The present study monitors the interrelationship of land surface temperature (LST) with normalized difference vegetation index (NDVI) in Raipur City of India using premonsoon Landsat satellite sensor for the season of 2002, 2006, 2010, 2014, and 2018. The results describe that the mean LST of Raipur City is gradually increased with time. The value of mean NDVI is higher in the area below mean LST compared to the area above mean LST. The value of mean NDVI is also higher in Landsat 8 data than Landsat 5 and Landsat 7 data. A strong negative LST-NDVI correlation is observed throughout the period. The correlation coefficient is higher in the area above mean LST and lower in the area below mean LST. The value of the correlation coefficient is decreased with time. The mixed urban landscape of the city is closely related to the changes of LST-NDVI relationship. These results provide systematic planning of the urban environment.

中文翻译：

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使用Presoonsoon Landsat数据集监视LST-NDVI关系

本研究使用2002年，2006年，2010年，2014年和2018年季前季风Landsat卫星传感器监测印度赖布尔市地表温度（LST）与归一化植被指数（NDVI）的相互关系。结果描述：赖布尔市的平均LST随时间逐渐增加。与低于平均LST的区域相比，平均LDVI的区域中的平均NDVI值更高。Landsat 8数据中的平均NDVI值也高于Landsat 5和Landsat 7数据。在整个期间内，观察到强烈的LST-NDVI负相关。相关系数在平均LST上方的区域较高，而在平均LST下方的区域较低。相关系数的值随时间减小。城市的混合城市景观与LST-NDVI关系的变化密切相关。这些结果提供了城市环境的系统规划。