Machine Learning Combination of LEO and GEO Satellites for Design and Monitoring of Ocean Wind Energy

Based on the combination of low altitude and geostationary satellite sensor large database, the use of machine learning algorithm now let to produces some kind of virtual ocean surface wind fields under clouds - observed by geostationary satellites -while there is no actual observation of these winds. As a result, it is then possible to extrapolate ocean surface wind database from a smart combination of low altitude satellites and the high frequency acquired data from geostationary satellites. This database is then available to investigate climatologic relevant location of wind powerful areas. The same process may be available to monitor the wind energy plant in real time by using geostationary satellite every few minutes refresh.