An Algorithm for Determining Pith Position Based on Crown Width Size

To accurately estimate the pith position, a method was proposed for estimating the pith position by the crown width. The crown widths of 120 trees and radiuses of each disc extracted at the height of 1.3 m from these trees were measured in four directions. The crown and radius ratios of the length of each direction to the total length in that direction and the opposite direction were calculated. Using the crown ratio as an independent variable, as well as the radius ratio as a dependent variable, the linear, logarithmic, exponential, and polynomial models were built. The model with the highest R2 was selected as the radius ratio model. The geometric center method and the crown width method were applied to estimate the pith position, and the estimation errors were calculated, respectively. The R2 of the linear, logarithmic, exponential, and polynomial models were 0.405, 0.379, 0.403, 0.404, respectively, and the linear model was chosen as the radius ratio model. The prediction error based on the crown width was 7.6%, and that of the geometric center method was 10.1%. The findings indicate that the crown width method can improve the accuracy of estimating the pith position.

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Publication Details

Journal
Forests
Published
2024-12-10
DOI
https://doi.org/10.3390/f15122172
Citations
1
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.21

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article

An Algorithm for Determining Pith Position Based on Crown Width Size

Xuefan Hu, Xiao Shang, Liang Fang, Zhuofan Li et al.
1 citations
Forests
Remote Sensing and LiDAR Applications
0.21
article

An Algorithm for Determining Pith Position Based on Crown Width Size

Xuefan Hu, Xiao Shang, Liang Fang, Zhuofan Li, Liming Cai, Li Fang, Yingshan Jin, Jianfeng Yao
article en
1 citations

Abstract

To accurately estimate the pith position, a method was proposed for estimating the pith position by the crown width. The crown widths of 120 trees and radiuses of each disc extracted at the height of 1.3 m from these trees were measured in four directions. The crown and radius ratios of the length of each direction to the total length in that direction and the opposite direction were calculated. Using the crown ratio as an independent variable, as well as the radius ratio as a dependent variable, the linear, logarithmic, exponential, and polynomial models were built. The model with the highest R2 was selected as the radius ratio model. The geometric center method and the crown width method were applied to estimate the pith position, and the estimation errors were calculated, respectively. The R2 of the linear, logarithmic, exponential, and polynomial models were 0.405, 0.379, 0.403, 0.404, respectively, and the linear model was chosen as the radius ratio model. The prediction error based on the crown width was 7.6%, and that of the geometric center method was 10.1%. The findings indicate that the crown width method can improve the accuracy of estimating the pith position.

ForestsVol. 15(12)
Xinyang Normal University (CN), Xinyang Agriculture and Forestry University (CN), Beijing Academy of Agricultural and Forestry Sciences (CN)
Natural Science Foundation of Henan Province
Openalex Percentile: Top 48%
Remote Sensing and LiDAR Applications
0.21
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