玉米光谱-生物物理学数据的多地点分析模型

玉米光谱-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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Chinese {{currentDetailLanguage}} Chinese

玉米光谱-生物物理学数据的多地点分析模型

   1SAS非线性方法和模型形式:

式中,YPAR吸收比例,或4个植被指数IgvIpvIndvIrv中任意一个;X是绿色叶面积指数;Ci是在较大的L值时‘Y’的渐进极限值;Ai是透射系数,当‘Y’是Rfpa时,L=0,当‘Y’是Indv时,Indv取值为I减去裸地的Indv值;Bi是相应波段的吸收-散射系数,其依赖于叶的方位角分布及太阳顶角;i是区分标志。

2)根据在多地点进行的玉米实验,得到:

式中,LZ=L/cosZZ是太阳顶角。

       

     3)玉米的叶片质量(ml)于L的关系为:

 

参考文献

    WiegandG L,Gerbermann A H,Gallo KP et al:玉米光谱-生物物理学数据的多地点分析,Remote Sensing of Environment,199033

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How to Cite

《资源环境数学模型手册》 (2018). 玉米光谱-生物物理学数据的多地点分析模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/e2488fb1-cad5-4e76-9630-dc4955833de4
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Last modifier : 
Kai Wu
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2020-11-12
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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 : 
2020-11-12
Modify times : 
View History

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