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  • 标题:Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques
  • 本地全文:下载
  • 作者:Rashid Mehmood ; Syed Amer Mehmood ; Muhammad Atif Butt
  • 期刊名称:Journal of Geographic Information System
  • 印刷版ISSN:2151-1950
  • 电子版ISSN:2151-1969
  • 出版年度:2016
  • 卷号:08
  • 期号:02
  • 页码:137-148
  • DOI:10.4236/jgis.2016.82013
  • 语种:English
  • 出版社:Scientific Research Publishing
  • 摘要:This research study predominantly emphases on spatiotemporal extensions of urban area of Peshawar; its adverse impacts and contributions to climate and environment during 1931 to 2011. To probe these interventions, meteorological data, Satellite’s temporal imagery of Landsat ETM+ and TM, anthropogenic and demographic secondary data were congregated. In relation to map out land cover changes, maximum likelihood classification algorithm and followed by change detection techniques were applied to study area. The outcome of this process was further subjected through Geographic Information System (GIS) overlay analysis which suggested a clear straggle in urban area. Auxiliary data (Population growth rate, transportation, electricity connections, etc.) also support the fact of urban area extension. This study proposes that severs contributions of massive heat energy and CO2 have been added to local climate and environment ensuing substantial increment in temperature drawn out from the trends. Consequently, Remote Sensing, GIS and allied data were found to be effective to gauge such variations. To eliminate anomalies in sprawl and environment, few suggestions and recommendation are made in latter part of this study.
  • 关键词:Remote Sensing;Geographic Information System (GIS);Landsat;Anthropogenic Data;Climate;Change Detection Techniques
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