Climate change and human activities have a notable influence on ecosystems. Land use and land cover change (LULC) has a significant influence on ecosystems, and there is an essential need for a free and open-source tool for identifying land cover variations and geographical distribution. This study uses Google Earth Engine (GEE) to investigate LULC pattern, as well as the land surface temperature (LST) in Delhi, India (from 2000 to 2020 at 10-year intervals). The study then used correlation analysis to examine the relationship between LULC, LST, and other vital spectral indices such as NDVI, NDWI, and NDBI for both the summer and winter seasons. The random forest supervised technique was used to classify LULC utilizing various spectral bands (RGB, NIR, SWIR) of Landsat images. The significant LULC conversion methods (transfer to and from) between 2000 and 2020 were clearly identified for the years 2000, 2010, and 2020, as well as a total of five common LULC classes. Overall Accuracy assessment of 92% in 2000, 89% in 2010 and 91% in 2020, with Kappa coefficients ranging from 86% to 90%. Water bodies, agricultural land, and bare land decreased by 6.32%, 50.54%, and 38.09% from 2000 to 2020 respectively, while built-up land and forest land increased by 42.18% and 50.65% of study area, respectively. Maximum LST increases from 34.86°C in 2000 to 51.54°C in 2020 and 23.25°C in 2000 to 25.58 in 2020 during summer and winter seasons respectively and with substantial LST differences seen among different LULC classes.In all selected phases, the built-up region preserves the greatest amount of LST. The study shows that LST with NDVI and NDWI are negative correlation and on the other hand, LST with NDBI are positive correlation. These Findings not only show a change in LULC, but also the benefit of using Google Earth Engine and the open archive database in its platform to monitor and control this change over the years. This study can help urban planners,environmental engineers and agricultural officers establish successful policy efforts to adopt sustainable land-use plans and management in the city.