Modelling the Wealth Index of Demographic and Health Surveys within Cities Using Very High-Resolution Remotely Sensed Information

A systematic and precise understanding of urban socio-economic spatial inequalities in developing regions is needed to address global sustainability goals. At the intra-urban scale, access to detailed databases (i.e., a census) is often a difficult exercise. Geolocated surveys such as the Demographi...

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Váldodahkkit:	Stefanos Georganos, Assane Niang Gadiaga, Catherine Linard, Tais Grippa, Sabine Vanhuysse, Nicholus Mboga, Eléonore Wolff, Sébastien Dujardin, Moritz Lennert
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	MDPI AG 2019-10-01
Ráidu:	Remote Sensing
Fáttát:	wealth index dhs very-high-resolution remote sensing interpolation machine learning poverty
Liŋkkat:	https://www.mdpi.com/2072-4292/11/21/2543
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