This data set is a global daily scale surface soil moisture data set covering 10 years (2010-2019), with a resolution of 36 km, using the EASE-Glid2 projection coordinate system, and the data unit is m3/m3. The data set uses the soil moisture neural network inversion algorithm developed by Yao et al. (20172021) to transfer the advantages of SMAP to FY-3B/MWRI, and uses the artificial neural network method to train SMAP standard soil moisture products, With the bright temperature of FY-3B/MWRI as the input, the long-term soil moisture data will be output finally. The precision of soil moisture is close to SMAP, reaching about 5%. (Verification accuracy of 14 dense observation stations worldwide).
File name: the file name is "FY yyyyddd. tif", where yyyy represents the year and ddd represents Julian date
Lu, H., Yao, P., Zhao, T., Wu, S., Shi, J. (2022). Daily Scale Soil Moisture Data Set of the Yangtze River in China Based on the MWRI Data of FY-3B Microwave Imager of Fengyun Satellite (2010-2019). Upper Yangtze River Scientific Data Center, (Download the reference：
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| East: 112.00 | West: 90.00 |
|---|---|
| South: 24.00 | North: 36.00 |
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