文献类型：期刊文献

英文题名：Retrieval and Accuracy Assessment of Tree and Stand Parameters for Chinese Fir Plantation Using Terrestrial Laser Scanning

作者：Sun, Hua[1] Wang, Guangxing[1,2] Lin, Hui[1] Li, Jiping[1] Zhang, Huaiqing[3] Ju, Hongbo[3]

第一作者：Sun, Hua

通信作者：Sun, H[1]

机构：[1]Cent South Univ Forestry & Technol, Res Ctr Forest Remote Sensing & Informat Engn, Changsha 410004, Hunan, Peoples R China;[2]South Illinois Univ, Dept Geog, Carbondale, IL 62901 USA;[3]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份：2015

卷号：12

期号：9

起止页码：1993-1997

外文期刊名：IEEE GEOSCIENCE AND REMOTE SENSING LETTERS

收录：;EI(收录号：20153301177160);Scopus(收录号：2-s2.0-85027943800);WOS:【SCI-EXPANDED(收录号:WOS:000359579000039)】；

基金：This work was supported in part by the Ministry of Science and Technology of China through the national "863" Project "Study on key technologies of digital forest resources monitoring" under Grant 2012AA102001 and in part by the China Postdoctoral Science Foundation Project under Grant 2014M562147. The work of G. Wang was supported by the Central South University of Forestry and Technology (0990).

语种：英文

外文关键词：Accuracy assessment; estimation; point cloud data; terrestrial laser scanning (TLS); tree and stand parameters

摘要：Compared with airborne laser scanning, terrestrial laser scanning (TLS) offers ground-based point cloud data of trees and provides greater potential to accurately estimate tree and stand parameters. However, there is a lack of effective methods to accurately identify locations of individual trees from TLS point cloud data. It is also unknown whether the estimation accuracy of the parameters, including tree height (H), diameter at breast height (DBH), and so on, using TLS can meet the requirement of forest management and planning. In this letter, a novel method to effectively process point cloud data and further determine the locations of individual trees in a stand based on the central coordinates of point cloud data on a defined grid according to the largest DBH was developed. Moreover, a point-cloud-data-based convex hull algorithm and the cylinder method were, respectively, used to estimate DBH and H of individual trees. This study was conducted in a pure Chinese fir plantation of 45 trees located in Huang-Feng-Qiao forest farm, You County of Hunan, China. The comparison of the estimated and observed values showed that the obtained tree locations had errors of less than 20 cm, and the relative root mean square errors for the estimates of both DBH and H were less than 5%. This implies that TLS is very promising for the retrieval of tree and stand parameters in forest stands. For the applications of these methods to mixed forests with a structure of multilayer canopies, further examination is needed.