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The dataset of restoration degree of forest vegetation in southern China


The dataset of restoration degree of forest vegetation in southern China

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Date: 2018-05-31

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The assessment on the restoration degree of damaged and unrestored forest vegetation contributes to the management of forest resources and improve the restoration model of forest vegetation, which is of great significance for restoration of forest vegetation after disaster. The EVI data of 2008-2015 is selected as the main data sources. We used the coefficient of variation method to assess the restoration degree of damaged forest vegetation. The higher the coefficient of variation, the higher the degree of restoration of forest vegetation. This dataset can be used for research on post-disaster forest vegetation restoration.

Topicategory
Geography
Language
English
Time begin
2008
Time end
2015
Contributor
Wang Xuecheng, Yang Fei, Gao Xing . Email: wangxc.15s@igsnrr.ac.cn
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, A11 Datun Road, Chaoyang District, Beijing, 100101
Access constraints
Sharing Type: Open
Service type
Data citation: The dataset of restoration degree of forest vegetation in southern China.Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO,2018.5.20.http://drr.ikcest.org/info/9157d.
Contributor agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Contributor email
wangxc.15s@igsnrr.ac.cn
Country id
CN
Data citation
The dataset of restoration degree of forest vegetation in southern China. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO,2018.5.20.http://drr.ikcest.org/info/9157d.
Data record num
7.84MB
Resperson name
Service group of Disaster Risk Reduction Knowledge Service System of IKCEST
Responsible address
A11 Datun Road, Chaoyang District, Beijing
Responsible email
ikcest-drr@lreis.ac.cn
Responsible postcode
100101
Responsible telephone
010-64889048-8006

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