中文摘要：

随着传感器技术的发展，高光谱数据光谱的波段宽度逐渐变窄，如何从海量的光谱数据中找到最优的光谱波段反演叶绿素含量，成为研究的难点问题。本文在测量华中农业大学狮子山6种主要树种的光谱数据和叶绿素含量的基础上，利用叶绿素指数（CI）和回归方法反演叶绿素含量，并分析了波段宽度对反演叶绿素含量结果的影响，结果发现波段宽度会影响到叶绿素反演的精度，当波段宽度为30nm时，叶绿素含量与“红边”区域（700nm-730nm）和近红外区域（770nm-800nm）叶绿素指标（CI）间的线性关系较好，决定系数可达到77．62％，均方根误差为10．6ug／cm^2。

英文摘要：

With the develop of the sensor, the band width of the spectral is become more and more narrow, how to find the optimal band width to retrieval the chlorophyll is become the difficult problem. This paper measured the spectral reflectance and chlorophyll concentration of six main tree species in Lion Mountain of Huazhong Agriculture University, and then the Chlorophyll Indice（CI） and regression analysis were used to retrieve the foliar chlorophyll concentration, in this progress the influence of the band width on the re- trieve precision was analyzed. The results showed that the band width influences the retrieve precision, and when band width is 30nm, the relationship of chlorophyll concentration of CI is best, the determination coefficient is 77.62% and the RMSE is 10. 6ug/cm^2.