Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system
文献类型：期刊论文
| 作者 | Xie, Yuyang; Zhang, Jie; Chen, Xiangwu1; Pang, Shuxin3; Zeng, Hui; Shen, Zehao1 |
| 刊名 | FOREST ECOSYSTEMS
 |
| 出版日期 | 2020 |
| 卷号 | 7期号:1 |
| 关键词 | Adaptive cylinder fitting Diameter at breast height LiBackpack Point cloud slice Point density Transitional model |
| ISSN号 | 2095-6355 |
| DOI | 10.1186/s40663-020-00237-0 |
| 文献子类 | Article |
| 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 R-2 = 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 R-2 = 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. |
| 学科主题 | Forestry |
| 出版地 | NEW YORK |
| 电子版国际标准刊号 | 2197-5620 |
| WOS关键词 | LASER-SCANNING TLS ; POINT CLOUDS ; TERRESTRIAL ; STEM ; BIOMASS ; DBH ; ALGORITHM ; ECOLOGY ; GROWTH |
| WOS研究方向 | Forestry |
| 语种 | 英语 |
| WOS记录号 | WOS:000531702100001 |
| 出版者 | SPRINGER |
| 资助机构 | Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41790425, 41971228] |
| 源URL | [http://ir.ibcas.ac.cn/handle/2S10CLM1/21766]  |
| 专题 | 植被与环境变化国家重点实验室 |
| 作者单位 | 1.Peking Univ, Sch Urban Planning & Design, Shenzhen Grad Sch, Shenzhen 518055, Peoples R China 2.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China 3.Peking Univ, Coll Urban & Environm Sci, Inst Ecol, MOE Lab Earth Surface Proc, Beijing 100871, Peoples R China |
| 推荐引用方式 GB/T 7714 | Xie, Yuyang,Zhang, Jie,Chen, Xiangwu,et al. Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system[J]. FOREST ECOSYSTEMS,2020,7(1). |
| APA | Xie, Yuyang,Zhang, Jie,Chen, Xiangwu,Pang, Shuxin,Zeng, Hui,&Shen, Zehao.(2020).Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system.FOREST ECOSYSTEMS,7(1). |
| MLA | Xie, Yuyang,et al."Accuracy assessment and error analysis for diameter at breast height measurement of trees obtained using a novel backpack LiDAR system".FOREST ECOSYSTEMS 7.1(2020). |
入库方式： OAI收割
来源：植物研究所
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