Mapping Urban Sprawl using GIS, Remote Sensing and Spatial Metrics: A comparative study of two European cities over time from Landsat 5 Thematic Mapper imagery - Couverture souple

McCready, Matthew

 
9783659943089: Mapping Urban Sprawl using GIS, Remote Sensing and Spatial Metrics: A comparative study of two European cities over time from Landsat 5 Thematic Mapper imagery
Couverture souple
ISBN 10 : 3659943088 ISBN 13 : 9783659943089
Editeur : LAP LAMBERT Academic Publishing, 2016

Synopsis

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.

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Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2016
Langue
anglais
ISBN 10 
3659943088
ISBN 13 
9783659943089
Reliure
Broché
Nombre de pages
76
Coordonnées du fabricant
non disponible
Personne responsable
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