Developing a more accurate method for individual plant segmentation of urban tree and shrub communities using LiDAR technology

Liu, Yang; Zhang, Xuguang; Ma, Zitong; Dong, Nalin; Xie, Dongbo; Li, Rui; Johnston, Douglas M.; Gao, Yu; Li, Yonghua; Lei, Yakai

doi:10.1080/01426397.2022.2144813

Cited by 5 publications

(1 citation statement)

References 41 publications

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“…Qin et al [46] proposed a watershed-spectral-texturecontrolled normalized cut (WST-Ncut) algorithm However, vegetation spectral and textural information often vary over time. Liu et al [65] developed a multiround comparative shortest-path algorithm (M-CSP) to segment trees and shrub plants in urban environments. Lu et al [33] proposed a bottom-up approach to segment trees from LiDAR data and achieved F-scores exceeding 0.9 in leaf-off forests.…”

Section: Tree Segmentationmentioning

confidence: 99%

Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data

Wang

Yao

et al. 2023

Remote Sensing

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The rapid development of LiDAR technology has promoted great changes in forest resource surveys. The airborne LiDAR point cloud can provide the precise height and detailed structure of trees, and can estimate key forest resource indicators such as forest stock volume, diameter at breast height, and forest biomass at a large scale. By establishing relationship models between the forest parameters of sample plots and the calculated parameters of LiDAR, these developments may eventually expand the models to large-scale forest resource surveys of entire areas. In this study, eight sample plots in northeast China are used to verify and update the information using point cloud obtained by the LiDAR scanner riegl-vq-1560i. First, the tree crowns are segmented using the profile-rotating algorithm, and tree positions are registered based on dominant tree heights. Second, considering the correlation between crown shape and tree species, we use DBN classifier to identify species using features of crowns, which are extracted to 1D array. Third, when the tree species is known, parameters such as height, crown width, diameter at breast height, biomass, and stock volume can be extracted from trees, enabling accurate large-scale forest surveys based on LiDAR data. Finally, experiment results demonstrate that the F-score of the eight plots in the tree segmentation exceed 0.95, the accuracy of tree species correction exceeds 90%, and the R2 of tree height, east–west crown width, north–south crown width, diameter at breast height, aboveground biomass, and stock volume are 0.893, 0.757, 0.694, 0.840, 0.896 and 0.891, respectively. The above results indicate that the LiDAR-based survey is practical and can be widely applied in forest resource monitoring.

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Section: Tree Segmentationmentioning

confidence: 99%

Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data

Wang

Yao

et al. 2023

Remote Sensing

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Microtopography-Guided precision restoration of sandy lands through UAV: A case study in Hunshandake Sandy Land, China

Chen,

Sun,

et al. 2024

CATENA

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Exploring the correlation between tree structure characteristics and carbon storage in historic gardens using TLS technology: a case study of Jian Xin Pavilions at Jingyi Park, Fragrant Hills Park

Ouyang,

He,

Lin

et al. 2024

Herit Sci

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Historic gardens contain a greater number and variety of ancient trees, which are older, have unique forms, and larger volumes. These trees hold significant value in both natural ecosystems and cultural heritage. However, current research on the carbon sequestration value of ancient and non-ancient trees in historical gardens is relatively lacking. Based on the unique morphology and carbon storage estimation needs of ancient trees in historic gardens, this paper proposes a morphology-based point cloud single-tree segmentation method. This method can precisely extract the morphological structures of various tree species and accurately estimate their carbon storage. From the perspective of carbon sequestration, it evaluates the correlation between the structural characteristics and carbon storage of trees in historic gardens, as well as the potential changes in their carbon storage capacity.Using the Jing Yi Park’s Jian Xin Pavilions in Fragrant Hills Park as a case study, this method was applied to extract structural indicators of 116 ancient and non-ancient trees. The total carbon storage was found to be 19,171.13 kg, with an average carbon storage of 165.27 kg per tree. Among these, ancient trees accounted for 13,178.32 kg, or 68.74% of the total carbon storage. The study revealed that the correlation between tree age and carbon storage varied by species, and there were significant positive correlations between carbon storage and tree height, DBH, and canopy volume. Notably, there was a significant linear growth trend between DBH, canopy volume, and carbon storage. By 2030, the total carbon storage is projected to increase to 21,924.96 kg, with an annual average increase of 393.40 kg, representing a growth rate of 14.4%.The results indicate that studying the correlation between structural characteristics and carbon storage of aged trees in historical gardens can shed light on the important role of trees in sustainable carbon sequestration. The precise extraction of tree information through 3D digital technology and the prediction of carbon storage potential not only offer new perspectives for the conservation of cultural heritage in historical gardens, urban microclimate planning and design, and spatial management of carbon sinks and emissions but also have significant value for promoting the scientific management and protection of urban green spaces.

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Developing a more accurate method for individual plant segmentation of urban tree and shrub communities using LiDAR technology

Cited by 5 publications

References 41 publications

Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data

Sample Plots Forestry Parameters Verification and Updating Using Airborne LiDAR Data

Microtopography-Guided precision restoration of sandy lands through UAV: A case study in Hunshandake Sandy Land, China

Exploring the correlation between tree structure characteristics and carbon storage in historic gardens using TLS technology: a case study of Jian Xin Pavilions at Jingyi Park, Fragrant Hills Park

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