用美国SVC的HR-768便携光谱仪现地测定了9种荒漠植物的高光谱并在实验室使用烘干法测定相应植物的含水率, 对测定的光谱数据使用ENVI软件去除包络线, 运用相关系数法分析植物含水率与反射光谱之间的关系, 结果表明: 978～1 030 nm 波段与植物含水率相关性一般, 1 133～1 266 nm波段与植物含水率相关性较好, 1 374～1 534 nm波段与植物含水率相关性最好, 是表达植物含水率大小的特征波段。 对1 374～1 534 nm波段光谱数据进行聚类分析, 可将测定的植物划分为含水率较高(>70%)、 中等(50%～70%)、 较低(<50%)３个等级。 以上研究揭示了荒漠植物含水量大小和光谱数据之间的关系, 为荒漠区生境分析和利用遥感数据进行荒漠植物监测提供了参考依据。

By using HR-768 field-portable spectroradiometer made by the Spectra Vista Corporation(SVC) of America, the hyper-spectral data of nine types of desert plants were measured, and the water content of corresponding vegetation was determined by roasting in lab. The continuum of measured hyperspectral data was removed by using ENVI, and the relationship between the water content of vegetation and the reflectance spectrum was analyzed by using correlation coefficient method. The result shows that the correlation between the bands from 978 to 1 030 nm and water content of vegetation is weak while it is better for the bands from 1 133 to 1 266 nm. The bands from 1 374 to 1 534 nm are the characteristic bands because of the correlation between them and water content is the best. By using cluster analysis and according to the water content, the vegetation could be marked off into three grades: high (＞70%), medium (50%-70%) and low (＜50%). The research reveals the relationship between water content of desert vegetation and hyperspectral data, and provides basis for the analysis of area in desert and the monitoring of desert vegetation by using remote sensing data.