Forest and Grassland Resources Research >
Estimation of Single Wood Factor of Picea schrenkiana var.tianshanica Forest Based on Backpack LiDAR
Received date: 2021-02-09
Revised date: 2021-03-25
Online published: 2021-06-03
High precision lossless rapid estimation of single wood factor is very important for forest resource monitoring and evaluation.Backpack lidar has good application potential in obtaining 3D forest structure parameters.The study takes Picea schrenkiana var.tianshanica forest as the research object,trying to obtain the point cloud data by backpack LiDAR scanning sample for single wood segmentation and estimation of single wood DBH,tree height and crown area.The accuracy evaluation and correlation test are carried out with the reference of ground measurement and visual interpretation data.The results show that:the precision F values of single wood segmentation using backpack LiDAR data are greater than 0.90,the average accuracy and recall are 0.96 and 0.90,respectively.The average recognition rate is 86.61%.R2 coefficient of determination of DBH and tree height is greater than 0.90,the average value of the DBH root mean square error is 1.11 and the height of the tree is 1.05;R2 coefficient of determination for area estimation of single crown is greater than 0.80,the average value of the root mean square error is 3.21.Therefore,using backpack LiDAR can achieve high precision extraction of single wood DBH and tree height parameters.
Qin QIU , Wenge ZHANG , Lei WANG , Shanshan CAO , Wei SUN . Estimation of Single Wood Factor of Picea schrenkiana var.tianshanica Forest Based on Backpack LiDAR[J]. Forest and Grassland Resources Research, 2021 , 0(2) : 99 -109 . DOI: 10.13466/j.cnki.lyzygl.2021.02.014
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