Lacunarity analysis of LiDAR point clouds for tree crowns
ZHENG Shasha1,2, DONG Pinliang2,3, WANG Cheng2, XI Xiaohuan2, LYU Yibin1
1. Faculty of Science, Kunming University of Science and Technology, Kunming 650500, China; 2. Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China; 3. Department of Geography, University of North Texas, Denton 76203, USA
Abstract：The spatial distribution of the crown structure has important significance in forestry. Although fractal dimensions is a typical method for analyzing the spatial distribution, it has some defects. In this paper, a method for calculating lacunarity with simulated and real point clouds data for tree crowns is proposed. This method was developed using 3D convex hulls and 3D gliding-box algorithm. Lacunarity differences from different crowns were analyzed in detail. The application of the extension was also demonstrated using ground-based light detection and ranging (LiDAR) points for four tree crowns in the field. The results show that the differences between tree crowns can be revealed by lacunarity, and that lacunarity can be a potential measure for the classification of three-dimensional crown shapes using LiDAR point clouds.
郑莎莎, 董品亮, 王成, 习晓环, 吕毅斌. 基于LiDAR点云数据的树冠空隙度指数分析[J]. 国土资源遥感, 2014, 26(4): 103-110.
ZHENG Shasha, DONG Pinliang, WANG Cheng, XI Xiaohuan, LYU Yibin. Lacunarity analysis of LiDAR point clouds for tree crowns. REMOTE SENSING FOR LAND & RESOURCES, 2014, 26(4): 103-110.
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2014, Vol. 26 
