GEDI星载激光雷达数据估测森林冠层高度精度评估  

Assessing GEDI LiDAR Data Estimation Accuracy of Canopy Height

作　　者：黄佳鹏[1] 乔俊秋 王泳 HUANG Jia-peng;QIAO Jun-qiu;WANG Yong(School of Geomatics,Liaoning Technical University,Fuxin,Liaoning 123000)

机构地区：[1]辽宁工程技术大学测绘与地理科学学院,辽宁阜新123000

出　　处：《安徽农业科学》2024年第19期97-102,共6页Journal of Anhui Agricultural Sciences

基　　金：辽宁省博士科研启动基金计划项目(2023-BS-202);大学生创新创业训练计划项目(S202210147007);辽宁省教育厅基本科研项目(JYTQN2023202)。

摘　　要：为解决现有研究针对GEDI数据产品不同算法估测森林冠层高度不充分的问题,利用机载激光雷达数据探究GEDI提取的佩诺布斯科特森林冠层高度精度,计算两数据的R^(2)、RMSE并开展显著性检验分析,用以探究不同算法以及数据获取时间对估测精度的影响。结果表明:6种算法中,算法4的精度最高,R^(2)=0.61,RMSE=5.74 m。对于不同时间获取的GEDI数据,与机载数据获取时间接近的GEDI数据估测精度较高。Existing research on the selection of Global Ecosystem Dynamics Investigation(GEDI)different algorithms to estimate accuracy of canopy height is insufficient.Based on this,this article uses airborne LiDAR data to verify the accuracy of the canopy height extracted by GEDI for the Penobscot experimental forest and calculate the R^(2) and RMSE of two sets of data and conduct significance test analysis to explore the impact of different algorithm selection and data acquisition time on estimation accuracy.The results show that among the six algorithms,Algorithm four has the highest accuracy,with R^(2)=0.61,RMSE=5.74 m.For GEDI data obtained at different times,the estimation accuracy of GEDI data obtained at a time similar to that of airborne data is higher.

关 键 词：全波形激光雷达 GEDI 森林冠层高度 G-LiHT 精度评估 

分 类 号：S758[农业科学—森林经理学]