Updating the procedure of tree trunk diameter measurement based on a robust design
摘要
The article considers the development of urbanized areas in terms of urban green space management. The efficiency of this management depends on the reliability of measurement data on the dendrometric parameters of trees, which includes the tree trunk diameter. Municipal regulations on the creation, maintenance, and protection of green areas establish requirements for the accuracy of tree trunk diameter measurements. Modern methods and means of tree trunk diameter measurement, which are used in the monitoring and inventory survey of urban green spaces, are analyzed. The existing measurement procedures are ineffective due to the wide variety of tree species (including unique species) and the need to take into account the effect of numerous factors on the growth of each tree. The authors consider the advantages of using a mobile laser scanner in measuring the diameter of a tree trunk using its three-dimensional measurement model. The main sources of error associated with measuring the tree trunk diameter in urban green areas by means of a ZEB Horizon scanner are described. In order to update the procedure for measuring the tree trunk diameter by means of the ZEB Horizon scanner during green space inventory, it is proposed to apply a robust design. To generalize and graphically interpret the cause-and-effect relationships between the sources of error, an Ishikawa diagram was constructed. The diagram revealed sources whose effect on the error in measuring the tree trunk diameter should be evaluated during the experiment: “Track type,” “Distance between two adjacent passes,” “Convergence,” and “Rigidity.” The results of the robust design in updating the procedure for measuring the tree trunk diameter by means of the ZEB Horizon scanner are presented. The optimal conditions for the geodetic survey of urban green areas were specified: track type, i.e., “Road and path network” or “Spiral path”; distance between two adjacent passes of 4–20 m; maximum “Convergence” score of 4–5 in the processing of primary data with the use of specialized software; “Rigidity” score of 0–5, based on the data on the presence of understory and shrub vegetation. The draft measurement procedure specifies steps necessary to prepare for tree trunk diameter measurements and perform them during green space inventory.