森林工程2025,Vol.41Issue(5):936-947,12.DOI:10.7525/j.issn.1006-8023.2025.05.007
基于无人机激光雷达的人工红松直径分布模型
Diameter Distribution Model of Korean Pine Plantation by Using UAV-LiDAR
摘要
Abstract
Stand diameter distribution is one of the most important indicators reflecting stand structure,aiding in estimat-ing forest biomass,timber yield,and evaluating stand stability.Unmanned aerial vehicle(UAV)-LiDAR technology pro-vides high-precision three-dimensional spatial information,offering a new technical approach for large-scale and continu-ous predictions of stand diameter distributions.This study utilized UAV-LiDAR derived features and measured diameter distributions as data sources to develop Weibull diameter distribution models using three parameter prediction methods:the parameter prediction method,percentile-based parameter recovery method,and moment-based estimation parameter recovery method.The model's performance was evaluated through multiple metrics including,R2,RMSE,MAE,EIP,and EIR,ultimately identifying the optimal Weibull model for Korean pine planatation diameter distributions.The precision of Weibull parameter predictions based on UAV-LiDAR data showed an R2 ranging from 0.51 to 0.71.The diameter dis-tribution models established by the three parameter prediction methods can predict the diameter distribution of the stand,and the parameter prediction method performed best(EIR=57.384,EIP=0.319).UAV-LiDAR technology effectively ad-dresses the limitations of conventional surveys,such as low data acquisition efficiency and restricted spatial coverage,providing a robust technical foundation for reliable predictions of stand diameter distributions.关键词
无人机激光雷达/红松人工林/Weibull函数/参数预测方法/直径分布模型Key words
UAV-LiDAR/Korean pine plantation/Weibull function/parameter estimation method/diameter distribu-tion model分类
农业科技引用本文复制引用
吕浩冉,朱泊东,杨瑞轲,金星姬..基于无人机激光雷达的人工红松直径分布模型[J].森林工程,2025,41(5):936-947,12.基金项目
国家自然基金面上项目(32071758). (32071758)