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 producted 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 to vegetation growth factor to monitor the vegetation growth condition.
Elements (content fields)
(The list describes the feature items (content fields) contained in the dataset/atlas. The code dictionary table should be given if the element is a code, and the meaning of the code should be indicated. Each data file (layer) should be described accordingly if the datasets/atlas have multiple data files (layers).)
Temporal cover
(Temporal cover means the time information of the dataset/atlas content that can be recorded as a time point or a time period (start time and end time).) The dataset coverage is 2004 to 2015.
Spatial cover
(The spatial information of the dataset/atlas includes the location description information or the latitude and longitude coordinates (latitude and longitude data should follow the format of degree, minute and second). It can be a single location or a spatial range (latitude and longitude coordinates in the upper left and lower right corners).
The dataset covers h27v05, h27v06, h28v05 and h28v06 (refers to the standard of MODIS zoning ).
Subject scope
(The subject classification of the dataset/atlas is based on the “Subject Classification and Code (GB/T 13745-2008)”. The general requirements of a primary classification or a number of auxiliary classifications should reach the second level of classification, and may also reach the third level of classification.)
Industry scope
(The industry classification of the dataset/atlas is based on the “Industry Classification of National Economy and Code Table (GB/T 4754-2002)”. The general requirements of a primary classification or a number of auxiliary classifications should reach the second level of classification, and may also reach the third level of classification.)
Other classifications (optional)
Other categories can be applied, but should reflect the dataset/atlas characteristics.
Time frequency
(Time frequency is the representation content of datasets/atlas’ time frequency, such as multi-year average, average, monthly, daily, yearly, month by month, day or hour.)The time frequency is year by year.
Spatial reference, accuracy, and granularity
(This part is the spatial reference, accuracy, and granularity of datasets/atlas. The spatial reference includes coordinate system, projection mode, elevation system, etc. Spatial accuracy means the vector data scale or raster data resolution, etc. Spatial granularity is in accordance with the continent, the state, province, county, and other divisions.)
The dataset uses UTM zoning projection;
The dataset covers h27v05, h27v06, h28v05 and h28v06 (refers to the standard of MODIS zoning);
The spatial resolution is 250m.
Data quantity
(Data quantity means dataset/atlas’ data volume (in MB) or record number (for monitoring data or table data).)
The data quantity is 6.6GB.
Type format
(Type format means dataset/atlas storage medium (paper and electronic media, including CD, hard disk, server, etc.), structure type (text, table, vector, raster, etc.), and its specific format and version.)
The dataset is stored as hard disk, and data structure type is a raster TIF file.
Update management
(Dataset/atlas update plan: the data provider should indicate whether there is a data update plan, and if necessary, specify the update frequency and the person responsible for it. The information of the person responsible for updating management includes institute name, name of the person responsible, contact information (mailing address, telephone, and e-mail), and other relevant information.))
No update plan
Production mode
(The production mode of the dataset/atlas mainly includes raw data (field monitoring, investigation survey, test analysis, experimental test, acquisition, and similar data) and processing data (electronic, digital, integrated conversion, standardized processing, computational simulation, and similar data).)
The raw data is reconstructed by EVI time series based on dynamic threshold method, which is used to extract various phenological parameters year by year.
Data sources (condition selection)
(The source, accuracy of the raw data, and scope of application for the raw data collected, purchased, exchanged, and shared and the data generated by processing must be explained. You may leave this blank and indicate “self-built” when the dataset is the first-hand observation data.)
The MODIS/EVI sources from MODIS website.
Methods of the data acquisition and processing (condition selection)
(For the data of collection, monitoring, testing, processing , must explain the collection and the processing methods. The specifications include the equipment, standards, and methods for data acquisition, monitoring, testing, and usage and methods and models (the model origin and parameters) or software of processing, calculation method, and the methods (standards, etc.) of error control and processing. The data provider may leave this blank and just indicate “raw data, without processing” when the dataset is the original acquisition without any processing.)
Based on the Timesat software platform, the S-G filter algorithm is used to perform spatial filtering on the EVI time series data. Based on this, the corresponding phenological parameters are extracted with the dynamic threshold method.
Sharing methods and restrictions
(The sharing method can be one of three possible types: full and open sharing, agreement sharing, and temporarily unshared. Full and open sharing is when the user can freely access the dataset/atlas. Agreement sharing means obtaining a dataset/atlas after signing a shared agreement with an application for the responsible party or a delegated regulatory agency. Temporarily unshared means that the data cannot be accessed at present or only be shared after the approval of the management department . Agreement sharing needs to explain the specific requirements, while temporarily unshared needs to explain the reasons and the limit of the open time.)
Fully shared
Contact information of the sharing service (condition selection)
(Full and open sharing need to provide an online link address or a service contact. Protocol sharing needs to provide the time and contact information of the service. The data provider may leave this blank and just indicate “service provided by the collection management institute” if the dataset/atlas is only served by the collection management institution.)
The service is as follows:
Name: Wang xuecheng
Mailing address: Chaoyang District, Beijing Datun Road on the 11th
Zip code: 100101
E-mail：wangxc.15s@igsnrr.ac.cn
Property rights (optional)
(The dataset/atlas property ownership information includes the property owner contact information.)
"Vegetation phenology data based on EVI time series" owned by institute of geographic sciences and natural resources research, CAS.
Reference method of the dataset/atlas
(Dataset/atlas usage statement and citation: (ⅰ) usage statement refers to identify the dataset/atlas used in the user’s research results text, while (ⅱ) citation refers to identify the dataset/atlas used in the references of the research results , or list must be referenced published papers or monographs closely related to the dataset/atlas. It can be in either Chinese or English form or only in Chinese.)
(The usage statement can follow the following method:
Usage contacts of the datasets/atlas
(The contact persons or agencies, who curate the data and provide a data sharing service, should be listed, including their name, address, postcode, telephone, and e-mail).
Contact person
Name: Wang xuecheng
Mailing address: Chaoyang District, Beijing Datun Road on the 11th
Zip code: 100101
E-mail：wangxc.15s@igsnrr.ac.cn
In addition to the above, other information must also be explained.
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