View article

In this study, we assessed the impact of Land-Use/ Land-Cover (LULC) changes on Land Surface Temperature (LST) in Chattogram Metropolitan Area (CMA) of southeastern Bangladesh. Landsat-5 TM and Landsat-8 OLI images were used to extract six dominant LULC categories and LST over a 28-years period. The Random Forest classifier was applied to derive LULC categories, whereas the Single-Channel and the Split-Window algorithms were applied to extract LST for the respective years. Three bio-physical parameters such as Normalized Difference Vegetation Index (NDVI), Modified Normalized Difference Water Index (MNDWI) and Normalized Difference Built-up Index (NDBI) representing three dominant LULC categories were extracted from the images to assess their interaction with the LST. Further, the Urban Heat Island (UHI) effect was calculated to assess the impact of LULC changes on the UHI …