Researchers at the Image Processing Laboratory (IPL) of the University of Valencia, in collaboration with the University of Oxford and the Phi-Lab of the European Space Agency (ESA), have developed a model for flood detection based on neural networks. It's called WorldFloods and has been launched into space by aerospace company D-Orbit from Cape Canaveral. In terms of flooding, observing the Earth from space provides valuable information for decision-making on the ground. Large constellations of small nanosatellites--the CubeSats--are a promising solution to reduce revisitation time from days to hours--as long as it takes a sensor to re-cover a location--in disaster areas. However, data transmission to terrestrial receivers is limited by the power and bandwidth restrictions of the cubes.

Researchers at the Image Processing Laboratory (IPL) of the University of Valencia, in collaboration with the University of Oxford and the Phi-Lab of the European Space Agency (ESA), have developed a model for flood detection based on neural networks. It's called WorldFloods and has been launched into space by aerospace company D-Orbit from Cape Canaveral. In terms of flooding, observing the Earth from space provides valuable information for decision-making on the ground. Large constellations of small nanosatellites – the CubeSats – are a promising solution to reduce revisitation time from days to hours – as long as it takes a sensor to re-cover a location – in disaster areas. However, data transmission to terrestrial receivers is limited by the power and bandwidth restrictions of the cubes.