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机构地区:[1]中国农业大学资源与环境学院,北京100094 [2]中国农业大学信息与电气工程学院,北京100083
出 处:《光谱学与光谱分析》2007年第3期514-516,共3页Spectroscopy and Spectral Analysis
基 金:北京市自然科学基金项目(6062019);国家高技术研究发展计划"863"(2002AA130010)项目资助
摘 要:定量测定小麦活体叶片的叶绿素含量和水分含量,在小麦估产、农情监测等方面具有重要的意义,同时可为进行高光谱遥感提供基础。文章使用ASD便携式光谱仪和LI-COR 1800型积分球,在350~1650nm的光谱范围内,测量冬小麦叶片在不同生长期的反射光谱,用偏最小二乘方法建立了冬小麦叶片叶绿素和水分含量与反射光谱的定量分析模型。在400~750nm的光谱范围,建立了叶绿素含量与反射光谱的模型,结果为:叶绿素的预测值与真实值的相关系数为0.898,相对标准偏差为13.6%。在14001600nln的光谱范围,建立了水分含量与反射光谱的模型,其结果为:水分的预测值与真实值的相关系数为0.999,相对标准偏差为0.3%。在农业生产中,这些结果是满意的。For estimating the yield of wheat, and for crop growth monitoring by using hyperspectral remote sensing, it is very important to quantitatively determine the chlorophyll and water contents in live leaf of winter wheat. In the range of 350-1 650 nm, the reflectance spectrum of winter wheat' s leaf in different growth periods were scanned by ASD FieldSpec Pro FR portable spectrometer and LI-COR 1800 integrating spheres. Partial least squares method was used to develop the quantitative analysis models for chlorophyll and water contents with reflectance spectroscopy. The model of chlorophyll content with reflectance spectroscopy was built in the range of 400-750 nm, and the results show that the correlation coefficient between the estimated values and the real values is 0. 898, and relative standard deviation is 13.6% The model of water content with reflectance spectroscopy was built in the range of 1 400-1 600 nm, and the results indicate that the correlation coefficient between the estimated values and the real values is 0. 999, and relative standard deviation is 0. 3%. These results are satisfying in agricultural production.
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