利用Landsat_TM图像及地面收集数据对农作物面积进行估计的两种方法

利用Landsat_TM图像及地面收集数据对农作物面积进行估计的两种方法

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Initial contribute: 2018-12-04

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Affiliation:  
岳天祥编著
Email:  
yue@lreis.ac.cn
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Application-focused categoriesNatural-perspectiveLand regions

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Chinese {{currentDetailLanguage}} Chinese

利用LandsatTM图像及地面收集数据对农作物面积进行估计的两种方法

(1)    直接扩展估计模型:

为了利用直接扩展法估计各种不同农作物面积,这里采用了分层随机采样公式:

式中, h是土地利用层的数目;是对研究区域小麦面积的估计总值;是第i层小麦面积的估计总值;是第i层的基本面积,是在第i层中采样的片段数;是第i层的表面;是第i层中每个片段中小麦面积比例的平均值;是第i层每个样本中小麦的比例;是总体的估计方差;是第i层的估计方差,的估计方差。

(2)    回归估计模型:

小麦总面积T的估计值为:

  

式中,是第i层的估计回归系数,是第i层中被分类为小麦的像元的比例,是第i层中每个片段被归类为小麦的平均比例,是第i层中第j个样本中像元归类为小麦的比例。

参考文献

    Alonso F G,SoriaS L,Gozalo J M C:利用Landsat TM图像及地面收集数据对西班牙的农作物面积进行估计的两种方法的比较。Remote Sensing of Environment,1991,35

 

 

How to Cite

《资源环境数学模型手册》 (2018). 利用Landsat_TM图像及地面收集数据对农作物面积进行估计的两种方法, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/33d0493c-b053-46d9-9a97-b3d226a5a008
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Last modifier : 
haolingchen
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2020-11-02
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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 : 
haolingchen
Last modify time : 
2020-11-02
Modify times : 
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