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Vegetation phenology data based on EVI time series

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.

Data format
Tif
Subject
Geography
Data Level
Rough
Data time series
No
temperal
Modern times
spatial
Region
resolution
Low
Country ID
CN
Data Size
6.63GB MB
Contributor Name
Wang Xuecheng
Contributor Email
wangxc.15s@igsnrr.ac.cn
Contributor Agency
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
Creation time
2017.6.30
Resplnst Name
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
RespInst Address
A11 Datun Road, Chaoyang District, Beijing
RespInst Postcode
100101
ResPerson Name
Service group of Disaster Risk Reduction Knowledge Service System of IKCEST
ResPerson Email
ikcest-drr@lreis.ac.cn
ResPerson Telephone
010-64889048-8006
Update Frequency
Irregular updates
Version
1
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.
Last Modified
2017.6.30
Organization
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences.
Accessconstraints
Sharing Type: Open
Time Begin
2004
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