1. Abadi, M., Agarwal, A., Barham, P., Brevdo, E., Chen, Z., Citro, C., Corrado, G.S., Davis, A., Dean, J., Devin, M., 2016. TensorFlow: large-scale machine learning on heterogeneous distributed systems.
2. Downscaling SMAP radiometer soil moisture over the CONUS using an ensemble learning method;Abbaszadeh;Water Resources Research,2019
3. Evaluating soil moisture retrievals from ESA's SMOS and NASA's SMAP brightness temperature datasets;Al-Yaari;Remote Sensing of Environment,2017
4. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sensing,2015
5. Validation of the ESA CCI soil moisture product in China;An;International Journal of Applied Earth Observation & Geoinformation,2016