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vector machines. J Am Water Resour Assoc 42(4):1033–1046
110. Jiang H, Cotton WR (2004) Soil moisture estimation using an artificial neural network:
a feasibility study. Can J Remote Sens 30(5):827–839
111. Kashif Gill M, Kemblowski MW, McKee M (2007) Soil moisture data assimilation
using support vector machines and ensemble Kalman filter. J Am Water Resour Assoc
43(4):1004–1015
112. Prakash R, Singh D, Pathak NP (2012) A fusion approach to retrieve soil moisture with SAR
and optical data. IEEE J Sel Top Appl Earth Obs Remote Sens 5(1):196–206
113. Wagner W, Dorigo W, de Jeu R, Fernandez D, Benveniste J, Haas E, Ertl M (2012) Fusion
of active and passive microwave observations to create an essential climate variable data
record on soil moisture. ISPRS Ann Photogramm Remote Sens Spat Inf Sci 7:315–321
Satellite Remote Sensing of Soil Moisture for Hydrological Applications. . .
281