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首页> 外文期刊>Journal of Geographic Information System >Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques
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Spatiotemporal Analysis of Urban Sprawl and Its Contributions to Climate and Environment of Peshawar Using Remote Sensing and GIS Techniques

机译:基于遥感和GIS技术的城市扩张及其对白沙瓦气候和环境的贡献的时空分析

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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.
机译:本研究主要着重于白沙瓦市区的时空扩展。它对1931年至2011年期间的不利影响以及对气候和环境的贡献。为探究这些干预措施,气象数据,Landsat ETM +和TM的卫星时间图像,人为和人口二级数据被汇总。为了绘制出土地覆盖变化,将最大似然分类算法和随后的变化检测技术应用于研究区域。该过程的结果还通过地理信息系统(GIS)覆盖分析进行了分析,这表明在城市地区存在明显的混乱。辅助数据(人口增长率,交通,电力连接等)也支持市区扩展这一事实。这项研究表明,大量的热能和二氧化碳的贡献已经添加到当地的气候和环境中,从而从趋势中得出了温度的大幅上升。因此,发现遥感,GIS和相关数据可以有效地评估此类变化。为了消除蔓延和环境异常,本研究的后期很少提出任何建议。

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