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Abstract

This study aims to determine the urban expansion in a specific area in the north of the city of Riyadh using Remote Sensing techniques and Geographic Information Systems based on visuals and satellite images. The study seeks to determine the size of the increase in housing units in a selected area in the north of Riyadh during the period from 2007 to 2019 by studying the change in the number of residential buildings and comparing the changes that occurred during this period based on data extracted from high-resolution satellite images. Many programs have been used in correcting and balancing satellite images and geographic information systems to find changes in housing units. The study extracted the number of discovered residential buildings by means of the numbering and classification methods and their areas according to each of the neighbourhoods and the percentage of the built-up area out of the total area for the years of study. The results of the comparison of the two methods showed that the classification method gives faster results than the numbering method as it depends on the automated extraction of residential buildings from satellite images, but it is not accurate enough to extract the entire buildings and it can give the decision maker a quick look at the size of the change occurring in the study area.

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