Have a personal or library account? Click to login

Evaluation of the quality of standing trees using an Arbotom acoustic stress tomograph

Open Access
|Feb 2025

References

  1. Brüchert, F., Holz, S., Biechele, T., Rinn, F., Sauter, U. H., 2013: Tomography of the internal structure of roundwood – a comparison of x-ray based computed tomography and stress wave. Conference: Proceedings 18th International Nondestructive Testing and Evaluation of Wood Symposium Madison, Wisconsin, USA, p. 729−737.
  2. Deflorio, G., Sambuelli, L., Socco, L., 2008: Detection of incipient decay in tree stems with sonic tomography after wounding and fungal inoculaiton. Wood Science and Technology, 42:117−132.
  3. Du, X., Zheng, Y., Feng, H., 2024: Optimizing Sensor Positions in the Stress Wave Tomography of Internal Defects in Hardwood. Forests, 15:465.
  4. Fang, Y., Feng, H., Li, J., Li, G., 2011: Stress wave signal denoising using ensemble empirical mode decomposition and an instantaneous half period model. Sensors, 11:7554−7567.
  5. Gejdoš, M., Suchomel, J., Potkány, M., 2014: Software “Image J” Application in Evaluating the Quality of Extracted Raw Wood Assortments. Drvna Industrija, 65:105−113.
  6. Gejdoš, M., Gergeľ, T., Bucha, T., Vyhnáliková, Z., 2019: Possibilities of image analysis for quality wood sorting. Central European Forestry Journal, 65:218−222.
  7. Gejdoš, M., Suchomel, J., Danihelová, Z., 2021: Analysis of Qualitative Features of Beech and Oak Trunks as a Determinant of the Quality Assessment. Forests, 12:15.
  8. Gejdoš, M., Gergeľ, T., Michajlová, K., Bucha, T., Gracovský, R., 2023a: The Accuracy of CT Scanning in the Assessment of the Internal and External Qualitative Features of Wood Logs. Sensors, 23:8505.
  9. Gejdoš, M., Michajlová, K., Gretsch, D., 2023b: The use of the acoustic tomograph and digital image analysis in the qualitative assessment of harvested timber − case study. Central European Forestry Journal, 69:106−111.
  10. Grigorev, I., Shadrin, A., Katkov, S., Borisov, V., Druzyanova, V., Gnatovskaya, I. et al., 2021. Improving the quality of sorting wood chips by scanning and machine vision technology. Journal of Forest Science, 67:212−218.
  11. Johnstone, D., Moore, G., Tausz, M., Nicolas, M., 2010: The measurement of wood decay in landscape trees. Arboriculture & Urban Forestry, 36:121−127.
  12. Kankare, V., Vauhkonen, J., Tanhuanpää, T., Holopainen, M., Vastaranta, M., Joensu, M. et al., 2014: Accuracy in estimation of timber assortments and stem distribution – a comparison of airborne and terrestrial laser scanning techniques. Journal of Photo-grammetry and Remote Sensing, 97:89−97.
  13. Korhonen, K., Kuliešis, A., Kulbokas, G., 2016: Stem quality assessment in European National Forest Inventories: an opportunity for harmonised reporting? Annals of Forest Science, 73:635−648.
  14. Li, L., Wang, X., Wang, L., Allison, R., 2012: Acoustic tomography in relation to 2D ultrasonic velocity and hardness mappings. Wood Science and Technology, 46:551−561.
  15. Liang, S., Fu, F., 2014: Effect of sensor number and distribution on accuracy rate of wood defect detection with stress wave tomography. Wood Research, 59:521−531.
  16. Lin, C. J., Chang, T. T., Juan, M. Y., Lin, T., Tseng, C., Wang, Y., 2011a: Stress wave tomography for the quantification of artificial hole detection in camphor trees (Cinnamomum camphora). Taiwan Journal of Forest Science, 26:17−32.
  17. Lin, C. J., Chang, T. T., Juan, M. Y., 2011 b: Detecting deterioration in royal palm (Roystonea regia) using ultrasonic tomographic and resistance microdrilling techniques. Journal of Tropical Forests Science, 23:260−270.
  18. Ondrejka, V., Gergeľ, T., Bucha, T., Pástor, M., 2021: Innovative methods of non-destructive evaluation of log quality. Central European Forestry Journal, 67:3−13.
  19. Qin, R., Qiu, Q., Lam, J. H. M., Tang, A. M. C., Leung, M. W. K., Lau, D., 2018: Health assessment of tree trunk by using acoustic-laser technique and sonic tomography. Wood Science and Technology, 52:113−1132.
  20. Rabe, C., Ferner, D., Fink, S., Schwarze, F., 2012: Detection of decay in trees with stress waves and interpretation of acoustic tomograms. The International Journal of Urban Forestry, 28:3-19.
  21. Reinprecht, L., Hrivnák, J., 2012: Ultrazvuková a vŕtaniu odporová defektoskopia ihličnatej a listnatej guľatiny. Acta Facultatis Xylologiae, 54:43−54. (In Slovak).
  22. Taube, P., Orlowski, K. A., Chuchala, D., Sandak, J., 2020: The Effect of log sorting strategy on the forecasted lumber value after sawing pine wood. Acta Facultatis Xylologiae Zvolen, 62:89−102.
  23. Van Leeuwen, M., Hilker, T., Coops, N. C., Frazer, G., Wulder, M. A., Newham, G. J. et al., 2011: Assessment of standing wood and fiber quality using ground and airborne laser scanning: A review. Forest Ecology and Management, 261:1467−1478.
  24. Wang, X., Allison, R., 2008: Decay detection in red oak trees using a combination of visual inspection, acoustic testing, and resistance microdrilling. Arboriculture & Urban Forestry, 34:1−4.
  25. Wang, X. P., 2021: Recent Advances in Nondestructive Evaluation of Wood: In-Forest Wood Quality Assessments. Forests, 12:949.
  26. STN EN 1309-3, 2018: Round and sawn timber − Methods of measurements − Part 3: Features and biological degradations.
DOI: https://doi.org/10.2478/forj-2024-0019 | Journal eISSN: 2454-0358 | Journal ISSN: 2454-034X
Language: English
Page range: 65 - 72
Published on: Feb 6, 2025
Published by: National Forest Centre – Forest Research Institute Zvolen
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year

© 2025 Katarína Michajlová, Miloš Gejdoš, Tomáš Gergeľ, Dominik Gretsch, published by National Forest Centre – Forest Research Institute Zvolen
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.