中文摘要：

对于反演植被叶绿素含量而言，基于Hyperion等高光谱传感器数据、利用经验方法建模是一种快速准确的方法。利用多种植被的实测数据以及Hyperion模拟数据，分析植被反射率及其变化形式与叶绿素含量的相关性，并进一步针对红边参数、植被指数等分析植被反射率与叶绿素含量的关系，选取最准确的经验建模方法。经过对比，改进的简单比值指数（modified simpleratio，MSR）与叶绿素含量相关性最高，其回归模型能比较准确地反演出叶绿素含量。通过Hyperion图像、利用MSR指数与实测叶绿素含量得到回归模型，建立区域叶绿素含量分布图；并对张掖地区植被叶绿素含量进行了反演，反演结果具有较高精度，相对误差低于5％。

英文摘要：

Modeling using empirical methods based on Hyperion is a fast and accurate way to retrieve vegetation chlorophyll content. In this paper, the measured spectra and simulated Hyperion spectra were analyzed, the correlation between chlorophyll content and reflectance with its change forms and the relation between chlorophyll content and red edge parameters as well as vegetation indexes were calculated to obtain the most accurate modeling method. The vegetation index of modified simple ratio（MSR） has a significant correlation with chlorophyll content, and its regression model can retrieve chlorophyll concentration accurately. Using MSR and measured chlorophyll content, the authors built the regression model based on Hyperion data and then established the chlorophyll concentration profile. The chlorophyll concentration profile of Zhangye City was computed and a high - accuracy was achieved,with its relative error less than 5%.