Geospatial Analysis of Surface Urban Heat Island Intensity Using Google Earth Engine
摘要
Urban Heat Islands (UHI) are a threat due to India’s rapidly urbanizing cities. The present study uses Google Earth Engine-processed Landsat-9 OLI/TIRS data to evaluate UHI patterns in Warangal, Telangana, for May 2025. While the Normalized Difference Vegetation Index (NDVI) and Normalized Difference Built-up Index (NDBI) were generated to investigate correlations between land cover and thermal behaviour, the Land Surface Temperature (LST) was obtained using a single-channel technique with emissivity correction. Strong spatial disparities were evident in the data, with vegetated and water-covered zones recording the lowest LST values (~29 ℃) and densely populated and industrial areas recording the highest LST (~45 ℃). The study shows that there is significant heat stress in the city centre, and almost 40% of the city falls under the high or extreme UHI category. The correlation analysis revealed a positive relationship between LST and NDBI and a negative relationship between LST and NDVI. The findings from the current study highlight the need for climate-sensitive development and green infrastructure to minimize urban heat hazards in Warangal.