TY  -  
T1  - Quantitative Assessment of Scots Pine (Pinus Sylvestris L.) Whorl Structure in a Forest Environment Using Terrestrial Laser Scanning 
SN  -  /  
UR  - http://hdl.handle.net/10138/259417 
T3  -  
A1  - Pyörälä, Jiri; Liang, Xinlian; Vastaranta, Mikko; Saarinen, Ninni; Kankare, Ville; Wang, Yunsheng; Holopainen, Markus; Hyyppä, Juha 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - State-of-the-art technology available at sawmills enables measurements of whorl numbers and the maximum branch diameter for individual logs, but such information is currently unavailable at the wood procurement planning phase. The first step toward more detailed evaluation of standing timber is to introduce a method that produces similar wood quality indicators in standing forests as those currently used in sawmills. Our aim was to develop a quantitative method to detect and model branches from ... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - Branch; forestry; LiDAR; modeling; wood procurement; wood quality; LUMBER GRADE; TREE MODELS; STEM; RECONSTRUCTIONS; INFORMATION; PREDICTION; ALGORITHM; DIAMETER; BRANCHES; SAWLOGS; 4112 Forestry; 222 Other engineering and technologies 
N1  -   
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ER  -