Mapping Urban Sprawl using GIS, Remote Sensing and Spatial Metrics

Language: English

Published by LAP LAMBERT Academic Publishing Okt 2016, 2016

3659943088 / 9783659943089

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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 76 pp. Englisch.

Seller Inventory # 9783659943089

Title
Mapping Urban Sprawl using GIS, Remote Sensing and Spatial Metrics
Author
Matthew McCready
Publisher
LAP LAMBERT Academic Publishing Okt 2016
Publication year
2016
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3659943088
ISBN 13
9783659943089
Item weight
131 grams
Dimensions
220x150x5 mm

BuchWeltWeit Ludwig Meier e.K.

Bergisch Gladbach, Germany

5-star seller

AbeBooks seller since January 11, 2012

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BuchWeltWeit Ludwig Meier e.K.

Germany