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Urban sprawl is a global phenomenon and has been associated with significant alterations to surface runoff, damaging effects to the environment through suburban development as well as human health problems, particularly in larger urban centres as a result of the heat island effect. Advances in Geographical Information Systems (GIS) and digital image processing software packages in recent years have facilitated the manipulation of larger datasets, whilst providing an intuitive framework in which to conduct critical analyses to aid our understanding of such phenomena. With the increasing availability of open source multi-spectral, multi-temporal data at moderate resolutions, e.g. remotely sensed satellite imagery, urban sprawl can be mapped effectively and efficiently over vast areas with high accuracy. This research utilised Landsat 5 Thematic Mapper data with a 30 metre pixel resolution to detect, map and monitor urban sprawl in two similar sized European cities over time, Ballymena in Northern Ireland and Gießen in Germany. While some technical issues were noted, this method was found to offer a cost-effective solution in carrying out analyses within this field of research.
About the author
Matthew graduated from the University of Ulster in 2012 with a BSc (Hons) degree in Geography with German. He spent a year abroad in Gießen, Germany through the ERASMUS scheme in 2010/11. In 2016 he attained a MSc in Geographical Information Systems at the University of Portsmouth. Matthew now works as a GIS Analyst near Bournemouth, Dorset.
