GENERATION OF HEAT MAP FOR LAND SURFACE TEMPERATURE EVALUATION USING REMOTELY SENSED ELECTROMAGNETIC RADIATION DATA IN OVIA NORTH EAST LOCAL GOVERNMENT AREA, EDO STATE NIGERIA

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ABSTRACT                                                     Land Surface Temperature changes are applied in climate studies and urban development.  Utilizing remote sensing techniques, this study assesses the land surface temperature of the Ovia North East Local Government Area, Edo state, Nigeria. The USGS provided Landsat 8 Operational Land Imager & Thermal Infrared Sensors (OLI/TIRS) images for the study area during the wet and dry seasons of 2017, 2018, 2019, 2020, and 2021. Using the ArcGIS raster calculator, the thermal band's 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 the NDVI.

           From the heat map generated to estimate the LST of 5 years, 2020 had the highest mean of 28.16°C during dry season while 2019 had the highest mean of 22.52°C for rainy season. The result revealed that the surface temperature increased by 0.098% during dry season and by 0.15% during rainy season from 2017 to 2021.

           The heat maps revealed that places with extensive human activities had a higher intensity than those with vegetation and water bodies. The research concluded that the land surface temperature is directly proportional to urbanization.

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