通过不同氮素营养水平的水稻田间试验 ,采用单变量线性与非线性拟合模型和逐步回归分析 ,用1 999年试验数据为训练样本 ,建立水稻LAI的高光谱遥感估算模型 ,用 2 0 0 0年试验数据作为测试样本数据 ,对其精度进行评价和验证。结果表明 ,高光谱变量与LAI之间的拟合分析中 ,蓝边内一阶微分的总和与红边内一阶微分的总和的比值和归一化差植被指数是最佳的变量

This study is based on the rank difference of the nitrogenous nutrition level by the man made style through two years rice farm experiment about the difference of the nitrogenous nitrition level. Using linear and non linear and stepwise multiple regression methods, the estimation models about LAI of rice have been built on the basis of the experimental data in 1999 which where evaluatde and validated with experimental data of the year 2000 as training samples. The results show that there are the ralationships between the characteristic variables of hyperspectra and LAI . From the results of precision analysis, the models that the vegetation indices variables of sum of the 1st derivative value within red edge ( SDr) and the blue edge ( SDb) are the best one of estimating LAI of Rice by hyperspectral remote sensing data.