Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system

• 作者: Hui Zeng Jie Zhang Shuxin Pang Xiangwu Chen Yuyang Xie Zehao Shen
• 来源期刊: 森林生态系统（英文版）
• 年，卷（期）: 2020,（3）
• 页码范围: 421-431
• 页数: 11页
• 语种: 英文

摘要

Background:The LiBackpack is a recently developed backpack light detection and ranging (LiDAR) system that combines the flexibility of human walking with the nearby measurement in all directions to provide a novel and efficient approach to LiDAR remote sensing, especially useful for forest structure inventory. However, the measurement accuracy and error sources have not been systematically explored for this system. Method:In this study, we used the LiBackpack D-50 system to measure the diameter at breast height (DBH) for a Pinus sylvestris tree population in the Saihanba National Forest Park of China, and estimated the accuracy of LiBackpack measurements of DBH based on comparisons with manually measured DBH values in the field. We determined the optimal vertical slice thickness of the point cloud sample for achieving the most stable and accurate LiBackpack measurements of DBH for this tree species, and explored the effects of different factors on the measurement error. Result:1) A vertical thickness of 30 cm for the point cloud sample slice provided the highest fitting accuracy (adjusted R2=0.89, Root Mean Squared Error (RMSE)=20.85 mm);2) the point cloud density had a significant negative, logarithmic relationship with measurement error of DBH and it explained 35.1％of the measurement error;3) the LiBackpack measurements of DBH were generally smaller than the manually measured values, and the corresponding measurement errors increased for larger trees;and 4) by considering the effect of the point cloud density correction, a transitional model can be fitted to approximate field measured DBH using LiBackpack-scanned value with satisfactory accuracy (adjusted R2=0.920;RMSE=14.77 mm), and decrease the predicting error by 29.2％. Our study confirmed the reliability of the novel LiBackpack system in accurate forestry inventory, set up a useful transitional model between scanning data and the traditional manual-measured data specifically for P. sylvestris, and implied the applicable substitution of this new approach for more species, with necessary parameter calibration.

作者信息

序号	姓名	单位	发文数	被引次数	H指数	G指数
1	Yuyang Xie	中国科学院植物研究所	1	0	0.0	0.0
2	Jie Zhang	中国科学院植物研究所	1	0	0.0	0.0
3	Xiangwu Chen	中国科学院植物研究所	1	0	0.0	0.0
4	Shuxin Pang	中国科学院植物研究所	1	0	0.0	0.0
5	Hui Zeng	中国科学院植物研究所	1	0	0.0	0.0
6	Zehao Shen	中国科学院植物研究所	1	0	0.0	0.0