一种高郁闭度林分树高的估测方法A tree height estimation method with high canopy density
李祥;吴金卓;林文树;郑淯文;
摘要(Abstract):
针对单一无人机影像无法有效地提取高郁闭度林分树高的问题,该文提出一种结合无人机影像数据和全站仪测量的地形数据获取高郁闭度林分树高的方法。①利用搭载数码相机的小型无人机平台,以50m航高获取实验区局部高精度林分影像,利用全站仪获取实验区的地形数据;②利用无人机影像处理软件对影像进行处理,通过初步的几何校正以及空三加密过程得到整个实验区的高分辨率DEM和DOM模型;③采用局部最大值算法探测单株林木的树冠中心点坐标,利用自然生长算法和高程差值公式得到树冠中心对应的树根高程;④以树冠中心点高程以及树根高程的差值作为单木树高的估计值。通过实验得出:结合无人机影像与全站仪数据能够准确快速地获取高郁闭度林分树高,本文提出的方法可以为森林可持续经营提供数据基础。
关键词(KeyWords): 无人机影像;全站仪;树高;滑动窗口;不规则三角网
基金项目(Foundation): 国家自然科学基金项目(31500587);; 中央高校基本科研业务费专项资金项目(2572016CB10);; 黑龙江省博士后基金项目(LBH-Z15007)
作者(Authors): 李祥;吴金卓;林文树;郑淯文;
DOI: 10.16251/j.cnki.1009-2307.2019.07.020
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