摘要
利用国家林业和草原局卫星林业应用中心设计研发的机载林业探测大光斑激光雷达回波数据,基于Matlab2014a软件对光斑数据进行数据读取、背景噪声估计、信号起始位置判断、地面回波位置确定,从而估测光斑位置下森林冠层高度。通过选取样地位置附近连续10组大光斑回波波形对森林冠层高度进行估测,并与样地实测森林冠层高度进行精度验证。结果表明:机载林业探测大光斑回波波形对7种森林冠层高度均有不同程度的估测能力,其中以胸高断面积加权平均高、优势树种平均木平均高估测效果最好,相对误差分别为4.36%和8.29%,RMSE(均方根误差)为1.40 m和1.55 m;对优势木平均高H、优势木平均高D估测能力最差,相对误差为19.81%和22.00%,RMSE为2.99m和3.34m。
Using the echo waveform data collected by the large-footprint airborne forestry LiDAR designed by Satellite Forestry Application Center of National Forestry and Grassland Administration,a series of parameters like background noise,signal starting position,ground echo position were processed based on Matlab 2014a,so as to estimate forest canopy height.Ten echo waveforms near the sample plot were selected to estimate the height of forest canopy.And the accuracy of the forest canopy height estimated by echo waveform data was verified.The results showed that echo waveform collected by airborne large-footprint LiDAR had different degrees of ability to estimate seven kinds of forest canopy height.Estimation of the weighted basal area average height and the average wood of dominant tree′s average height was the best,with the relative errors of 4.36%and 8.29%,RMSE of 1.40 m and 1.55 m.For the average height H and the average height D of the dominant tree,the estimation ability was the worst,with the relative errors of 19.81%and 22.00%,and RMSE of 2.99 m and 3.34 m.
作者
孙忠秋
吴发云
高显连
高金萍
胡杨
SUN Zhongqiu;WU Fayun;GAO Xianlian;GAO Jinping;HU Yang(Academy of Inventory and Planning,National Forestry and Grassland Administration,P.R.China 100714;Beijing Forestry University,Beijing 100091)
出处
《林业资源管理》
北大核心
2020年第3期111-117,共7页
Forest Resources Management
基金
2019行业管理专项经费-陆地碳卫星星机地综合实验(2019-21-5**)。
关键词
林业
机载
大光斑激光雷达
森林冠层高度
估测
forestry
airborne
large-footprint LiDAR
forest canopy height
estimation
