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植被叶面积指数(Leaf Area Index,LAI)是陆面过程中影响陆-气交换的重要参数,也是表征植被冠层结构最基本的参量之一。准确而快速地获取LAI是植被-气候相互作用、植被生态和农作物估产研究不可缺少的工作。本文首先针对LAI和高光谱遥感进行概述,然后从不同平台高光谱传感器数据和不同反演方法两个角度总结了国内外近些年来高光谱遥感LAI的研究进展,最后分析了高光谱遥感反演LAI的未来发展方向。
Leaf Area Index (LAI) is one of the most important parameters that characterize land-atmosphere exchange during land-surface processes. Accurate and rapid access to LAI is an indispensable task in the study of vegetation-climate interaction, vegetation ecology and crop yield estimation. In this paper, firstly, the overview of LAI and hyperspectral remote sensing is summarized, and then the research progress of hyperspectral LAI at home and abroad in recent years is summarized from the data of different platform hyperspectral sensors and different inversion methods. Finally, the hyperspectral remote sensing inversion LAI’s future direction of development.