大豆光谱反射率与地上干物重对数回归分析

Analysis of Logistic Regression with Reflectance and Dry Matter Accumulation in Above-Ground Part of Soybean

为从统计学角度分析地上部干物重与叶片反射光谱特征的定量关系,通过对近红外和可见光波段光谱反射率的分析,确立不同时期大豆地上部干物重的敏感波段,计算出相应的植被指数,并建立植被指数与大豆地上部干物质量预测模型;结果表明,通过RDV(I1005,510nm)植被指数建立对数模型,方程为:y=-295.83Ln(x)-123.05。此模型能较好的描述大豆合农60光谱反射率与干物重的关系。

For a statistical point of view of shoot dry weight and leaf reflectance spectral characteristics of the quantitative relationship; On the basis of actual measuring the leaf reflectance spectra and dry matter accumulation in above-ground of soybean in experimental field, the sensitive wavelength of soybean shoot dry matter was established by analyzing spectra reflectance of near infrared light and visible light. The vegetation index was computed, and the prediction model on the shoot dry matter accumulation was established in soybean; The results showed that the corresponding logistic prediction model established by vegetation indices of RDVI（1005,510 nm）was y=-295.83Ln（x）-123.05;The model could be accurate to predict the dry matter accumulation in above-ground part of soybean.