Satellite images used to predict poverty

Aug 20, 2016

By Paul Rincon

Researchers have combined satellite imagery with AI to predict areas of poverty across the world.

There’s little reliable data on local incomes in developing countries, which hampers efforts to tackle the problem.

A team from Stanford University were able to train a computer system to identify impoverished areas from satellite and survey data in five African countries.


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5 comments on “Satellite images used to predict poverty

  • How about using satellite imagery and AI to predict areas of exorbitant wealth across the world?

    Among other things, this could help ensure that everybody pays their fair share of taxes.

    Ooh, I know I’m opening a can of worms with this one…



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  • How about a world where each person has an equal share in the world’s wealth, and an equal say in how that wealth should be used ? An even bigger can of worms perhaps ?



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  • Mr DArcy #2
    Aug 23, 2016 at 4:56 pm

    How about a world where each person has an equal share in the world’s wealth, and an equal say in how that wealth should be used ? An even bigger can of worms perhaps ?

    Unfortunately, a fool and his money are soon parted!

    As we saw with the Thatcher Tory initiated UK demutualisation of public assets, co-operatives, and mutual building societies, the stupid voted for being given personal control of “their share” of the joint assets, cashed it in by selling it to the corporate bankers or rich capitalists, spent it on trivia, and quickly went back to being the non-property-owning poor!



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