应用激光雷达估测森林生物量的研究进展  

Research Progress of Lidar in Forest Biomass Estimation

作　　者：罗浩 舒清态 席磊 黄金君 刘月玲 杨青 Luo Hao;Shu Qingtai;Xi Lei;Huang Jinjun;Liu Yueling;Yang Qing(College of Forestry,Southwest Forestry University,Kunming,Yunnan 650233,China)

机构地区：[1]西南林业大学林学院,云南昆明650233

出　　处：《绿色科技》2022年第8期23-28,共6页Journal of Green Science and Technology

基　　金：国家自然科学基金项目(编号:31860205,31460194)。

摘　　要：激光雷达相比传统被动遥感技术具有较强的穿透性,有利于森林垂直结构分布信息的获取,被广泛应用于林业研究中森林计测参数的估算。展望了激光雷达在森林生物量估测中的应用研究,主要以多源遥感数据协同估测森林生物量为研究思路,结合应用多源数据探索复杂地向条件下对森林生物量的高精度估测,以及探索不同算法对生物量估测的精度影响和相应适用条件。研究了以森林生物量估测为重,从三种不同搭载平台出发,结合相关研究总结近年来地基激光雷达、机载激光雷达、星载激光雷达三种雷达数据在生物量估测中的研究进展,旨在总结研究成果,展望未来生物量估测研究中模型构建、生物量估测研究方向及数据源的选择,并以此提出了参考性意见。Compared with the traditional passive remote sensing technology,lidar has strong penetration,which is conducive to the acquisition of forest vertical structure distribution information.It is widely used in the estimation of forest measurement parameters in forestry research.Looking forward to the application research of lidar in forest biomass estimation,this paper mainly takes the collaborative estimation of forest biomass with multi-source remote sensing data as the research idea.Combined with the application of multi-source data,the high precision estimation of forest biomass under complex ground conditions,as well as the impact of different algorithms on the accuracy and corresponding applicable conditions of biomass estimation are explored.The research focuses on forest biomass estimation.Starting from three different carrying platforms and combined with relevant research,this paper summarizes research progress of ground-based lidar,airborne lidar and spaceborne lidar data in biomass estimation in recent years,in order to summarize the research results and look forward to the model construction,research direction of biomass estimation and selection of data sources in future biomass estimation research.Reference opinions are put forward on this basis.

关 键 词：激光雷达 森林生物量估测 数据源选择 模型构建 

分 类 号：S718[农业科学—林学]