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当前位置: 首页 > 文章 > 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
Position: Home > Articles > Tree Crown Volume Calculation and Prediction Model Establishment Using Cubic Lattice Method Transactions of the Chinese Society for Agricultural Machinery 2015,46 (3) 320-327

基于立方体格网法的树冠体积计算与预估模型建立

作  者：
樊仲谋;冯仲科;郑君;樊江川;闫飞;邱梓轩
单  位：
国家农业信息化工程技术研究中心;北京林业大学精准林业北京市重点实验室;国家测绘工程技术研究中心
关键词：
树冠体积;预估模型;立方体格网法;三维激光扫描仪;精度评价
摘  要：
以北京地区10种常见乔木为研究对象,通过三维激光扫描仪获取其点云数据,利用树冠表面三角网配合立方体格网法计算其树冠体积,与点云中提取所得的林木因子分析建立树冠体积和胸径、树高、平均冠幅、冠高的预估方程,并检验其精度。以银杏为研究目标进行了实验,结果表明:银杏的树冠体积与胸径、树高、平均冠幅、冠高均显著相关,通过分析选取了银杏树冠体积的三因子(胸径、平均冠幅、冠高)最优模型,并对模型进行了检验,检验结果表明,模型拟合效果较好,预估精度达到90.5%,可以使用该模型进行银杏的体积估算;同时对所选其他树种进行三因子模型拟合,模型检验结果表明,三因子模型均能够较好地对该树种的树冠体积进行估测。
译  名：
Tree Crown Volume Calculation and Prediction Model Establishment Using Cubic Lattice Method
作  者：
Fan Zhongmou;Feng Zhongke;Zheng Jun;Fan Jiangchuan;Yan Fei;Qiu Zixuan;Beijing Key Laboratory of Precision Forestry,Beijing Forestry University;Chinese Academy of Surveying and Mapping;National Engineering Research Center for Information Technology in Agriculture;
关键词：
Crown volume Prediction model Cubic lattice method 3D laser scanner Accuracy;;evaluation
摘  要：
This article chooses ten kinds of common trees in Beijing as the research objects. A 3D laser scanner was used to get the point cloud data of target trees. The tree crown volume was calculated by using the combined method of cubic lattice method and canopy surface triangulation. The tree factors from point cloud data and the calculated tree crown volume were analyzed to establish the estimation equations of tree crown volume,breast diameter,tree height,average crown height and average crown width. The accuracies of these equations were verified. Taking ginkgo as research object,the test results showed that the tree crown volume of ginkgo was significantly correlated to the breast diameter,tree height,average crown width and crown height. Finally,a three-factor( breast diameter,average crown width,crown height) model was selected and verified on tree crown volume prediction of ginkgo. The results showed that the model had a good fitting accuracy of 90. 5%. The three-factor model was also employed on other species of trees and the results showed it could be used on the prediction of other tree crown volumes.

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