This repository contains source code for training a feed forward neural network to downscale soil mositure estimates from the Soil Moisture Active Passice (SMAP) mission Enhanced L3 Global 9 km EASE-Grid product to a 2.25 km EASE-Grid. Details of the methodolody can be found in the following manuscript:
Alemohammad, S. H., Kolassa, J., Prigent, C., Aires, F., and Gentine, P.: Global Downscaling of Remotely-Sensed Soil Moisture using Neural Networks, Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2017-680, in review, 2018.