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  • How satellite images are helping one country hand out cash

    Richard Kenny Hannah Gelbart

    March 24, 2021 |

    BBC |

    Broadcast TV News |

    3-5 Minutes

    Response Location: Togo

    "Poverty maps" that combine satellite imagery and survey data enabled the Togolese government to target emergency pandemic charitable aid to the people in greatest need. Togo officials relied on the expertise of University of California-Berkeley researchers whose system interprets aerial images showing such factors as the density and condition of housing. Initially, 35,000 people received $13-$15 per month for five months to make up for the loss of jobs and small-business income during pandemic shutdowns. Applications were sought from targeted areas through advertising, and money was sent via mobile phones.

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  • Using satellite photos to help distribute cash

    Hannah Gelbart

    March 16, 2021 |

    BBC |

    Podcast |

    Over 15 Minutes

    Response Location: Togo

    Togo distributed money to people in need, including informal sector workers, by identifying them using machine learning. Algorithms search satellite photos for clues of poverty, using measures like building density, and individuals within those areas are found using mobile phone data as a proxy of their wealth. Media campaigns also encourage people to apply for assistance. Once eligibility is confirmed, the first of five monthly payments is instantly sent to their phone and can be collected at local pick-up points. People without mobile phones can use an inexpensive SIM card in a borrowed phone.

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