期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 5
页码：92-97
出版社：Copernicus Publications
摘要：Meteorological simulation tools to model gas exchange phenomena within forests require well defined information of forest structure (e.g., 3D forest models) as a basis for the computation of the turbulent flow shaped by the drag of the vegetation. The paper describes techniques to obtain 3D data describing forest stands from dense terrestrial laser scanner point clouds. In a first step, stems are automatically detected from the laser scanner data, forming a basis for the determination of tree density, distance patterns and average stem distance. In a second step, the 3D point cloud is translated into a voxel structure representing the forest. A method to segment voxel clusters with the goal of a tree wise interpretation, is presented. From this voxel structure, drag coefficients can be derived via the local density and distribution of stems, branches and leaves. Therefore different voxel attributes are calculated
