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冬小麦活体叶片叶绿素和水分含量与反射光谱的模型建立
引用本文:吉海彦,王鹏新,严泰来.冬小麦活体叶片叶绿素和水分含量与反射光谱的模型建立[J].光谱学与光谱分析,2007,27(3):514-516.
作者姓名:吉海彦  王鹏新  严泰来
作者单位:1. 中国农业大学资源与环境学院,北京,100094;中国农业大学信息与电气工程学院,北京,100083
2. 中国农业大学信息与电气工程学院,北京,100083
基金项目:北京市自然科学基金 , 国家高技术研究发展计划(863计划)
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350~1 650nm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400~750 nm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1 400~1 600 nm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.

关 键 词:反射光谱  定量分析模型  偏最小二乘法  冬小麦  活体叶片
文章编号:1000-0593(2007)03-0514-03
收稿时间:2005-12-08
修稿时间:2006-03-28

Estimations of Chlorophyll and Water Contents in Live Leaf of Winter Wheat with Reflectance Spectroscopy
JI Hai-yan,WANG Peng-xin,YAN Tai-lai.Estimations of Chlorophyll and Water Contents in Live Leaf of Winter Wheat with Reflectance Spectroscopy[J].Spectroscopy and Spectral Analysis,2007,27(3):514-516.
Authors:JI Hai-yan  WANG Peng-xin  YAN Tai-lai
Institution:1. College of Resource and Environment, China Agricultural University, Beijing 100094, China 2. College of Information and Electrical Engineering, China Agricultural University, Beijing 100083, China
Abstract: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 350-1650 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 1400-1600 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.
Keywords:Reflectance spectrum  Quantitative analysis models  Partial least squares  Winter wheat  Live leaf
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