The study has been conducted at Agartala Municipal area (AMA) of Tripura, which exhibits rapid population growth and faster land use land cover changes. The major purpose of the study is to understand the dynamics of land use and Land surface temperature (LST) in the city of Agartala. The study incorporated satellite data such as Landsat TM (Thematic Mapper) and OLI (Operational Land Imager)/TIRS (Thermal Infra-Red Sensors) data along with LandScan datasets of the years from 2008 to 2018. The results revealed a drastic change of land use land cover specifically built up land with net change of 15.63 sq km. While during the same epoch, population portrayed a net growth of 250,017 in the city. The population induced change of land use land cover have accelerated the mean LST of the city from 25.71 ºC to 26.29 ºC in summer and 21.48 ºC to 26.05 ºC in winter season, respectively. The increasing strength of correlation between NDBI (Normalized Difference Built-up Index) &NDVI (Normalized Difference Vegetation Index), NDBI&LST, NDVI&LST and finally Population density and LST with changing ‘r’ value from -0.46 to -0.89, 0.75 to 0.90,-0.76 to -0.81 and 0.34 and 0.67 in summer (2008–2018) whereas -0.34 to -0.83, 0.66 to 0.85, -0.56 to -0.78 and 0.35 to 0.50 in winter, respectively, signify the active role of population growth and built up land development on the intensification of the process of LST in the study area.

该研究是在特里普拉邦的阿加尔塔拉市地区 (AMA) 进行的，该地区人口增长迅速，土地利用土地覆盖变化更快。该研究的主要目的是了解阿加尔塔拉市土地利用和地表温度 (LST) 的动态。该研究结合了 Landsat TM（专题地图绘制器）和 OLI（操作土地成像仪）/TIRS（热红外传感器）等卫星数据以及 2008 年至 2018 年的 LandScan 数据集。结果显示土地发生了剧烈变化使用土地覆盖专门建设用地，净变化15.63平方公里。而在同一时期，该市的人口净增长为 250,017。人口引起的土地利用土地覆盖变化使该市夏季平均 LST 从 25.71 ºC 加速到 26.29 ºC，从 21.48 ºC 加速到 26 ºC。冬季分别为 05 ºC。NDBI (Normalized Difference Built-up Index) & NDVI (Normalized Difference Vegetation Index), NDBI&LST, NDVI&LST 以及最后的 Population density 与 LST 之间的相关性增强，'r' 值从 -0.46 到 -0.89、0.75 到 0.90，-夏季（2008-2018 年）分别为 0.76 至 -0.81 和 0.34 和 0.67，而冬季分别为 -0.34 至 -0.83、0.66 至 0.85、-0.56 至 -0.78 和 0.35 至 0.50，表明人口增长的积极作用增强土地开发对研究区LST过程集约化的影响。