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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Bibliographische Detailangaben
Veröffentlicht in:	Computers & geosciences 2009-08, Vol.35 (8), p.1652-1660
Hauptverfasser:	Elvidge, Christopher D., Sutton, Paul C., Ghosh, Tilottama, Tuttle, Benjamin T., Baugh, Kimberly E., Bhaduri, Budhendra, Bright, Edward
Format:	Artikel
Sprache:	eng
Schlagworte:	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
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