A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2022)
The soil moisture data is stored in netcdf format, and the file name is“ yyyyddd.nc ”, where yyyy stands for year and ddd stands for Julian date. For example, 2003001.nc represents this document describe the global soil moisture distribution on the first day of 2003.
How to read data:
The data is EASE-grid equal-area projection data (with varying latitude and longitude intervals)， rather than usual equal-latitude-longitude data. (for more information about EASE-grid projection, please see https://nsidc.org/data/ease)
The NC file of data stores three variables: latitude matrix, longitude matrix and soil moisture matrix, which are latitude (406*1), longitude（964*1） and soil_moisture (406*964) respectively. Projection information is not stored.
A. NC file can be directly read using software such as Matlab. For more information about netcdf, please see http://www.unidata.ucar.edu/software/netcdf.
B. If you want to convert NC file to TIF format, you need a .tif template data with EASE-grid 36km. We provide this data named EASEGrid2_36km.tif, please see the data folder. Here is a tutorial transferring EASE_grid file to TIF, written by a student in our group. https://blog.csdn.net/weixin_38953602/article/details/101158084
Yao, P., Lu, H. (2020). A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2022). National Tibetan Plateau Data Center, DOI: 10.11888/Soil.tpdc.270960. CSTR: 18406.11.Soil.tpdc.270960. (Download the reference： RIS | Bibtex )Related Literatures:
1. Yao, P.P., Shi, J.C., Zhao, T.J., Lu, H. & Al-Yaari, A. (2017). Rebuilding Long Time Series Global Soil Moisture Products Using the Neural Network Adopting the Microwave Vegetation Index. Remote Sensing 9(1), 35.( View Details | Bibtex)
2. Yao, P.P., Lu, H., Shi, J.C., Zhao, T.J., Yang K., Cosh, M.H., Gianotti, D.J.S., & Entekhabi, D. (2021). A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2019). Scientific Data, 8, 143 (2021). https://doi.org/10.1038/s41597-021-00925-8( View Details | Bibtex)
Using this data, the data citation is required to be referenced and the related literatures are suggested to be cited.
Second Tibetan Plateau Scientific Expedition Program
the National Key Research and Development Program of China (No:2017YFA0603703)
the Strategic Priority Research Program of Chinese Academy of Sciences (No:XDA20100103)
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)
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