摘要
背包式激光雷达在森林资源调查中具有很大的应用潜力,具有成本低、节省人力、效率高等优势。但背包式激光雷达在林分密集、样地面积大的天然林单木参数提取的技术应用方面未见报道。本文将1 hm^(2)天然林样地分为大、中、小3个尺度,采用背包式激光雷达扫描样地收集点云数据,通过对单株树木分割识别提取胸径与树高,依据实地测量数据,将测量结果进行分割精度评估和相关性分析。结果表明:背包式激光雷达数据单木分割的精度平均值为0.80,准确率和召回率均值分别为0.76和0.84,识别率均值为66.84%;单木胸径和树高提取结果决定系数R^(2)均值分别为0.92和0.67,均方根误差RMSE均值分别为1.40 cm和3.03 m。可见,背包式激光雷达在密集天然林分中可以用于样地单木识别,但其提取精度尚存在提升空间。为了获得更精确的分析结果,建议结合其他类型的激光雷达数据一同使用。
Backpack LiDAR has great potential for application in forest resource surveys due to its low cost,labor-saving capabilities,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 hm^(2)natural forest sample plot was divided 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 individual 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 average 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 R^(2)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 LiDAR could effectively identify single trees and measure tree height in dense natural forests,although there was still room for improvement in extraction accuracy.To achieve more accurate results,it was recommended to combine backpack LiDAR with other types of LiDAR data.
作者
李敏
塔娜
刘晟玮
张昊
王雨峰
郝帅
萨如拉
LI Min;Tana;LIU Shengwei;ZHANG Hao;WANG Yufeng;HAO Shuai;Sarula(College of Forestry,Inner Mongolia Agricultural University,Hohhot O10019,China;National Field Scientific Observation and Research Station of Greater Khingan Forest Ecosystem,Genhe O22350,China)
出处
《内蒙古农业大学学报(自然科学版)》
北大核心
2026年第1期17-23,共7页
Journal of Inner Mongolia Agricultural University(Natural Science Edition)
基金
国家自然科学基金项目(32460388)
内蒙古自治区自然科学基金面上项目(2023MS03051)。
关键词
背包式激光雷达
单木参数
胸径
树高
Backpack LiDAR
Single wood parameters
Diameter at breast height
Tree height
