背包式激光雷达的落叶松单木因子提取

以黑龙江省桦南县孟家岗林场9块落叶松人工林样地为研究对象，根据树木的形态特征，利用背包式激光雷达扫描样地获取点云数据，使用Lidar360软件对样地内的树木点云数据进行单木识别及胸径、树高的提取，同时与实测数据比较进行精度评价及相关性检验。背包式激光雷达扫描的点云数据可以用于样地内单木的识别;胸径的提取结果可靠性最高，能够满足林下胸径数据的采集;由于遮挡单木点云数据的树冠顶部扫描不完全，导致树高提取的精度相对较低。说明背包式激光雷达还不可以直接用于树高数据的采集和提取，需结合其他种类激光雷达数据进行更高精度的分析。

Taking 9 larch plantation plots in Mengjiagang Forest Farm, Huanan County, Heilongjiang Province as the research object, backpack LiDAR was used to scan the plots to obtain point cloud data based on the morphological characteristics of trees. Lidar360 software was employed to perform individual tree recognition and extract DBH (diameter at breast height) and tree height from the tree point cloud data within the plots, and accuracy evaluation and correlation test were conducted by comparing with the measured data. The point cloud data collected via backpack LiDAR scanning can be used for individual tree recognition in the plots; the extraction results of DBH have the highest reliability, which can meet the requirements of understory DBH data collection; due to incomplete scanning of the crown tops of individual tree point cloud data caused by occlusion, the accuracy of tree height extraction is relatively low. This indicates that backpack LiDAR cannot yet be directly used for the collection and extraction of tree height data, and it needs to be combined with other types of LiDAR data for higher-precision analysis.

搜集汇总

背景与挑战

背景概述

该数据集研究了背包式激光雷达在落叶松人工林样地中的应用，通过点云数据提取单木胸径和树高，并与实测数据进行比较。结果表明，胸径提取结果可靠性高，而树高提取精度较低，需结合其他激光雷达数据以提高精度。