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This study employs Landsat ETM+ satellite imagery to access the inter-seasonal variations of Surface Temperature and Vegetation cover in\udOndo State in 2013. Also, air temperature data for year 2013 acquired from 3 synoptic meteorological stations across the state were\udanalyzed. The Single-channel Algorithm was used to extract the surface temperature maps from the digital number embedded within the\udindividual pixel. To understand the spatio-temporal distribution of LST and vegetation across the various landuse types, 200 sample points\udwere randomly chosen, so that each land-use covers 40 points. Imagery for the raining season where unavailable because of the intense\udcloud cover. Result showed that the lowest air temperature of 20.9°C was in January, while the highest air temperature of 34°C occurred in\udJanuary and March. There was a significant shift in the vegetation greenness over Ondo State, as average NDVI tend to increase from a\udweak positive value (0.189) to a moderate value (0.419). The LULC map revealed that vegetation cover occupied the largest area (65%)\udfollowed by Built-up (26%), Swampy land (4%), Rock outcrop (3%) and water bodies (2%). The surface temperature maps revealed that\udJanuary has the lowest temperature of 10°C experienced in the coastal riverine areas of Ilaje and Igbokoda, while the highest temperature\udof 39°C observed in September is experienced on the rocky grounds. The study also showed the existence of pockets of Urban Heat Islands\ud(UHI) that are well scattered all over the state. This finding proves the capability and reliability of Satellite remote sensing for\udenvironmental studies

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

INTER-SEASONAL DYNAMICS OF VEGETATION COVER AND SURFACE TEMPERATURE DISTRIBUTION: A CASE STUDY OF ONDO STATE, NIGERIA