内蒙古农业大学学报（自然科学版）2026，Vol.47Issue(1)：17-23,7.DOI:10.16853/j.cnki.1009-3575.2026.01.003
基于背包式激光雷达大兴安岭天然林胸径和树高提取
Extraction of DBH and Tree Height of Natural Forests in Greater Khingan Mountains Based on Backpack Lidar
摘要
Abstract
Backpack LiDAR has great potential for application in forest resource surveys due to its low cost,labor-saving capabili-ties,and high efficiency.However,the application of backpack LiDAR in the extraction of parameters from single trees in natural forests with dense forest stands and large sample areas has not been reported.In this paper,a 1 hm2 natural forest sample plot was di-vided into three scales,i.e.,large,medium and small.Point cloud data were collected by scanning the sample plot with backpack LiDAR,and the diameter at breast height(DBH)and tree height were extracted through segmentation and identification of individu-al trees.The segmentation accuracy and correlation analyses of the results were carried out based on the field measurement data.The results showed that the average value of the precision of single tree segmentation using backpack LiDAR data was 0.80,the aver-age values of accuracy and recall were 0.76 and 0.84,and the average value of recognition rate was 66.84%.The average values of the coefficient of determination R2 for the extraction of single tree diameter at breast height and tree height were 0.92 and 0.67,and the average values of the root-mean-square error(RMSE)were 1.40 cm and 3.03 m.These findings suggested that the backpack Li-DAR could effectively identify single trees and measure tree height in dense natural forests,although there was still room for improve-ment in extraction accuracy.To achieve more accurate results,it was recommended to combine backpack LiDAR with other types of LiDAR data.关键词
背包式激光雷达/单木参数/胸径/树高Key words
Backpack LiDAR/Single wood parameters/Diameter at breast height/Tree height分类
农业科技引用本文复制引用
李敏,塔娜,刘晟玮,张昊,王雨峰,郝帅,萨如拉..基于背包式激光雷达大兴安岭天然林胸径和树高提取[J].内蒙古农业大学学报（自然科学版）,2026,47(1):17-23,7.基金项目
国家自然科学基金项目(32460388) （32460388）
内蒙古自治区自然科学基金面上项目(2023MS03051) （2023MS03051）
