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46   TECHNOLOGY                                                                   JUL/AUG 2024 FDM ASIA | www.fdmasia.com






         pxhere.com                                          required information.
                                                                There are two main types of laser scanners: Airborne
                                                             Laser Scanners (ALSs), mounted on aerial vehicles, and
                                                             Terrestrial Laser Scanners (TLSs), ground-based instruments.

                                                             ALSs are less suitable for evaluating stem attributes beyond
                                                             dimensions and are primarily used for biomass and forest
                                                             structure investigations.
                                                                TLSs have been tested for evaluating stem form and
          individually, while qualitative assessments define a class based   branchiness, and some studies are available for stem defect
          on rules providing different admissibility criteria for the several   detection.  Currently,  both  static  (mounted on  tripods)  and
          attributes to be assigned to the various classes.   mobile (hand-held or worn in a backpack) TLSs are available.
            Quantitative surveys are more time- and resource-intensive   Further technical and operational details on TLSs are
          but allow for a more accurate prediction of quality.   reviewed.

            On the other hand, qualitative assessment can be quicker   The results indicated that visual classification was ineffective
          but  requires greater  harmonisation  efforts  due  to  historical   for distinguishing stem form and lean qualitatively, as no
          differences in criteria among countries or local customs.  significant differences were detected among the classes. TLSs
            Several qualitative assessment procedures  focus  on the   provided more precise results for use in stem quality grading.
          first 5–6 m of the tree height due to cost considerations and   Similar comparisons were conducted by Mengesha et al.
          because the greatest value is often concentrated in this part   for the taper, sweep, and lean of ash stems calculated from
          of the stem, especially for broad-leaved trees.    TLS data and manually in the field. They observed superior

            Visual characteristic measurement can be manual, where   results when the laser scanner survey was performed during
          an operator detects the parameters of interest, but this is   the leaf-off season.
          expensive and, especially for some particularly burdensome   In a study on Scots pine, Pyörälä et al. compared geometric
          attributes (for example, branchiness), impractical for large-  data (diameter, volume, taper, and sweep) obtained from
          scale surveys. An alternative involves recording the quality   point clouds on standing trees with the same measurements
          class of each analysed tree, which is faster but leads to the   taken at the sawmill at the log level using an operational
          problems mentioned above and can be influenced by operator   laser scanner. They found that dimensional data from stem
          experience and subjectivity.                       and log assessments were closely correlated, but the same
            Over time, promising technologies have emerged to   was not true for sweep, which was difficult to predict from

          automate survey work, making it faster but still detailed,   standing trees.
          enabling large-scale implementation. These can be categorised   Numerous studies have examined the viability of assessing
          as laser-based or image-based techniques.          branch characteristics using laser scanner technology.
            One widely used technology for qualitatively evaluating   For  instance,  in  Scots  pine,  the  attributes  of  the  whorls
          stem characteristics is the  laser scanner. Very briefly,  laser   (number, position, and max diameter) were extracted from a
          scanners measure distances between objects in the environment   TLS survey and compared with the same variables obtained
          and the sensor and generate point clouds that reconstruct   by X-ray analysis on cut logs.

          detected objects in a highly accurate way. These point clouds   Branch attributes were not directly comparable with knot
          can be processed using various algorithms to extract the   features  derived  from  the  logs,  partly  due  to  measurement
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