中文摘要：

以吉林省长春西部地区合心与合隆镇为研究区,利用高光谱Hyperion遥感影像,结合与其同步实测LAI数据,分别建立影像波段与玉米LAI线性及非线性统计回归模型,最终选出以SAVI为自变量的指数函数模型y=1.717e1.064x为最优反演模型,其估测精度高达96.8%。经实验证实,高光谱遥感可以实现大范围、快速、较精确地获取玉米叶面积指数。

英文摘要：

In this paper, Hexin and Helong towns of western Changchun city in Jilin province were taken as the research re- gions. According to the hyperspectral remote-sensing Hyperion images and synchronously-measured maize LAI （ Leaf Area Index） data, the linear and nonlinear statistical regressive models describing the relationship between maize LAI and image band were built respectively. The exponential function model y= 1.717e^1.064x, which used SAV1 as independent variable, was finally selected as the optimum inversion model, and its estimative accuracy was as high as 96.8%. This experiment confirmed that the hyperspectral re- mote-sensing could quickly and accurately acquire the LAI of large-area maize.