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A new map made with AI has been launched to help shed light on life in under-mapped parts of the world.
This week, the UN and Google launched the first map to show high-resolution building footprints and heights in Africa and across the global South, covering every year from 2016 to 2023.
Those parts of the world were often only mapped with low-quality images that made it hard to see how settlements changed over time or how people lived.
However, the team used AI to extract building footprints and heights from low-resolution satellite images that were already being taken every five days.
“Not knowing where buildings are is a big problem for lots of practical reasons,” said Google researcher John Quinn. “If you’re creating services or vaccination campaigns or rescuing people after an emergency, this is an issue.”
“We want people in the global South making policy decisions to have the same tools available as the global North,” said Abdoulaye Diack, who was a programme manager on the project.
Kumasi, the second largest city in Ghana in 2016. Pic: Open Buildings, Google
The AI model has been trained to spot what different types of buildings look like, and because it analyses satellite images that are taken regularly, it can spot how even temporary settlements like refugee camps change.
There are limitations however, and as yet, it can’t identify improvised shelters or tents.
It’s also limited by weather, as the AI needs clear skies to accurately identify buildings.
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That can mean it is less reliable in some areas, or during periods of rainy or…
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