中文摘要：

通过获取棉花不同品种、不同种植密度单叶和冠层关键生育时期的反射光谱，与其相应的单叶叶绿素含量（CHL．C，下同）和冠层叶绿素密度（CH．D，下同）进行多元统计的逐步相关分析。结果表明，棉花冠层CH．D在其反射光谱762nm波段处的相关系数达最大值（RCHD=0．8134^＊＊，n=94）；对于一阶微分光谱，单叶CHL．C和冠层CH．D的敏感波段均发生在750nm波段处，基于750nm波段的微分数值，建立了棉花CHL．C和CH．D线性相关模型（RCHL.C=0．7382^＊＊，RMSE=0．1831，n=66；RCH.D=0．9027^＊＊，RMSE=0．3078，n=94），为利用高光谱遥感技术精确提取反映棉花生长状况的叶绿素信息提供了依据。

英文摘要：

Single leaf and canopy hyperspectral reflectance data were recorded at the key growth stages in a cotton filed experiment with cultivars and planting densities level, at the meantime, cotton single leaf chlorophyll content（CHL. C） and canopy chlorophyll density （CH. D. ） were tested in the laboratory. Utilizing multivariate regression method analyzes the correlation between hyperspectral data and its CH. D. The results showed that the maximum correlation coefficients of CH. D occurred at the re flectance bands of 762 nm（RCH. D=0. 8134^＊＊ ,n=94） ; the highest correlation coefficients between the first derivative spectral data and CHL. C, CH. D both occurred at band of 750 nm, based on the first derivative value of band at 750 nm, the linear function model was established （RCHL.D =0. 7382^＊＊ , RMSE=0.1831, n=66;RCH.D=0.9027^＊＊ , RMSE=0.3078, n=94）. This research shows that chlorophyll information of reflecting cotton growing status can be preciously obtained by using hyperspectral remote sensing.