森林工程2017，Vol.33Issue(4)：21-26,6.
基于机载全波形LiDAR数据的森林地上生物量估测算法研究
Estimation Algorithm of Forest Aboveground Biomass Based on Airborne Full-waveform LiDAR Data
摘要
Abstract
In order to improve the estimation accuracy of forest aboveground biomass(AGB),this paper takes birch forest as the research object and airborne full-waveform light detection and ranging(LiDAR)data as the research data.First,the algorithms of LiDAR data reading and full-waveform information extraction were proposed.Then the waveform energy corresponding to each sample of full-waveform data was extracted and the full-waveform laser penetration index FiLPI was calculated.After that,the statistical regression model of AGB was established by using the index FiLPI.Finally,the estimated value of forest AGB was compared with the measured value.Results showed that the index FiLPI has a good correlation with forest AGB(R2 is 0.885,RMSE is 0.095),and the error between the estimated value and the measured value of forest AGB was small,which improved the estimation accuracy of forest AGB and provided the method and idea of forest AGB estimated by airborne full-waveform LiDAR data.关键词
机载激光雷达/全波形数据/波形数据读取/波形特征信息提取/白桦林/地上生物量Key words
Airborne LiDAR/full-waveform data/waveform data reading/waveform feature information extraction/birch forest/aboveground biomass分类
农业科技引用本文复制引用
邢艳秋,姚松涛,李梦颖,谢杰,闫灿..基于机载全波形LiDAR数据的森林地上生物量估测算法研究[J].森林工程,2017,33(4):21-26,6.基金项目
国家林业局林业公益性行业科技专项基金(201504319) （201504319）
国家重点基础研究发展计划项目(2013CB733404) （2013CB733404）
