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Forest inventories collect feature data manually on terrestrial field plots. Measuring large amounts of breast height diameters and treepositions is time consuming. Terrestrial laser scanning could be an additional instrument to collect precise and full inventory data inthe 3D space. As a preliminary assumption single scan data is used to evaluate a minimal data acquisition scheme. To extractfeatures like trees and diameter from the scanned point cloud, a simple geometric model world is defined in 3D. Trees are cylindershapes vertically located on a plane. Using a RANSAC-based segmentation approach, cylinders are fitted iteratively in the pointcloud. Several threshold parameters increase the robustness of the segmentation model and extract point clouds of single trees, whichstill contain branches and the tree crown. Fitting circles along the stem using point cloud slices allows to refine the effective diameterfor customized heights. The cross section of a single tree point cloud covers only the semi circle towards the scan location, but is stillcontiguous enough to estimate diameters by using a robust circle fitting method

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

Model Based Automatic Segmentation Of Tree Stems From Single Scan Data