Design and Implementation of System for Estimating Diameter at Breast Height and Tree Height using LiDAR point cloud data (LiDAR 점군 데이터를 이용한 흉고직경과 수고를 예측하는 시스템의 설계와 구현)

Jong-Su Yim (임종수); Dong-Hyeon Kim (김동현); Chi-Ung Ko (고치웅); Donggeun Kim (김동근); Hyung-Ju Cho (조형주)

doi:10.9708/jksci.2023.28.02.099

Design and Implementation of System for Estimating Diameter at Breast Height and Tree Height using LiDAR point cloud data

Journal of The Korea Society of Computer and Information
Abbr : JKSCI
2023, 28(2), pp.99-110
DOI : 10.9708/jksci.2023.28.02.099
Publisher : The Korean Society Of Computer And Information
Research Area : Engineering > Computer Science
Received : January 26, 2023
Accepted : February 15, 2023
Published : February 28, 2023

Jong-Su Yim ¹, Dong-Hyeon Kim ², Chi-Ung Ko ¹, Donggeun Kim ², Hyung-Ju Cho ²

¹국립산림과학원
²경북대학교

Accredited

ABSTRACT

In this paper, we propose a system termed ForestLi that can accurately estimate the diameter at breast height (DBH) and tree height using LiDAR point cloud data. The ForestLi system processes LiDAR point cloud data through the following steps: downsampling, outlier removal, ground segmentation, ground height normalization, stem extraction, individual tree segmentation, and DBH and tree height measurement. A commercial system, such as LiDAR360, for processing LiDAR point cloud data requires the user to directly correct errors in lower vegetation and individual tree segmentation. In contrast, the ForestLi system can automatically remove LiDAR point cloud data that correspond to lower vegetation in order to improve the accuracy of estimating DBH and tree height. This enables the ForestLi system to reduce the total processing time as well as enhance the accuracy of accuracy of measuring DBH and tree height compared to the LiDAR360 system. We performed an empirical study to confirm that the ForestLi system outperforms the LiDAR360 system in terms of the total processing time and accuracy of measuring DBH and tree height.

KEYWORDS

LiDAR point cloud data, Diameter at breast height, Tree height, Terrestrial LiDAR, Software

Citation status

* References for papers published after 2023 are currently being built.

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This paper was written with support from the National Research Foundation of Korea.

KJCKorea
Journal Central

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design and Implementation of System for Estimating Diameter at Breast Height and Tree Height using LiDAR point cloud data

ABSTRACT

KEYWORDS

Citation status

* References for papers published after 2023 are currently being built.

Journal of The Korea Society of Computer and Information 2023 KCI Impact Factor : 0.65

Design and Implementation of System for Estimating Diameter at Breast Height and Tree Height using LiDAR point cloud data

ABSTRACT

KEYWORDS

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* References for papers published after 2023 are currently being built.