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Exploring the Potential of Machine Learning for Automatic Slum Identification from VHE Imagery
(CAF, 2016-11-23)
Slum identification in urban settlements is a crucial step in the process of formulation of propoor policies. However, the use of conventional methods for slums detection such as field surveys may result time consuming and ...
Measuring the size and growth of cities using nighttime light
(CAF, 2018-09-20)
This paper uses high-resolution images of nighttime luminosity to estimate a globally comparable measure of the size of metropolitan areas around the world for the years 2000 and 2010. We apply recently-proposed methodologies ...