基于冠层反射模型的森林植被图制作

基于冠层反射模型的森林植被图制作

  132

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? Feed back

Classification(s)

Method-focused categoriesData-perspectiveRemote sensing analysis

Model Description

Chinese {{currentDetailLanguage}} Chinese

基于冠层反射模型的森林植被图制作

(1)  传感器接收到的信号被模拟为从树冠及其阴影以及在

传感器视角中的背景的反射光的组合:

 

 

 

式中,S是像元的明亮度的值;  分别代表阳光

 

照射的背景、阳光照射的树冠、背阴的树冠及其背阴的面积比例;

GCT Z是相应成分的谱信号。

LiStrahler1985)证明了如果树木在群丛中是随机分布

(泊松分布)的,而且树冠大小分布是与树的密度无关的,则:

 

 

式中,是树冠半径的均方值;M  分别是树的参数m的均值

和方差;W 是树冠半径平方值 的变分系数。

参考文献

Woodcock C E,Collons J B,Gopal S et al: 基于

冠层反射模型利用Landsat TM图像制作森林植被图。

RemoteSensing of Environment1994,50

 

How to Cite

《资源环境数学模型手册》 (2018). 基于冠层反射模型的森林植被图制作, Model Item, OpenGMS, https://geomodeling.njnu.edu.cn/modelItem/fbddeb32-7d01-4e50-af5e-1c5cddbfdef5
Copy

History

Last modifier : 
zhangshuo
Last modify time : 
2020-12-18
Modify times : 
View History

QR Code

Contributor

Initial contribute: 2018-12-04

Co-contributor(s)

Authorship

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

History

Last modifier : 
zhangshuo
Last modify time : 
2020-12-18
Modify times : 
View History

QR Code

×

{{curRelation.overview}}
{{curRelation.author.join('; ')}}
{{curRelation.journal}}









Related Items

You can link resource from repository to this model item, or you can create a new {{typeName.toLowerCase()}}.

Drop the file here, orclick to upload.
Select From My Space
+ add

These authorship information will be submitted to the contributor to review.

Cancel Submit
Cancel Submit
Localizations + Add
{{ item.label }} {{ item.value }}
Model Name :
Cancel Submit Cancel Submit
Name:
Version:
Model Type:
Model Domain:
Scale:
Purpose:
Principles:
Incorporated models:

Model part of

larger framework

Process:
Information:
Initialization:
Hardware Requirements:
Software Requirements:
Inputs:
Outputs:
Cancel Submit
Title Author Date Journal Volume(Issue) Pages Links Doi Operation
Cancel Submit
Add Cancel

{{articleUploading.title}}

Authors:  {{articleUploading.authors[0]}}, {{articleUploading.authors[1]}}, {{articleUploading.authors[2]}}, et al.

Journal:   {{articleUploading.journal}}

Date:   {{articleUploading.date}}

Page range:   {{articleUploading.pageRange}}

Link:   {{articleUploading.link}}

DOI:   {{articleUploading.doi}}

Yes, this is it Cancel

The article {{articleUploading.title}} has been uploaded yet.

OK
Cancel Confirm