北京测绘2025，Vol.39Issue(5)：581-585,5.DOI:10.19580/j.cnki.1007-3000.2025.05.001
机载LiDAR归一化冠层高度模型植株提取
Plant extraction using airborne LiDAR normalized canopy height model
摘要
Abstract
In response to the challenges of extracting geometric features of individual tree canopies due to the diversity and complexity of naturally grown plant species,this study utilized three-dimensional point cloud data obtained from unmanned aerial vehicle(UAV)-based light detection and ranging(LiDAR).By applying the normalized canopy height model,the study performed individual tree canopy segmentation for naturally grown plants,extracting information such as tree position,height,crown diameter,and crown area.Field measurement data was used to evaluate segmentation accuracy based on metrics such as recall rate,precision rate,accuracy,under-segmentation rate,and over-segmentation rate.The overall detection accuracy for individual tree positions reaches 83%,with both recall and precision rates exceeding 75%.A high correlation is observed between various canopy structural parameters at a significance level of 0.01,and individual tree height shows a high level of fit with actual height.The study demonstrates that airborne LiDAR data can accurately identify individual tree positions in naturally grown vegetation and extract tree information,providing robust technical support for forest health monitoring and biomass calculation.关键词
机载激光雷达(LiDAR)/归一化冠层高度模型/单木/冠层结构Key words
airborne light detection and ranging(LiDAR)/normalized canopy height model/individual tree/canopy structure分类
测绘与仪器引用本文复制引用
江济强,李琴,夏进亮,姚乃文..机载LiDAR归一化冠层高度模型植株提取[J].北京测绘,2025,39(5):581-585,5.基金项目
广东省科技计划(2021B1212100003) （2021B1212100003）
广东省自然资源厅科技项目(GDZRZYKJ-ZC2020003). （GDZRZYKJ-ZC2020003）
