Stem Quality Estimates Using Terrestrial Laser Scanning Voxelized Data and a Voting-Based Branch Detection Algorithm

被引：1
|
作者：
Olofsson, Kenneth [1 ]
Holmgren, Johan [1 ]
机构：
[1] Swedish Univ Agr Sci, Dept Forest Resource Management, Div Forest Remote Sensing, S-90183 Umea, Sweden
来源：
REMOTE SENSING | 2023年 / 15卷 / 08期
关键词：
terrestrial laser scanning; stem quality; branch structure; TREE MODELS; LIDAR;
D O I：
10.3390/rs15082082
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A new algorithm for detecting branch attachments on stems based on a voxel approach and line object detection by a voting procedure is introduced. This algorithm can be used to evaluate the quality of stems by giving the branch density of each standing tree. The detected branches were evaluated using field-sampled trees. The algorithm detected 63% of the total amount of branch whorls and 90% of the branch whorls attached in the height interval from 0 to 10 m above ground. The suggested method could be used to create maps of forest stand stem quality data.
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页数：10
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