Abstract
Abstract. Woody biomass is an important parameter in forestry and forest research. In order to estimate of woody biomass, it is important to precisely and efficiently calculate section areas and volumes of tree stems in the forest. In this paper, we propose a method for calculating the cross-sectional area and the stem volume of trees from point clouds captured using the terrestrial laser scanner. In our method, each point cloud is converted into a wireframe model, and cross-section points are calculated as intersection between the wireframe and the horizontal planes placed at equal intervals. Cross-sectional shapes on each horizontal plane are approximated as n-sided polygons and refined using the subdivision scheme. The section areas and stem volumes are calculated using the subdivision curves of stem contours. In our evaluation, our method could calculate section areas and stem volumes of trees with sufficient accuracy in practical use.
Highlights
Woody biomass is an important parameter in forestry and forest research (Hanaoka, et al, 2005, Lauri, et al, 2014)
We proposed a method to represent section shapes of stems using subdivision curves
Each point cloud was mapped on the 2D grid, and it was converted to a wireframe model by connecting adjacent points
Summary
Woody biomass is an important parameter in forestry and forest research (Hanaoka, et al, 2005, Lauri, et al, 2014). For estimation of woody biomass, it is important to precisely and efficiently calculate section areas and volumes of tree stems in the forest. By using TLS, point clouds of trees can be captured densely and accurately. Section areas and volumes are typically calculated as approximated circles and cylinders. In actual trees, cross sections of trees may not be circles and the stems are not necessarily vertical, as shown in Figure 1 and 2. In order to accurately calculate woody biomass, it is necessary to generate faithful models of 2D cross sections and 3D shapes of tree stems
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