We use cookies on our website. Some are necessary for the operation of the website. You can also allow cookies for statistical purposes. You can adjust the data protection settings or agree to all cookies directly.
Data Protection Declaration
Imprint
Assessment of quality attributes and automated quality grading of standing trees through the use of mobile laser scanning (SortiScan)
Project
Project code: 28RZ5041
Contract period: 01.01.2018
- 31.12.2020
Budget: 247,513 Euro
Purpose of research: Applied research
Keywords: other hardwood, silviculture, beech, hardwood, sustainability, environment and nature protection, forest economy, oak, wood harvesting
Main goal of the study is the development of a method for an objective and assessment of wood quality-related attributes of standing trees including a routine for an automated log-grading based on 3D data from mobile laser scanning. Through the combination of highly efficient mobile laser scanning and routines for an automated grading of the logs teh project aims at building the foundation for a operational commercial application in the near future. The project goals are as follows:
(i) development of a standarized method for 3D point cloud processing for an automatic and data-based log-grading of standing trees.
(ii) automatic grading of 250 study trees (including the identificication of potential habatitat trees that should remain in the stand for ecological reasons) and comparison of the grading-results with conventional methods applied to the harvest trees. (iii) development of a routine to alpha-software status and if possible protection of the idea (collaboration with MBM Science bridge, Göttingen, partner of the University) 250 trees, 50 of each of the five tree species European beech, oak, pine, ash and Douglas-fir, will be scanned in-situ using a mobile laserscanner.
Based on the virtual 3D models of the standing trees and a computer-routine, which is to be developed during the project, wood-quality related attributes of the tree stems will be automatically identified along with dimensional measures (log-sizes). Based on this quality information and log dimensions the trees will be graded fully automatically and assigned to the corresponding grades (Güteklassen). The results of the new procedure will be evaluated based on a comparison with conventional grading methods (so called: Waldmaß) applied to the harvest trees.
Section overview
Subjects
- Forestry
- Forestry Technology
- Computer science
Funding programme
Excutive institution
Department Silviculture and Forest Ecology of the Temperate Zones
