[1] Burkhart P. Modeling the diameter and locational distribution of branches within the crowns of Loblolly pine trees in unthinned plantations. Canadian Journal of Forest Research, 1994, 24: 2362-2376 [2] Maguire DA, Moeur M, Bennett WS. Models for describing basal diameter and vertical distribution of primary branches in young Douglas-fir. Forest Ecology and Mana-gement, 1994, 63: 23-55 [3] 夏明鹏, 官凤英, 范少辉, 等. TLS技术在森林资源调查中的应用现状与展望. 西北林学院学报, 2018, 33(3): 244-250 [Xia M-P, Guan F-Y, Fan S-H, et al. Application status and prospect of TLS in forest resources inventory. Journal of Northwest Forestry University, 2018, 33(3): 244-250] [4] 刘鲁霞, 庞勇, 李增元. 基于地基激光雷达的亚热带森林单木胸径与树高提取. 林业科学, 2016, 52(2): 26-37 [Liu L-X, Pang Y, Li Z-Y. Individual tree DBH and height estimation using terrestrial laser scanning (TLS) in a subtropical forest. Scientia Silvae Sinicae, 2016, 52(2): 26-37] [5] Lefsky MA, Cohen WB, Parker GG, et al. Lidar remote sensing for ecosystem studies. Bioscience, 2002, 52: 19-30 [6] 马立广. 地面三维激光扫描仪的分类与应用. 地理空间信息, 2005, 3(3): 60-62 [Ma L-G. Classification and application of terrestrial laser scanners. Geospatial Information, 2005, 3(3): 60-62] [7] Hosoi F, Omasa K. Voxel-based 3-D modeling of individual trees for estimating leaf area density using high-resolution portable scanning lidar. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44: 3610-3618 [8] Strahler AH, Jupp DLB, Woodcock CE, et al. Retrieval of forest structural parameters using a ground-based lidar instrument. Canadian Journal of Remote Sensing, 2008, 34: S426-S440 [9] Zheng G, Moskal LM. Computational-geometry-based retrieval of effective leaf area index using terrestrial laser scanning. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50: 3958-3969 [10] Jupp DLB, Culvenor DS, Lovell JL, et al. Estimating forest LAI profiles and structural parameters using a ground-based laser called ‘Echidna'. Tree Physiology, 2008, 29: 171-181 [11] 邓洋波, 余坤勇, 俞欣妍, 等. 基于点云体素化的单木叶面积指数地基遥感反演. 西北林学院学报, 2017, 32(3): 191-197 [Deng Y-B, Yu K-Y, Yu X-Y, et al. Estimation of individual tree leaf area index of terrestrial remote sensing inversion based on point cloud voxelization. Journal of Northwest Forestry University, 2017, 32(3): 191-197] [12] 王祺, 胡洪, 吴艳兰, 等. 基于点云数据的树冠体积自动求算方法. 西北林学院学报, 2017, 32(2): 242-246 [Wang Q, Hu H, Wu Y-L, et al. Automatic tree crown volume calculation method based on point cloud data. Journal of Northwest Forestry University, 2017, 32(2): 242-246] [13] 韦雪花, 王永国, 郑君, 等. 基于三维激光扫描点云的树冠体积计算方法. 农业机械学报, 2013, 44(7): 235-240 [Wei X-H, Wang Y-G, Zheng J, et al. Tree crown volume calculation based on 3-D laser scanning point clouds data. Transactions of the Chinese Society of Agricultural Machinery, 2013, 44(7): 235-240] [14] 樊仲谋, 冯仲科, 郑君, 等. 基于立方体格网法的树冠体积计算与预估模型建立. 农业机械学报, 2015, 46(3): 320-327 [Fan Z-M, Feng Z-K, Zheng J, et al. Tree crown volume calculation and prediction model establishment using cubic lattice method. Transactions of the Chinese Society of Agricultural Machinery, 2015, 46(3): 320-327] [15] 刘芳, 冯仲科, 杨立岩, 等. 基于三维激光点云数据的树冠体积估算研究. 农业机械学报, 2016, 47(3): 333-339 [Liu F, Feng Z-K, Yang L-Y, et al. Estimation of tree crown volume based on 3D laser point clouds data. Transactions of the Chinese Society of Agricultural Machinery, 2016, 47(3): 333-339] [16] 王洪蜀, 李世华, 郭加伟, 等. 地基激光雷达的玉兰林冠层叶面积密度反演. 遥感学报, 2016, 20(4): 570-578 [Wang H-S, Li S-H, Guo J-W, et al. Retrieval of the leaf area density of Magnolia woody canopy with terrestrial laser-scanning data. Journal of Remote Sensing, 2016, 20(4): 570-578] [17] 汪艳, 谢东辉, 王向玉, 等. 地面LiDAR数据模拟及单木LAI反演. 遥感学报, 2015, 19(3): 391-399 [Wang Y, Xie D-H, Wang X-Y, et al. Simulation and analysis of point clouds from a terrestrial laser scanner. Journal of Remote Sensing, 2015, 19(3): 391-399] [18] Henning JG, Radtke PJ. Detailed stem measurements of standing trees from ground-based scanning lidar. Forest Science, 2006, 52: 67-80 [19] Dassot M, Colin A, Santenoise P, et al. Terrestrial laser scanning for measuring the solid wood volume, including branches, of adult standing trees in the forest environment. Computers and Electronics in Agriculture, 2012, 89: 86-93 [20] Röder A, Klemmt HJ, Seifert S, et al. Integration of the forest growth simulator Silva in practical forest management. Environmental Informatics and Systems Research, 2007, 3: 239-246 [21] 张冬, 严锐, 云挺, 等. 基于地面激光雷达的单木枝干建模方法. 林业工程学报, 2016, 27(5): 107-114 [Zhang D, Yan R, Yun T, et al. The 3D reconstruction of tree branches from point cloud based on terrestrial laser scanner. Journal of Forestry Engineering, 2016, 27(5): 107-114] [22] 刘鲁霞, 庞勇, 李增元, 等. 用地基激光雷达提取单木结构参数——以白皮松为例. 遥感学报, 2014, 18(2): 365-377 [Liu L-X, Pang Y, Li Z-Y, et al. Retrieving structural parameters of individual tree through terrestrial laser scanning data. Journal of Remote Sen-sing, 2014, 18(2): 365-377] [23] 王春红, 李凤日, 贾炜玮, 等. 基于非线性混合模型的红松人工林枝条生长. 应用生态学报, 2013, 24(7): 1945-1952 [Wang C-H, Li F-R, Jia W-W, et al. Branch growth of Korean pine plantation based on nonlinear mixed model. Chinese Journal of Applied Eco-logy, 2013, 24(7): 1945-1952] [24] 董灵波, 刘兆刚, 李凤日, 等. 基于线性混合模型的红松人工林一级枝条大小预测模拟. 应用生态学报, 2013, 24(9): 2447-2456 [Dong L-B, Liu Z-G, Li F-R, et al. Primary branch size of Pinus koraiensis plantation: A prediction based on linear mixed effect model. Chinese Journal of Applied Ecology, 2013, 24(9): 2447-2456] [25] 王卫, 卢军. 东北天然次生林阔叶树种枝条基径模型. 辽宁林业科技, 2019(6): 3-7 [Wang W, Lu J. Branch basal diameter model for broad-leaved tree species in natural secondary forest of northeast China. Liaoning Forestry Science and Technology, 2019(6): 3-7] [26] 张智昌. 落叶松人工林枝条生长与节子大小预测模型的研究. 硕士论文. 哈尔滨: 东北林业大学, 2010[Zhang Z-C. Predicting Models of Branch Growth and Knot Properties for Larch Plantatio. Master Thesis. Harbin: Northeast Forestry University, 2010] [27] 王曼霖, 董利虎, 李凤日. 基于Possion回归混合效应模型的长白落叶松一级枝数量模拟. 北京林业大学学报, 2017, 39(11): 45-55 [Wang M-L, Dong L-H, Li F-R. First-order branch number simulation for Larix olgensis plantation through Poisson regression mixed effect model. Journal of Beijing Forestry Univer-sity, 2017, 39(11): 45-55] [28] Pyörälä J, Liang X, Vastaranta M, et al. Quantitative assessment of Scots pine whorl structure in a forest environment using terrestrial laser scanning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018, 11: 3598-3607 |