DocumentCode
2828367
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
fYear
2007
fDate
11-13 April 2007
Firstpage
1
Lastpage
4
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Urban Remote Sensing Joint Event, 2007
Conference_Location
Paris
Print_ISBN
1-4244-0712-5
Electronic_ISBN
1-4244-0712-5
Type
conf
DOI
10.1109/URS.2007.371761
Filename
4234360
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