Urban environment analysis for population estimation using high resolution satellite images
Abstract
The objective of this research was to evaluate the applicability of high spatial resolution remote sensing data for the estimation of urban population in the intercensus periods in the Brazilian city of São José dos Campos. Digital IKONOS-2 data were used. Data analysis was conducted using SPRING (GIS). The procedure attempted to identify single residential areas with similar residential occupation features, known as homogeneous zones. Within chosen zones, homogeneous samples (official census sectors) were selected. The number of housing units per sector was identified in the digital IKONOS 2 images. The population was estimated by multiplying the number of dwellings by the average per household occupancy figures obtained from census tract data. Estimates showed satisfactory results when compared to the census data, presenting a total error of 0,41%, because omission errors were offset by commission errors. Key words: Population estimation; remote sensing; high spatial resolution.Downloads
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