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ABSTRACT
Land Surface Temperature changes are applied climate studies and Urban development. Utilizing remote sensing techniques, this study assesses the Land Surface Temperature of Bodo, Gokana Local Government Area, Rivers State. The USGS provided Landsat 8 Operational Land Imager and Thermal Infrared Sensors (OLI/TIRS) images for study area during the dry season of 2014, 2016, 2018, 2019, 2020, 2021, 2022 and 2023. Using the ArcGIS raster calculator, the thermal bands digital number (Band 10) is converted into spectral radiance. Using Plank’s inverse equation, the brightness temperature is calculated from the spectral radiance. The final LST is obtained using the land surface emissivity computed from NDVI. From the heat map generated to estimate the LST of eight years, 2023 had the highest mean value of 63.66˚C for dry season and 2014 had the least mean value of 52.18˚C. the result revealed that the Land Surface Temperature increased by 3.2% during the dry season. The heat map revealed that places with oil spills and extensive human activities had higher intensity than those with vegetation and water bodies.
