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The influence of land-use/land-cover changes on land surface temperature: a case study of Kuala Lumpur metropolitan city

机译:土地使用/陆地覆盖变化对陆地温度的影响 - 以吉隆坡大都市城市为例

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This paper evaluates the impact of land-use and land-cover (LULC) changes on land surface temperature (LST) in the Kuala Lumpur metropolitan city using multi-spectral and multi-temporal satellite data. The spectral radiance model was used to extract the LST from Landsat 8 OLI and Landsat 5 TM. The analysis on LULC changes revealed a phenomenal increase in the urban (high built-up area) areas and a decrease in the forest land area. The distribution of average changes in LST shows that urban (high built-up area) areas recorded the highest increase in temperature followed by urban (low built-up area) areas, grass land area, forest land area and waterbodies. The LST and normalised difference vegetation index (NDVI) were computed based on changes in LULC which indicates that a strong correlation value was observed between LST and NDVI for urban (high and low built-up areas) areas, grass land area and forest land area. This study demonstrated that an increase in non-evaporating surfaces and a decrease in the vegetation area have increased the surface temperature and modified the temperature of the study area. Remote-sensing techniques were found to be efficient, especially in reducing the time for analysis of urban expansion, and are useful tools to evaluate the impact of urbanisation on LST.
机译:本文使用多频谱和多时间卫星数据评估了吉隆坡大都市城市地表温度(LULC)对土地利用和陆地覆盖(LULC)变化的影响。光谱辐射模型用于从Landsat 8 Oli和Landsat 5 TM中提取LST。 LULC变化分析揭示了城市(高建筑面积)地区的惊人增加和林地地区的减少。 LST平均变化的分布表明,城市(高建筑面积)区域记录了温度最高,其次是城市(低建筑面积)地区,草地面积,林地区和水平台。基于LULC的变化计算LST和归一化差异植被指数(NDVI),这表明LST和NDVI之间观察到城市(高低和低层区域)区域,草地面积和林地地区之间观察到强烈的相关价值。本研究表明,非蒸发表面的增加和植被面积的减少增加了表面温度并改变了研究区域的温度。发现遥感技术有效,特别是在减少城市扩张分析时间时,是评估城市化对LST的影响的有用工具。

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