A global poverty map derived from satellite data
A global poverty map has been produced at 30 arcsec resolution using a poverty index calculated by dividing population count (LandScan 2004) by the brightness of satellite observed lighting (DMSP nighttime lights). Inputs to the LandScan product include satellite-derived land cover and topography, p...
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| Veröffentlicht in: | Computers & geosciences 2009-08, Vol.35 (8), p.1652-1660 |
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| creator | Elvidge, Christopher D. Sutton, Paul C. Ghosh, Tilottama Tuttle, Benjamin T. Baugh, Kimberly E. Bhaduri, Budhendra Bright, Edward |
| description | A global poverty map has been produced at 30
arcsec resolution using a poverty index calculated by dividing population count (LandScan 2004) by the brightness of satellite observed lighting (DMSP nighttime lights). Inputs to the LandScan product include satellite-derived land cover and topography, plus human settlement outlines derived from high-resolution imagery. The poverty estimates have been calibrated using national level poverty data from the World Development Indicators (WDI) 2006 edition. The total estimate of the numbers of individuals living in poverty is 2.2 billion, slightly under the WDI estimate of 2.6 billion. We have demonstrated a new class of poverty map that should improve over time through the inclusion of new reference data for calibration of poverty estimates and as improvements are made in the satellite observation of human activities related to economic activity and technology access. |
| doi_str_mv | 10.1016/j.cageo.2009.01.009 |
| format | Article |
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| subjects | Areal geology. Maps BRIGHTNESS CALIBRATION DATA DMSP Earth sciences Earth, ocean, space ECONOMICS Exact sciences and technology GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE Geologic maps, cartography GEOSCIENCES HUMAN POPULATIONS LOW INCOME GROUPS Nighttime lights Poverty REMOTE SENSING SATELLITES TOPOGRAPHY World development indicators |
| title | A global poverty map derived from satellite data |
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