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作 者:宋英博[1]
机构地区:[1]黑龙江省农业科学院佳木斯分院,黑龙江佳木斯154007
出 处:《大豆科学》2010年第4期641-644,共4页Soybean Science
基 金:黑龙江省国际合作资助项目(WB08C07)
摘 要:通过分析不同施氮水平下大豆叶片氮含量与叶片光谱反射率之间的关系,确立了大豆叶片氮含量的敏感波段及预测方程。结果表明:在530、550、890和930 nm 4个波段的光谱反射率与大豆叶片氮含量的相关性达显著或极显著水平。通过4种植被指数的比较,NDVI的R2最大,RMSE最小。筛选得到回归方程:Y=-323.214×ND-VI2(890,530)+469.9307×NDVI(890,530)-165.021,该模型适用于不同生育期大豆叶片氮含量的预测。Through analyzing the relationships of nitrogen concentration in soybean leaf under different nitrogen supply levels with spectral reflectance,the sensitive wave bands and prediction functions of soybean leaf nitrogen concentration were worked out.The results showed that there existed higher significant correlations between spectra reflectance of four sensitive wave bands(530,550,890,and 930 nm)and the leaf nitrogen content of soybean.After compared with those four vegetation indices,R2 of the NDVI was the best and RMSE was the smallest.The corresponding prediction model established by vegetation indices of NDVI was Y=-323.214×NDVI2(890,530)+469.9307×NDVI(890,530)-165.021,the model was suitable for estimation of leaf nitrogen concentration at different growth stages of soybean.
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