branches, is time-consuming and costly. This study proposes a method to calculate the entire volume of tree trunks and branches by combining 3D reconstructed point cloud data and density-based clustering. The effectiveness of the proposed method is demonstrated based on a quantitative evaluation comparing the tree volume calculated by the proposed method with the volume of a tree mesh model.