Estimation of the Spatial Distribution of Urban Population using Remotely Sensed Satellite Data in Riyadh, Saudi Arabia
نویسندگان
چکیده
This paper investigates the potential use of Landsat ETM+, remotely sensed height data (RSHD), ward-level population and dwelling units to provide population estimates at parcel-level. The paper applies a conventional method of population estimation and then refines this using the RSHD. Further refinements are applied using an advanced image classification algorithm. The model is calibrated at the block-level to downscale population to the parcel-level. The results indicate that the RSHD and the advanced image classification algorithm do improve the accuracies. However, low and high density areas are still difficult to predict accurately.
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