Estimating 3D Green Volume and Aboveground Biomass of Urban Forest Trees by UAV-Lidar

Abstract

Three dimensional (3D) green volume is an important tree factor used in forest surveys as a prerequisite for estimating aboveground biomass (AGB). In this study, we developed a method for accurately calculating the 3D green volume of single trees from unmanned aerial vehicle laser scanner (ULS) data, using a voxel coupling convex hull by slices algorithm, and compared the results using voxel coupling convex hull by slices algorithm with traditional 3D green volume algorithms (3D convex hull, 3D concave hull (alpha shape), convex hull by slices, voxel and voxel coupling convex hull by slices algorithms) to estimate AGB. Our results showed the following: (1) The voxel coupling convex hull by slices algorithm can accurately estimate the 3D green volume of a single ginkgo tree (RMSE = 11.17 m3); (2) Point cloud density can significantly affect the extraction of 3D green volume; (3) The addition of the 3D green volume parameter can significantly improve the accuracy of the model to estimate AGB, where the highest accuracy was obtained by the voxel coupling convex hull by slices algorithm (CV-R2 = 0.85, RMSE = 11.29 kg, and nRMSE = 15.12%). These results indicate that the voxel coupling convex hull by slices algorithms can more effectively calculate the 3D green volume of a single tree from ULS data. Moreover, our study provides a comprehensive evaluation of the use of ULS 3D green volume for AGB estimation and could significantly improve the estimation accuracy of AGB.

Plant phenotyping relevance

UAV-LiDARから単木の3D緑量という植物形態形質を抽出する手法を開発し、複数アルゴリズムとの比較・精度評価およびAGB推定への応用を行っており、フェノタイピング手法が中心です。

Code and data availability

The paper describes UAV-Lidar point cloud data, field measurements of 64 ginkgo trees, and MATLAB/R analysis code, but provides no public deposit, repository, or URL for any dataset or code. The Data Availability Statement explicitly says 'Not applicable.'

No evidence-backed public reproduction asset is currently recorded.