Abstract

This study explores the effect of spatial resolution on outcomes of dasymetric mapping using remotely sensed data, particularly the 30 m multispectral (MS) and 15 m panchromatic (PAN) spatial resolutions of Landsat Enhanced Thematic Mapper (ETM), 15 m of ASTER, and 1 m of airborne color infrared (CIR) imagery for Black Hawk County, Iowa. These images were classified to produce urban land cover maps. Then, dasymetric maps for population density were developed using residential areas derived from remotely sensed data and various GIS layers. The effect of spatial resolution on dasymetric maps was evaluated using traditional choropleth maps and a differentiation matrix. The accuracy of dasymetric maps with different spatial resolutions was assessed using highly detailed population density maps generated from the residential building footprints. The analysis demonstrates that dasymetric maps with higher spatial resolution tend to exhibit higher levels of accuracy. However, with higher spatial resolution data, factors such as spectral resolution and shadow effects should be considered for dasymetric mapping.

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