Data set of soil moisture in the Aral Sea Basin (2015-2018)- A Big Earth Data Platform for Three Poles

Data content: soil moisture data of the Aral Sea basin from 2015 to 2018.

Data sources and processing methods: from the National Aeronautics and Space Administration of the United States, the daily soil moisture data are added to get the sum of eight days of soil, and then divided by the number of days to get the average value of eight days of rainfall.

Data quality: the spatial resolution is 0.25 ° x 0.25 ° and the temporal resolution is 8 days. The value of each pixel is the average value of soil moisture in 8 days.

Results and prospects of data application: under the background of climate change, it can be used to analyze the correlation between meteorological elements and vegetation characteristics, and can also be combined with other meteorological data to analyze the regional distribution of a certain vegetation type.

File naming and required software

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 soil moisture of the Aral Sea on the first day of 2015.
Data reading mode: all. TIF files in the data set can be opened directly with ArcGIS, and the grid file displayed is the graphic expression of the data.

Data Citations Data citation guideline What's data citation?

Cite as:

Liu, T. (2021). Data set of soil moisture in the Aral Sea Basin (2015-2018). A Big Earth Data Platform for Three Poles, (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)

Copyright & License

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