Temporal neighborhood-level material wealth maps of Africa (1990-2019)

Time Series of Satellite Imagery Improve Deep Learning Estimates of Neighborhood-Level Poverty in Africa These maps contain estimates of material wealth at the neighborhood-level across Africa. These estimates were made using a novel deep-learning model for predicting material wealth based on satellite images from Landsat, DMSP and VIIRS. The model was trained on DHS survey data as described in the corresponding paper (Pettersson et al. 2023). The maps cover all populated areas according to the Global Human Settlement Layer. The spatial resolution of the maps is 6.72 x 6.72 km and the unit of measurement is the International Wealth Index (IWI), scaled from 0 to 1. Each map represents a three-year time span between 1990 to 2019. In the tif file these maps are stored as bands in the image, resulting in the following configuration: Band 1: IWI estimates for 1990-1992 Band 2: IWI estimates for 1993-1995 Band 3: IWI estimates for 1996-1998 Band 4: IWI estimates for 1999-2001 Band 5: IWI estimates for 2002-2004 Band 6: IWI estimates for 2005-2007 Band 7: IWI estimates for 2008-2010 Band 8: IWI estimates for 2011-2013 Band 9: IWI estimates for 2014-2016 Band 10: IWI estimates for 2017-2019 For a full explanation of the map-generating process and estimates, see the corresponding paper.