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Vegetation phenology data based on EVI time series


Vegetation phenology data based on EVI time series

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Date: 2017-09-28

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The vegetation phenology data can reflect the plant growth status on a certain extent, which is an important tool for describing global climate change and terrestrial ecosystem responses. This dataset is produced by a professional software--TIMESAT, which runs on the Matlab environment and can extract the vegetation phenology data with vegetation indices time series. Using the method of the time series reconstructions algorithm (S-G filtering) , the enhanced vegetation index is selected as source data to various phenology data in this dataset, which covers 4 region (h27v05, h27v06, h28v05 and h28v06). The phenology can be used as vegetation growth foctor to monitor the vegetation growth condition.

Topicategory
Geography
Language
English
Time begin
2004
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.
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
Vegetation phenology data based on EVI time series. Disaster Risk Reduction Knowledge Service of International Knowledge Centre for Engineering Sciences and Technology (IKCEST) under the Auspices of UNESCO, 2017.6.30. http://drr.ikcest.org/info/9b45c.
Data record num
6.63GB
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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