Visual modeling of eucalyptus forest using LiDAR data

Shihang Yang; Heping Fang; Shuhong Peng

doi:10.1117/12.2690300

17 August 2023 Visual modeling of eucalyptus forest using LiDAR data

Shihang Yang, Heping Fang, Shuhong Peng

Proceedings Volume 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023); 127572W (2023) https://doi.org/10.1117/12.2690300
Event: 3rd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2023), 2023, Kunming, China

Abstract

This paper presents a novel approach that utilizes airborne LiDAR point cloud data to reconstruct the growth of individual eucalyptus trees in a forest. Firstly, the point cloud data is preprocessed using specialized software to separate the land and eucalyptus forest vegetation canopy surfaces. Next, a single tree feature matching algorithm is employed to isolate a single eucalyptus tree. The single tree forest is then segmented on an elevation projection image, which enables accurate calculation of the plane coordinates, tree height, and crown diameter, ultimately resulting in the position modeling of each tree. Using the single tree model, the biomass of each tree is estimated through its growth equation. This method provides a visual simulation of the laser point clouds of single tree morphology to the overall forest, which allows for the estimation of the aboveground biomass of eucalyptus forests. The research results are expected to provide technical support for estimating the carbon storage of eucalyptus forests in the region. Overall, this approach offers a valuable tool for forest management and carbon accounting, which can help to promote sustainable forestry practices.

Citation Download Citation

Shihang Yang, Heping Fang, and Shuhong Peng "Visual modeling of eucalyptus forest using LiDAR data", Proc. SPIE 12757, 3rd International Conference on Laser, Optics, and Optoelectronic Technology (LOPET 2023), 127572W (17 August 2023); https://doi.org/10.1117/12.2690300

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KEYWORDS

LIDAR

Biomass

Image segmentation

Point clouds

Vegetation

Biological research

Data modeling

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