Predicting Poverty By Satellite With Detailed Accuracy (VIDEO)

American Association for the Advancement of Science (AAAS)

Caption

This is a short animated video providing an overview of how satellite imagery and machine learning can be combined to map poverty around the world. This material relates to a paper that appeared in the Aug. 19, 2016, issue of Science, published by AAAS. The paper, by Neal Jean at Stanford University in Stanford, CA, and colleagues was titled, "Combining satellite imagery and machine learning to predict poverty."

Credit

Data from: N. Jean, M. Burke, M. Xie, W.M. Davis, D. Lobell, S. Ermon., "Combining satellite imagery and machine learning to predict poverty." Science, 2016

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Please cite the owner of the material when publishing. This material may be freely used by reporters as part of news coverage, with proper attribution. Non-reporters must contact <i>Science</i> for permission.

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