Flooded Areas Spotted By Social Media Data, Machine-Learning

It seems that a new kind of machine-learning algorithm that works in tandem with social media and remote sensing, has managed to successfully identify flooded areas, all without the need to fall back on the use of satellites. This is definitely a breakthrough that is worth checking out, as it makes use of a combination of Twitter and Flickr, in addition to remote sensor data, so that flooded areas are identified – at least this is what a bunch of university researchers claim. They also cite that this is a far speedier method as opposed to using publicly available satellite images, as such imaging could take days before being made available. It is the algorithms used which are the “glue” in holding everything together, and the computer will then pick…


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