Uporaba lidarskih podatkov za oceno poškodovanosti dreves - primer vrednotenja žledoloma

Benčina, Aleš (author), Kobal, Milan (mentor)

Na območju GGE Snežnik smo ocenjevali poškodovanost krošenj po žledolomu iz leta 2014. Območje je bilo posneto z laserskim skeniranjem površja novembra 2013 in aprila 2014. Lidarske podatke smo obdelali v programu ArcMap in CloudCompare. V raziskavo smo vključili 111 dreves, od tega 65 navadnih jelk (Abies alba Mill.) in 46 navadnih bukev (Fagus sylvatica L.). S programom CloudCompare smo izračunali razdalje med točkami, ki so si bile najbližje med oblakoma točk iz leta 2013 in 2014. Tako smo dobili razdalje poškodovanosti, s katerimi smo prišli do naslednjih ugotovitev: bukve so bile statistično značilno bolj poškodovane od jelk (p < 0,05). Preverili in statistično potrdili smo povezavo med višino drevesa in poškodbami krošnje (p < 0,05) ter dolžino krošnje in poškodbami krošnje (p < 0,05). Vpliva sestojnega sklepa na poškodovanost krošenj po žledu nismo uspeli statistično značilno potrditi (p > 0,05).

• Language: Slovenian
• Keywords: LIDAR, žled, drevesna krošnja, Abies alba Mill., Fagus sylvatica L.
• Work type: Bachelor thesis/paper
• Organization: BF - Biotechnical Faculty
• Year: 2017
• PID: 20.500.12556/RUL-95740
• COBISS.SI-ID: 4874150
• Publication date in RUL: 21.09.2017

BENČINA, Aleš, 2017, Uporaba lidarskih podatkov za oceno poškodovanosti dreves - primer vrednotenja žledoloma [online]. Bachelor’s thesis. [Accessed 15 May 2025]. Retrieved from: https://repozitorij.uni-lj.si/IzpisGradiva.php?lang=eng&id=95740

Secondary language

• Language: English
• Title: Use of lidar data to estimate the tree damage - case study of ice-break

Abstract

In the area of forest management unit Snežnik, we estimated crown damage after ice-break from 2014. The area was recorded with LIDAR technology in November 2013 and April 2014. Lidar data was processed in ArcMap and CloudCompare. The study included 111 trees, of which 65 were silver fir (Abies alba Mill.) and 46 common beech (Fagus sylvatica L.). Using CloudCompare, we calculated the distances between the points that were closest from 2013 and 2014 lidar data. This gave us the distances of damage that led to the following findings: the beech was statistically significantly more damaged than fir (p < 0,05). We discovered the connection between the height of the tree and the crown damage (p < 0,05), the length of the crown and the crown damage (p < 0,05). We have not been able to statistically determine the effect the forest density has on crown damage because of ice-break (p > 0,05).

• Keywords: LIDAR, ice-break, crown damage, Abies alba Mill., Fagus sylvatica L.