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Vegetation phenology data based on EVI time series

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Date: 2017-09-28

author : fangzaiyyl

 

Views: 128

Data Abstract

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 Identifier
Subject Id
Environmental and Textile
Country ID
CN
Language
English
Data Category
Category Name
Basic Geography
Category Code
01
Category Standard Name
Data classification standard of Disaster Risk Reduction Knowledge Service
Category Standard Revision
V1.0
Spatial Cover
Chongqing,China; Hubei,China; Anhui,China; Guizhou,China; Hunan,China; Jiangxi,China; Zhejiang,China; Fujian ,China; Guangxi ,China; Guangdong,China
Temporal Cover
2004-2015
Data Type
TIF
Data Volume
6789.12 MB
Data Quality
This data is complete and reliable.
Data Contributor
Contributor Name
Wang Xuecheng, Yang Fei, Gao Xing
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
Responsible Department
Resplnst Name
Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences
RespInst Address
A11 Datun Road, Chaoyang District, Beijing
Fax
Update Frequency
Irregular updates
Resources Type
Self-built
Sharing Type
After login
Price
0
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
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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
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