森林理化参数高光谱遥感反演研究进展

近年来, 成像高光谱遥感技术在森林资源信息提取方面取得了进一步发展。文中介绍国内外在轨运行的主要机载和星载高光谱传感器及其技术参数; 分别从叶面积指数和森林含水量反演及森林树种识别3个方面概述国内外基于高光谱遥感技术的森林物理参数反演方法及模型, 从叶绿素含量及森林养分元素反演2个方面概述基于高光谱遥感技术的森林化学参数反演方法及模型; 分析目前研究中存在的主要技术问题, 并展望其应用和研究前景。

Research Progress on Hyper-spectral Remote Sensing Retrieval for Forest Physical and Chemical Parameters

Imaging hyper-spectral remote sensing technology has recently made a rapid progress in the field of forest resources information extraction. The paper introduced the main airborne and spaceborne hyper-spectral sensors and their technical parameters at home and abroad. The retrieval methods and models for forest physical parameters based on hyper-spectral remote sensing technology were summarized in terms of leaf area index, forest water content and tree species identification. The retrieval methods and models for forest chemical parameters based on hyper-spectral remote sensing technology were also summarized in relation to chlorophyll content and forest nutrient elements. The main technical problems in the field were analyzed and the application prospect in forestry sector was discussed.