The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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Articles | Volume XLIII-B2-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 205–210, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-205-2020
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B2-2020, 205–210, 2020
https://doi.org/10.5194/isprs-archives-XLIII-B2-2020-205-2020

  12 Aug 2020

12 Aug 2020

PRECISE CALCULATION OF CROSS SECTIONS AND VOLUME FOR TREE STEM USING POINT CLOUDS

S. Eto1, H. Masuda1, Y. Hiraoka2, M. Matsushita2, and M. Takahashi2 S. Eto et al.
  • 1University of Electro-Communications, Japan
  • 2Forest Tree Breeding Center, Forestry and Forest Products Research Institute, Japan

Keywords: Forest, Traits, terrestrial LiDAR, Point-Cloud, Stem Cross-Section, Stem Volume

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.