This paper has a long history and explore the idea that geostatistics can be used to integrate satellite information when this is missing. At the same time the whole information is used for assimilated for better driving the Community Land Model. Thank you to Han Xujun for pursuing the publication, when I abandoned any hope, notwithstanding that the paper is a good one.
The paper is entitled: Soil Moisture Estimation by Assimilating L-Band Microwave Brightness Temperature with Geostatistics and Observation Localization, and my co-authors are (in order):
Han Xujun, Xin Li, Rui Jin, and Stefano Endrizzi. The paper has been accepted by PLOSONE, and you can find the pre-print here.
Other papers by Xujun are available from his Research Gate Profile.
A little of further bibliography:
Han, X. J., et al. (2014). "Soil moisture and soil properties estimation in the Community Land Model with synthetic brightness temperature observations." Water Resources Research 50(7): 6081-6105.
Han, X. J., et al. (2013). "Joint Assimilation of Surface Temperature and L-Band Microwave Brightness Temperature in Land Data Assimilation." Vadose Zone Journal 12(3).
Han, X., et al. (2012). "Spatial horizontal correlation characteristics in the land data assimilation of soil moisture." Hydrology and Earth System Sciences 16(5): 1349-1363.