A method for 3D modeling of trees based on terrestrial LiDAR point cloud

WAN Lihong; CAO Zhenyu; TIAN Zhilin; SHI Yanli

doi:10.6046/zrzyyg.2023211

2025 Vol. 37, No. 1

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WAN Lihong, CAO Zhenyu, TIAN Zhilin, SHI Yanli. 2025. A method for 3D modeling of trees based on terrestrial LiDAR point cloud. Remote Sensing for Natural Resources, 37(1): 62-67. doi: 10.6046/zrzyyg.2023211

Citation:

WAN Lihong, CAO Zhenyu, TIAN Zhilin, SHI Yanli. 2025. A method for 3D modeling of trees based on terrestrial LiDAR point cloud. Remote Sensing for Natural Resources, 37(1): 62-67. doi: 10.6046/zrzyyg.2023211

A method for 3D modeling of trees based on terrestrial LiDAR point cloud

1. Sichuan Basic Geographic Information Center, Ministry of Natural Resources, Chengdu 610041, China;
2. School of Resources and Environment, University of Electronic Science and Technology of China, Chengdu 611731, China;
3. Technology Innovation Center of Emergency Surveying and Mapping, Ministry of Natural Resources, Chengdu 610041, China

Received Date: 14 July 2023

Revised Date: 15 December 2023

Abstract

Abstract

To capture information about the 3D geometric structures of trees more effectively and address the challenge of high-precision, high-fidelity tree reconstruction, this study proposed a method for 3D modeling of trees based on terrestrial LiDAR point cloud. To overcome the occlusion caused by leaf gaps in TLS, this method fully considered the aggregation of leaves, as well as the morphological characteristics of both leaves and branches. By conducting the model fitting and reconstruction of tree leaves and branches using Delaunay triangulation and Alpha-shape algorithm, respectively, the proposed method effectively addressed previous issues such as unrealistic tree structures and imprecise organ modeling, thus achieving the 3D reconstruction of individual tree leaves and small branches efficiently. This study holds great significance for determining forest structural parameters and managing resources, while also offering a valuable reference for component-level real scene 3D modeling of typical trees.
- terrestrial laser scanning /
- point cloud /
- branch and leaf separation /
- 3D real scene /
- tree 3D reconstruction

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References

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