A Global Poverty Map Derived from Satellite Data

Journal Article · Thu Jan 01 00:00:00 EST 2009 · Computers & Geosciences

DOI:https://doi.org/10.1016/j.cageo.2009.01.009· OSTI ID:961792

Elvidge, Christopher D. ^[1]; Sutton, Paul S. ^[2]; Ghosh, Tilottama ^[2]; Tuttle, Benjamin T. ^[1]; Baugh, Kimberly E. ^[1]; Bhaduri, Budhendra L ^[3]; Bright, Eddie A ^[3]

---

1. NOAA National Geophysical Data Center,
2. University of Denver
3. ORNL

A global poverty map has been produced at 30 arc sec resolution using a poverty index calculated by dividing population count (LandScan2004) by the brightness of satellite observed lighting (DMSP nighttimelights). Inputs to the LandScan product include satellite-derived landcover 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 2.2billion, 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.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 961792
• Journal Information: Computers & Geosciences, Vol. 35, Issue 8; ISSN 0098-3004
• Country of Publication: United States
• Language: English

Related Subjects

58 GEOSCIENCES
99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
BRIGHTNESS
CALIBRATION
DATA
ECONOMICS
HUMAN POPULATIONS
LOW INCOME GROUPS
MAPS
REMOTE SENSING
SATELLITES
TOPOGRAPHY