| 利用反射光谱信息提取叶片水分含量的方法比较 |
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| 引用本文： | 董晶晶,牛铮,沈艳,袁金国.利用反射光谱信息提取叶片水分含量的方法比较[J].江西农业大学学报,2006,28(4):587-591. |
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| 作者姓名： | 董晶晶 牛铮 沈艳 袁金国 |
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| 作者单位： | 中国科学院,遥感应用研究所遥感科学国家重点实验室,北京,100101;中国科学院,遥感应用研究所遥感科学国家重点实验室,北京,100101;南京信息工程大学,气象学院,江苏,南京,210044;中国科学院,遥感应用研究所遥感科学国家重点实验室,北京,100101;河北师范大学,资源与环境科学学院,河北,石家庄,050016 |
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| 基金项目： | 中国科学院知识创新工程重大项目(KZCX1-SW-01-02)，国家重点基础研究发展规划项目(G2000077902、G2000077900) |
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| 摘 要： | 实验采集了21个样区10余种类型植被的叶片信息,其中包括52组反射光谱数据(350 nm~2 500 nm),对应的叶片含水量(相对含水量FMC和等效水厚度EWT)。分析了叶片反射率与含水量之间的相关关系。实验结果表明EWT与叶片反射率之间存在较好的线性相关关系,而FMC与叶片反射率相关关系较差。通过选取不同光谱波段构造多个光谱指数,研究光谱指数与叶片含水量的相关关系,发现构造指数方法优于普通的光谱回归分析,其中,Ratio975和Ratio1 200效果最好。同时在利用光谱指数反演叶片含水量时,对于EWT仍存在较高的反演精度。
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| 关 键 词： | 叶片含水量 反射率 光谱指数 |
| 文章编号： | 1000-2286（2006）04-0587-05 |
| 收稿时间： | 2006-03-10 |
| 修稿时间： | 2006-06-12 |
Comparison of the Methods of Obtaining Leaf Water Content by Using Reflectance Data |
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| DONG Jing-jing,NIU Zheng,SHEN Yan,YUAN Jin-guo.Comparison of the Methods of Obtaining Leaf Water Content by Using Reflectance Data[J].Acta Agriculturae Universitis Jiangxiensis,2006,28(4):587-591. |
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| Authors: | DONG Jing-jing NIU Zheng SHEN Yan YUAN Jin-guo |
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| Institution: | 1. The State Key Laboratory of Remote Sensing Science, Jointly Sponsored by the Institute of Remote Sensing Applications of Chinese Academy of Sciences and Beijing Normal University, Chinese Academy of Sciences, Beijing 100101, China; 2. College of Meteorology, Nanjing University of Information Science and Technology, Nanjing 210044, China; 3. College of Resource and Environmental Sciences, Hebei Normal University, Shijiazhuang 050016 |
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| Abstract: | In the experiment,ten kinds of plant leaves were collected from 21 different sample areas.With these leaves,data were collected as follows: leaf water content(including Fuel Moisture Content and Equivalent Water Thickness),the corresponding reflectance.Using the statistical model,the relationship between leaf water content and leaf reflectance was studied.The result showed that EWT(Equivalent Water Thickness) had a better linear correlation with reflectance than FMC(Fuel Moisture Content).Besides the statistics,constructing spectral index is another method.In this paper,seven spectral indexes are mentioned and they are obviously more effective than the statistical method mentioned above,especially the spectral indexes Ratio_(975) and Ratio_(1 200).In the second part of the study,EWT can still be inverted with higher precision. |
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| Keywords: | leaf water content reflectance spectral index |
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