Deep learning turns weather satellite thermal imagery into hourly ocean current maps
Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep learning to thermal images from weather satellites already in orbit, requiring no new hardware to achieve...
Image: Phys.org
Scientists have developed a new method to measure ocean surface currents over large areas in greater detail than ever before. Called GOFLOW (Geostationary Ocean Flow), the approach applies deep learning to thermal images from weather satellites already in orbit, requiring no new hardware to achieve what the researchers describe as a major advancement in ocean observation.
Originally published at Phys.org
