In this master thesis the use of ultrasound on standing trees to detect inner anomalies has been studied. Standing trees of beech and Norway spruce were measured with ultrasound in forest stands, outer characteristics of trees were also recorded. Logs of sycamore maple with and without fiddleback figure were also measured using ultrasound. 7 measuring directions were tested in two planes. 7 new variables were created using frequency spectrum. Presence of rot in spruce and of red heart in beech significantly impact speed of sound and the frequency spectrum. Presence of anomalies lowered ultrasound velocity in both species. Probability of red heart presence increases with breast height diameter and number increased with tree forking. Speed of ultrasound is not usable in predicting presence of red heart in beech. Frequency spectrum variables contribute to predicting red heart presence, as model accuracy improves after including them from 80 % to 81,8 %. Presence of previously inflicted injuries and low speeds of sound in tangential plane increases probability of rot presence in spruce, the developed model accurately classifies 88,5 % cases. To speed up the measurement process speeds of ultrasound were excluded from the model, the new model is accurate in 87,3 % cases. Statistically significant differences were found in speed of sound in tangential wood direction and in some of the frequency spectrum variables between sycamore maples with or without fiddleback figure.
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