农作物生物量和水分状况的微波植被指数探测模型

农作物生物量和水分状况的微波植被指数探测模型

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Contributor(s)

Initial contribute: 2018-12-04

Authorship

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

Model Description

Chinese {{currentDetailLanguage}} Chinese

农作物生物量和水分状况的微波植被指数探测模型

(1) 从陆地表面发出的到达被动式传感器天线的p极化微波热辐射可归于陆地贡献成分,加上大气和天空的下行辐射在陆地的反射及在地表与传感器之间的大气中的上行辐射

式中,为沿顶角和方位角p极化辐射的亮度t是大气透射率;是陆地表面的反射率。

(2) 辐射通量与发射体亮度温度的关系可表示为:

式中,kBoltzmann常数;L是辐射波长。

(3) 对均匀的等温介质,与发射体的热力学温度T的关系可用下面方程表示:

式中,是发射率。

参考文献:

Paloscia S, Pampaloni P:探测农作物生物量和水分状况的微波植被指数。Remote Sensing ofEnvironment199240

How to Cite

《资源环境数学模型手册》 (2018). 农作物生物量和水分状况的微波植被指数探测模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/2cdcc0f7-c16c-479c-9141-9a94c9e6a8ea
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Last modifier : 
zhengzhong
Last modify time : 
2020-12-24
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Contributor

Initial contribute: 2018-12-04

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Authorship

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

History

Last modifier : 
zhengzhong
Last modify time : 
2020-12-24
Modify times : 
View History

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