Machine learning is cutting down the time it takes to generate flood maps from 24 hours to just 1 to 2 minutes.

Researchers at Democritus University of Thrace have launched a groundbreaking program, EpiSafeNet, aimed at flood risk ...

Image shows a flooded village in the Maldives, a SIDS and the smallest country in Asia. A new study has exposed for the first ...

I wish we could do more…” He went on to say that the rainfall from Kristine was almost double that of Ondoy, as he explained why the flood control failed and ... Project NOAH (Nationwide Operational ...

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Learn more about data risk in solar energy development in PV Tech's webinar with PVCase, next Wednesday 13th November at 4 pm ...

There was a 36 percent increase in the size of the public charging network in Lancashire – made up of both council-run and ...

Lancashire will need to see an eight-fold increase in the number of electric vehicle charging points by the end of the decade ...

Rapid Disaster Assessment: Today, AI models that leverage high-resolution satellite data can provide near-real-time disaster ...

As another winter storm arrives, demand is surging at Boulder’s largest homeless shelter, All Roads. Over the first three days of this week, as temperatures dropped and snow fell, the shelter turned ...

The Gold Coast’s feral deer population is in the firing line, with aerial shooting using helicopters being considered as ...

A newly published study has mapped glacial debris across the Greater Caucasus, the mountainous region between the Black and ...