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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

 

 

http://science.sciencemag.org/content/353/6301/790

 

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.

 

 

B

Bhaskaran Balakrishnan

Chief, R&D, Congressional Research Service Group

OCIO

Library of Congress