3次元再構成点群データに基づく落葉樹幹枝全体の体積推定方法の提案

抄録

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.