光谱-生物物理学数据的多地点分析模型

光谱-生物物理学数据的多地点分析模型

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contributed at 2018-12-04

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Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Method-focused categoriesData-perspectiveRemote sensing analysis

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光谱-生物物理学数据的多地点分析模型

  1)对分别处于叶面积指数最大值前和后的sorghum的生长期阶段,归一化差异指数(Irv)的线性回归方程为:

式中,L是生长期中最大值前和后阶段的叶面积指数。

    2)对正交植被指数(PVI),线性回归方程为:

      对红光和近红外辐射的反射率R,有

           

式中,Rv是植被冠层的反射率的渐近极限值;Rg是裸地的反射率;k是冠层的吸收-散射系数。

参考文献

    Richardson A J,Wiegand C L,Wanjura D F et al:Sorghum的光谱-生物物理学数据的多地点分析。Remote Sensing of Environment199241

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How to Cite

《资源环境数学模型手册》 (2018). 光谱-生物物理学数据的多地点分析模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/186f3aaa-8808-49aa-81a2-d10644f1fb63
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Last modifier : 
Kai Wu
Last modify time : 
2020-11-17
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Contributor(s)

Initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
View
Is authorship not correct? Feedback

History

Last modifier : 
Kai Wu
Last modify time : 
2020-11-17
Modify times : 
View History

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