华南农业大学学报2025，Vol.46Issue(3)：379-389,11.DOI:10.7671/j.issn.1001-411X.202406034
基于树木定量结构模型的单木参数提取及生物量估测
Individual tree parameter extraction and biomass estimation based on the quantitative structure model
摘要
Abstract
[Objective]This article takes the deciduous broad-leaved forest in the Tianma National Nature Reserve in Anhui Province as the research subject,exploring the application potential of the quantitative structure model in biomass estimation of individual tree in complex environment using unmanned aerial vehicle laser scanning data.[Method]Through ground surveys and the use of unmanned aerial vehicles,plot data and LiDAR point cloud data were collected,with the ground data serving as the reference measurements.The comparative shortest-path algorithm was used for point cloud segmentation.Subsequently,tree parameters(such as diameter at breast height,trunk volume,branch volume,number of branches,canopy base height,canopy area,canopy volume,and crown width)were extracted from the segmented individual tree point clouds using the quantitative structure model.Pearson correlation coefficient and variance inflation factor were then employed for variable selection of the parameters.Finally,an individual tree biomass estimation model was constructed based on the three machine learning algorithms.[Result]Among the biomass models,the one based on random forest(RF)achieved the best training performance(R2=0.880 0,RMSE=192.81 kg,rRMSE=29.88%).The performance of the multilayer perceptron(MLP)model(R2=0.820 0,RMSE=233.62 kg,rRMSE=36.65%)was quite similar to that of the support vector machine(SVM)model(R2=0.810 0,RMSE=243.67 kg,rRMSE=37.77%).[Conclusion]This article confirms that the tree parameters extracted from the quantitative structure model can be used to construct a high-precision biomass estimation model for deciduous broadleaf species,providing a new method for resource surveys in complex forest environment.关键词
无人机激光雷达/树木定量结构模型/生物量估测/树木参数Key words
Unmanned aerial vehicle laser scanning/Quantitative structure model/Biomass estimation/Tree parameter分类
农业科技引用本文复制引用
于磊,徐佳佳,倪辰,孔令瑗,黄庆丰,刘华,唐雪海..基于树木定量结构模型的单木参数提取及生物量估测[J].华南农业大学学报,2025,46(3):379-389,11.基金项目
安徽省林业科技创新研究项目(AHLYCX-2022-5,AHLYCX-2022-11) （AHLYCX-2022-5,AHLYCX-2022-11）
