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The diagnostic dataset of damaged vegetation restoration based on phenology information


The diagnostic dataset of damaged vegetation restoration based on phenology information

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Date: 2017-09-28

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The diagnostic data of damaged vegetation restoration can reflect plant restoration status in time, and provide effective support for disaster recovery and reconstructions of affected vegetation. This dataset is produced by the spatial distribution of damaged vegetation and corresponding plant phenology data, which use the dynamic threshold method to monitor whether the damaged vegetation is restored or not. The dataset covers the whole of Hunan province, China, which includes 101 counties and the spatial resolution of which is 250 meters. What's more, the diagnostic result of vegetation restoration is from 2008 to 2015, the pixel value of which represents the recovery time. This dataset can be used in forest resource management and related scientific research.

Topicategory
Geography,Phenology
Language
English
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.
Access constraints
Sharing Type: Open
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 diagnostic dataset of damaged vegetation restoration based on phenology information. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, http://drr.ikcest.org/info/9f32d.
Data record num
1.01MB
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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