Improved daily SMAP satellite soil moisture prediction over China using deep learning model with transfer learning

•Deep learning models predicted soil moisture well with limited SMAP samples.•Transfer learning improved predictions with additional samples from ERA5-land.•Transfer ConvLSTM performed the best with over 90% variation explained.•The predictive ability of different factors was widely investigated.•Transfer learning is advocated for datasets with limited samples like SMAP.