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首页> 外文期刊>Journal of Geographic Information System >A Remote Sensing Analysis of the Temporal and Spatial Changes of Land Surface Temperature in Calabar Metropolis, Nigeria
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A Remote Sensing Analysis of the Temporal and Spatial Changes of Land Surface Temperature in Calabar Metropolis, Nigeria

机译:尼日利亚卡拉巴尔都会地表温度时空变化的遥感分析

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This study investigated the temporal and spatial changes of land surface temperature (LST) over Calabar Metropolis, Nigeria (2002 to 2016). The LST over Calabar metropolis was studied from the analysis of Landsat imageries of the investigated years (2002, 2006, 2008, 2010, 2012, 2014 and 2016). The results of the LST imagery were classified using standard deviation. GIS was further applied to extract the coverage ratio of each land use in the context of Land surface temperature (LST) pixels and results were presented in degree Celsius. The result of this study revealed a great variation in the mean LST for the selected period. The highest mean LST of 25.38 ° C was observed in 2016, followed by 2002 with mean LST of 25.32 ° C whereas, the least LST was observed in 2010. This study has shown that, the changing land use pattern of the area is capable of affecting certain characteristics of the environment such as surface temperature. The study recommends that effort should be made by the government to increase urban vegetation in order to reduce potential future increased in LST.
机译:这项研究调查了尼日利亚卡拉巴尔都会(2002年至2016年)地表温度(LST)的时空变化。通过对调查年份(2002年,2006年,2008年,2010年,2012年,2014年和2016年)的Landsat影像进行分析,研究了Calabar大都市的LST。 LST影像的结果使用标准差进行分类。进一步将GIS应用到土地表面温度(LST)像素的背景下提取每种土地利用的覆盖率,结果以摄氏度表示。这项研究的结果表明,在选定的期间内,平均LST有很大的差异。 2016年的平均LST最高,为25.38°C,其次是2002年的平均LST为25.32°C,而2010年的LST最小。该研究表明,该地区土地利用方式的变化能够影响环境的某些特征,例如表面温度。研究建议政府应努力增加城市植被,以减少未来潜在的LST增加。

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