紫花苜蓿冠层反射光谱与叶片含水率关系研究

以呼图壁县草地生态站不同灌溉量下现蕾期紫花苜蓿冠层光谱反射率为研究对象，研究确定紫花苜蓿叶片含水率的光谱诊断模型。结果表明：（1）在近红外波段随着紫花苜蓿叶片含水率的增加冠层光谱反射率逐渐减小;（2）利用归一化反射光谱建立的苜蓿叶片含水率光谱反演模型优于原始反射光谱，并且在1 344～1 660 nm波段内所建立的苜蓿叶片含水率预测模型平均相对误差最低（7.8%）。（3）筛选建立的叶片含水率光谱诊断模型为：Y＝0.962-7.560X_{1 451}+5.295X_{1 473}。所建立的紫花苜蓿叶片含水率光谱预测模型可为苜蓿科学灌溉提供决策依据。

Study on Relationship Between Alfalfa Canopy Spectral Reflectance and Leaf Water Content

In the present study, alfalfa canopy reflectance was researched at alfalfa squaring period under different irrigation amount at the hutubi county grassland ecological station. Determining the spectral diagnostic model of alfalfa leaf moisture content was determined by spectrometry. The results showed that (1) The spectral reflectance of alfalfa canopy gradually decreases with the increase in the leaf water content in the near infrared. (2) The spectral inversion model of alfalfa leaf moisture content established by normalized reflectance spectra is superior to the original reflectance spectra, and the prediction model established in the 1 344~1 660 nm band has the lowest average relative error (7.8%). (3) In this study, the spectral diagnostic model of the leaf moisture content is: Y＝0.962-7.560X_{1 451}+5.295X_{1 473}. The spectral prediction model of the alfalfa leaf moisture content can provide a basis for decision making for scientific irrigation of alfalfa.