The unsusual rise in the land surface temperature is playing a vital role toward the rapid and intense changes in global climate. Occurrence of certain land use land cover and alternative changes in them is the prime cause of bringing extreme changes in temperature. In this research, using 30-year long time series (1988–2018) data from Landsat satellites for understanding relation of mean temperature with the two largest and main controlling land use classes (vegetation and built-up) in a rapidly urbanizing district, Lahore. For this purpose, multivariate statistical approaches of scatter plot and correlation coefficient were employed. Temperatures, vegetative and built-up areas were derived using a combination of different spatiotemporal tools in a specifically designed model. Critical analysis suggests breaking up of investigation timeline in two portions based on changing trend. A 23-year period from 1989 to 2011 (Temporal Window-1) and a 6-year period from 2013 to 2018 (Temporal Window-2) were tested separately for the same arguments. Vegetative area showed an increase throughout the temporal window-1 and then a rapid decrease from 2013 to 2018, while built-up area and mean temperature presented an ever-increasing trend during both temporal windows but with much higher rates in second window. Correlation of temperature with the both the investigated thermal controls has found getting strong in Temporal Window-2 showing that relation of these landcover areas with temeperature is not linear and severity is increasing with time. Moreover, temperature is found to be strongly dependent upon changes in built-up areas than that of vegetative areas. So, an increase in built-up area has much more devastating effects over the temperature rather than decrease in vegetative area. It was concluded that Lahore district is contributing in global warming more rapidly than it had ever done before.

地表温度的异常升高对全球气候的迅速和剧烈变化起着至关重要的作用。某些土地利用的土地覆盖和土地替代变化的发生是造成温度极端变化的主要原因。在这项研究中，使用Landsat卫星的30年长期序列（1988-2018年）数据来了解平均温度与快速城市化地区拉合尔的两个最大且主要控制土地使用类别（植被和建筑物）的关系。为此，采用了散点图和相关系数的多元统计方法。在专门设计的模型中，使用不同时空工具的组合得出了温度，植物和建筑面积。批判性分析建议根据变化趋势将调查时间表分为两个部分。对于相同的论点，分别测试了1989年至2011年的23年时间段（Temporal Window-1）和2013年至2013年的6年时间段（Temporal Window-2）。在整个时间窗口1内，植物生长面积均呈增加趋势，然后在2013年至2018年间迅速下降，而在两个时间窗口内，建筑面积和平均温度均呈不断增加的趋势，但第二个窗口的发生率却更高。在时间窗口2中发现温度与两个研究的热控制之间的相关性越来越强，表明这些土地覆盖面积与温度之间的关系不是线性的，严重程度随时间增加。此外，发现温度比植物区强烈依赖于建筑区的变化。因此，建筑面积的增加在温度范围内具有破坏性更大的作用，而不是营养面积的减少。结论是，拉合尔地区对全球变暖的贡献比以往任何时候都快。