A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2020)
File name: 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: for more information about netcdf, please see http://www.unidata.ucar.edu/software/netcdf.
Yao, P., Lu, H. (2020). A long term global daily soil moisture dataset derived from AMSR-E and AMSR2 (2002-2020). 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)
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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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