| 地基激光雷达在森林参数反演中的应用 |
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| 引用本文： | 李丹,庞勇,岳彩荣.地基激光雷达在森林参数反演中的应用[J].世界林业研究,2012,25(6):34-39. |
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| 作者姓名： | 李丹 庞勇 岳彩荣 |
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| 作者单位： | 1.中国林业科学研究院资源信息研究所, 北京 100091 |
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| 基金项目： | 林业公益性行业科研专项(200704019);国家863计划(2009AA12Z142);国家自然科学基金课题(41071272) |
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| 摘 要： | 近年来地基激光雷达(TLS)得到了快速发展, 它能够快速地获取高精度、高密度的3D点云数据, 可以应用到工程设计、林业、农业、矿产、交通、城市规划和遗产记录等领域。在森林参数的定量测量应用上, 利用TLS测量森林参数如树高、胸径、密度和蓄积量等, 不仅节省人力, 还提高了工作效率, 现在已经成为一种快速获取树木几何参数的有效方法。文中主要介绍地基激光雷达遥感的工作原理、数据处理过程和方法、在林业中的应用现状、利用TLS数据反演森林参数(位置、胸径、树高、蓄积量、树干和郁闭度等)的方法和研究进展, 同时对地基激光雷达在林业中的应用前景进行了分析和展望。
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| 关 键 词： | 地基激光雷达 点云 森林参数 遥感 测量 |
| 收稿时间： | 3/8/2012 12:00:00 AM |
A Review of TLS Application in Forest Parameters Retrieving |
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| Li Dan,Pang Yong and Yue Cairong.A Review of TLS Application in Forest Parameters Retrieving[J].World Forestry Research,2012,25(6):34-39. |
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| Authors: | Li Dan Pang Yong and Yue Cairong |
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| Institution: | 1.Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China2.College of Forestry, Southwest Forestry University, Kunming 650224, China |
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| Abstract: | In recent years, terrestrial laser scanning (TLS) has been rapidly developed. It can quickly obtain high-precision and high-density 3D point clouds, and can be applied in the fields of engineering, forestry, agriculture, mining, transportation, urban planning and heritage records. Using the TLS to measure forest parameters (tree height, DBH, tree density and volume, etc) for quantitative survey not only saves manpower, but also improves work efficiency, which has been a fast and effective way to obtain geometric parameters of trees now. This paper introduced the working principle of TLS, the process and methods of data processing, the application status in forestry sector, the methods of retrieving forest parameters (positions, DBH, tree height, volume, stem, canopy cover, etc), reviewed the research progress using TLS, and made analysis and prospect in future TLS application in forestry sector. |
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| Keywords: | terrestrial laser scanning (TLS) point cloud forest parameter remote sensing survey |
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