Title :
Can Poverty Rates Be Estimated Using Satellite Data?
Author :
Elvidge, Christopher D. ; Baugh, Kimberly E. ; Howard, Ara T. ; Sutton, Paul C. ; Turtle, B.T. ; Erwin, Edward H.
Author_Institution :
NOAA Nat. Geophys. Data Center Boulder, Boulder
Abstract :
Standard methods for estimating poverty rates produce aggregated results for individual countries or administrative units. There are a wide number of potential applications for disaggregated grids of population numbers in poverty. We have investigated the possible use the brightness of satellite observed nighttime lights along with along with gridded population count data in the estimation of poverty numbers. Preliminary results indicate that in general lighting is dimmer or absent in areas with high poverty numbers. It is likely that several calibration curves would need to be developed to account for cultural and technological differences in lighting.
Keywords :
geophysical signal processing; lighting; remote sensing; socio-economic effects; calibration curve; cultural-technological difference; disaggregated grid; lighting detection; poverty rate estimation; remote sensing; satellite data; standard method; Brightness; Calibration; Cities and towns; Earth; Economic indicators; Environmental economics; Humans; Remote sensing; Satellites; Surfaces;
Conference_Titel :
Urban Remote Sensing Joint Event, 2007
Conference_Location :
Paris
Print_ISBN :
1-4244-0712-5
Electronic_ISBN :
1-4244-0712-5
DOI :
10.1109/URS.2007.371761