Evapotranspiration data set of Aral Sea Basin (2015-2018)-National Tibetan Plateau Data Center

Data content: evapotranspiration data set of the Aral Sea basin from 2015 to 2018.

Data sources and processing methods: Based on IDL platform, SEBS algorithm and MODIS data of NASA were used to calculate the evapotranspiration results of the Aral Sea basin from 2015 to 2018.

Data quality: spatial resolution is 1000m × 1000m, temporal resolution is 8 days.

Results and prospects of data application: in the context of climate change, it can be used to analyze the correlation between meteorological elements and vegetation characteristics, and can also be combined with other vegetation data and ecological data to analyze land degradation.

Data file naming and use method

File name: soil moisture data is stored in grid format, and the file name is“ yyyyddd.tif ”Where yyyy represents the year and DDD represents the day of the year. For example, 2015009.tif describes the evapotranspiration of the Aral Sea on the first day of 2015.
Data reading mode: all. TIF files in the data set can be directly opened with ArcGIS, and the grid file displayed is the graphic expression of the data.

Required Data Citation View Data Cite Help About Data Citation

Cite as:

LIU Tie. Evapotranspiration data set of Aral Sea Basin (2015-2018). National Tibetan Plateau Data Center, 2021. doi: 10.11888/Meteoro.tpdc.271185. (Download the reference： RIS | Bibtex )

Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.

Support Program

Pan-Third Pole Environment Study for a Green Silk Road-A CAS Strategic Priority A Program (No:XDA20000000)

User Limit

To respect the intellectual property rights, protect the rights of data authors,expand servglacials of the data center, and evaluate the application potential of data, data users should clearly indicate the source of the data and the author of the data in the research results generated by using the data (including published papers, articles, data products, and unpublished research reports, data products and other results). For re-posting (second or multiple releases) data, the author must also indicate the source of the original data.

Example of acknowledgement statement is included below: The data set is provided by National Tibetan Plateau Data Center (http://data.tpdc.ac.cn).

License： This work is licensed under an Attribution 4.0 International (CC BY 4.0)