中文摘要：

利用非成像高光谱仪，对棉花（2品种4水平种植密度）冠层5个关键生育时期进行光谱测定，分析棉花反射光谱及微分光谱生育期的变化规律，并对棉花冠层叶面积指数（LAD、叶绿素密度（CH．D）与光谱数据进行回归分析，结果表明，用归一化差值植被指数（NDVI）与LAI建立的对数模型能够较好地估测棉花冠层的LAI（r=0．9123^＊＊，n=20）；近红外729nm波段处一阶微分光谱数值与CH．D高度相关（r=0．9372^＊＊，n=20），用此波段建立的CH．D估算模型，精度达84．3％，标准差为0．234g·m^-2。，RMSE=0．1569。研究表明。可以用高光谱数据对新疆棉花冠层LAI和CH．D进行遥感估算。

英文摘要：

Using hyperspectral non-imaging spectrometer, the hyperspecctral data of cotton five key growing stages in Xinjiang were recorded. Analysis of reflectance and derivative spectral data characteristics, and of the relationship between cotton canopy leaf area index （LAI）, chlorophyll density （CH. D） and hyperspectal data utilizing regression methods, have shown that NDVI （the normalized difference vegetation index） is logarithmic correlated with LAI, and the correlation coefficient is highly positive （r = 0. 9123^＊＊,n=20）. At waveband 729 nm the first derivative spectra data are highly positive with CH.D （r=0.9372^＊ ＊ , n=20）.The estimating model, based on this band value has an estimated accuracy 84.3%, the standard error 0. 234g·m^-2, RMSE= 0.1569. Consequently, this study is available to estimate the cotton canopy LAI and CH. D by using the hype.rspectral data in Xinjiang.