TY  -  
T1  - Airborne Laser Scanning Outperforms the Alternative 3D Techniques in Capturing Variation in Tree Height and Forest Density in Southern Boreal Forests 
SN  -  /  
UR  - http://hdl.handle.net/10138/307427 
T3  -  
A1  - Vastaranta, Mikko; Yrttimaa, Tuomas; Saarinen, Ninni; Yu, Xiaowei; Karjalainen, Mika; Nurminen, Kimmo; Karila, Kirsi; Kankare, Ville; Luoma, Ville; Pyörälä, Jiri; Junttila, Samuli; Tanhuanpaa, Topi; Kaartinen, Harri; Kukko, Antero; Honkavaara, Eija; Jaakkola, Anttoni; Liang, Xinlian; Wang, Yunsheng; Vaaja, Matti; Hyyppä, Hannu; Katoh, Masato; Wulder, Michael A.; Holopainen, Markus; Hyyppä, Juha 
A2  -  
PB  -  
Y1  - 2018 
LA  - eng 
AB  - The objective of this study is to better understand the relationship between forest structure and point cloud features generated from certain airborne and space borne sensors. Point cloud features derived from airborne laser scanning (ALS), aerial imagery (AI), WorldView-2 imagery (WV2), TerraSAR-X, and Tandem-X (TDX) data were classified as features characterizing forest height and density as well as variation in tree height. Correlations between these features and field-measured attributes des... 
VO  -  
IS  -  
SP  -  
OP  -  
KW  - airborne laser scanning; lidar; photogrammetry; radargrammetry; interferometry; tree; mapping; INVENTORY ATTRIBUTES; POINT CLOUDS; LEVEL; PREDICTION; MODELS; SAR; 4112 Forestry 
N1  -   
PP  -  
ER  -