稀疏植被的NDVI-TS关系及蒸腾率的估算模型

稀疏植被的NDVI-TS关系及蒸腾率的估算模型

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contributed at 2018-12-04

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Affiliation:  
岳天祥编著
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yue@lreis.ac.cn
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稀疏植被的NDVI-TS关系及蒸腾率的估算模型

(1)    NDVI被认为是植被覆盖比例()的指示器时,之间的关系可利用与植被温度间的隐含的信息进行估计。表示土壤()与植被的复合温度,通常可表示为一种简单的相加关系:

式中,可通过将的回归曲线外推到茂密植被处而得到。

(2)     通过在地表植被成分处应用能量平衡方法,稀疏植物的瞬时蒸腾率()可估计为:

式中,是植被吸收的净辐射;是冠层内叶片与空气间的显热通量。

(3)    陆地面积的蒸腾率()可估计为:

 

式中,是树的汁液流量l是叶面积;是叶面积指数。

(4)    所有的表面温度数据都与长波辐射的测量值()有以下关系:

式中,是稀疏植被的系数;是大气发射系数;Stefan Boltzmann常数;则通过对分布函数对相应波长进行积分而求得。

(5)    可利用Beer定律进行以下计算,对光线的方向进行了校正可以用下式进行:

式中,是在冠层上方测量的净辐射;K是净辐射在冠层内的消光系数。

(6)    可利用两天的叶片温度进行计算:

式中,表示平均叶片温度;是空气的热容量;是体积叶片边界导率。

      

式中,是大气阻率,利用ShuttleworthGurney1990)针对稀疏植被提出的模型计算;H是冠层的显热通量。

(7)    10.00h的蒸腾率最后可表示为:

式中,是入射的太阳辐射;是球形辐射的半球面反射系数。

(8)    贡献给植被的净辐射比例为:

参考文献

    Boegh E,Soegaard H,Hanan N et al:基于高解析的卫星数据对Sahel地区的稀疏植被的NDVI-关系及蒸腾的遥感研究。Remote Sensing of Environment,199969

 

 

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How to Cite

《资源环境数学模型手册》 (2018). 稀疏植被的NDVI-TS关系及蒸腾率的估算模型, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/ef0ea7c4-c1e3-426f-9844-06ab50179c3b
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tingxin
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initial contribute: 2018-12-04

Authorship

Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
Homepage:  
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Last modifier : 
tingxin
Last modify time : 
2020-11-10
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