期刊
REMOTE SENSING
卷 10, 期 5, 页码 -出版社
MDPI
DOI: 10.3390/rs10050749
关键词
diameter at breast height (DBH); mobile laser scanning (MLS); mensuration; allometry; forest biometrics
类别
资金
- National Natural Science Foundation of China [41471281, 31670718, 41401515]
- Research Fund for Youth Innovation Program of Remote Sensing Science and Technology
- SRF
This study aimed to improve one basic circle of allometry-based forest biometricsdiameter at breast height (DBH) mensuration. To address its common shortage of low efficiency in field measurement, this study attempted mobile laser scanning (MLS) as an efficient alternative and proposed a new MLS-based DBH mensuration algorithm to further exclude the effect of stem bending. That is, prior to the procedure of cone-based geometric modeling of a tree stem, an operation of Aligning the local stem axis series that is calculated by the Successive Cone-based Fitting of those continuously equi-height-layered laser points on the stem (ASCF) is appended. In the case of an urban boreal forest, tests showed that the proposed algorithm worked better (the coefficient of determination, R-2 = 0.81 and root mean square error, RMSE = 52.1 mm) than the circle- (0.16 and 189.4 mm), cylinder- (0.77 and 58.7 mm), and cone-based (0.77 and 56.7 mm) geometric modeling algorithms. From a methodological viewpoint, the new ASCF algorithm was preliminarily validated for MLS-based tree DBH mensuration, with the cornerstone-rebuilding significance for allometry-based forest biometrics. With the development of MLS variants available for complex forest environments, this study will contribute fundamental implications for advancements in forestry.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据