森林地上生物量遥感估测研究进展  

Advances in the Estimation of Above-ground Biomass of Forest Using Remote Sensing

作　　者：娄雪婷[1] 曾源[1] 吴炳方[1] 

机构地区：[1]中国科学院遥感应用研究所农业与生态遥感研究室,北京100101

出　　处：《国土资源遥感》2011年第1期1-8,共8页Remote Sensing for Land & Resources

基　　金：国家重点基础研究发展计划项目"区域生态系统服务功能的尺度特征与综合集成"(编号:2009CB421104);中国科学院知识创新工程重大项目(KZCX1-YW-08-02)

摘　　要：森林生物量是衡量生态系统生产力的重要指标,也是研究森林生态系统物质循环的重要基础,其估测方法可以分为传统地面实测法、遥感监测法和综合模型法。随着生物量估测从样地研究发展到区域应用,空间尺度的增大导致宏观资料和参数的获取存在很多困难。在深入分析目前应用遥感技术估算森林生物量的方法及原理基础上,系统评述了统计模型、物理模型、基于植被净初级生产力(NPP)模型的估算方法以及综合模型法的优缺点,分析了各种方法在不同森林植被及遥感数据源下的适用性及不确定性,探讨了此领域的研究方向。Above - ground biomass of forest has great research and application value in the forest ecological system. There are mainly three types of models for estimating above - ground biomass of forest, i. e. , forest measuring method, remote sensing method and integrated method. Remote sensing technique has become an important means for obtaining above - ground biomass of forest at the regional scale. There are mainly four types of remote sensing models, namely empirical, ANN, physical and NPP based models. This paper has analyzed and discussed the present methods for estimating above - ground biomass of forest based on remote sensing as well as their advantages and disadvantages. Finally, this paper points out that the integrated method combining remote sensing technique and forest succession model can be generally used to estimate above -ground biomass of forest at the regional scale in future.

关 键 词：森林地上生物量 遥感 模型估算 

分 类 号：TP79[自动化与计算机技术—检测技术与自动化装置]