Interesting study – Thanks!


From: Geospatial Hosting Environment [mailto:[log in to unmask]] On Behalf Of Balakrishnan, Bhaskaran
Sent: Monday, August 22, 2016 12:38 PM
To: [log in to unmask]
Subject: [FYI] Interesting research: Combining satellite imagery and machine learning to predict poverty


Measuring consumption and wealth remotely

Nighttime lighting is a rough proxy for economic wealth, and nighttime maps of the world show that many developing countries are sparsely illuminated. Jean et al. combined nighttime maps with high-resolution daytime satellite images (see the Perspective by Blumenstock). With a bit of machine-learning wizardry, the combined images can be converted into accurate estimates of household consumption and assets, both of which are hard to measure in poorer countries. Furthermore, the night- and day-time data are publicly available and nonproprietary.




Bhaskaran Balakrishnan

Chief, R&D, Congressional Research Service Group


Library of Congress