Analysis of the Impact of Land Use and Land Cover Types on Land Surface Temperature of Imo State, Nigeria
Keywords:
Land Use/Land Cover (LULC) classification, LST, SCA and SCAAbstract
The uncontrolled rapid urban expansion and landuse/landcover transformations alters the hydrological, thermodynamic, and radioactive activities of the earth surface, and this amplifies the effects of climate change and heat waves. This study was aimed at performing a spatiotemporal analysis of land surface temperature and its impact on land use/land cover types in Imo State of Nigeria. Lansat 8 OLI imageries of 2013, 2018 and 2023 were used for data analysis to retrieve the land surface temperature (LST) and the land use/ land cover (LULC) types. The methodology adopted by study for LST retrieval was the Single Channel Algorithm (SCA) and for classifying the LULC, the Supervised Classification using Maximum Likelihood Classifier (MLC) algorithm was used. The ArcGIS 10.8 was used to classify LULC types and estimate the LST. The findings suggest that because of the biophysical properties of the land surfaces, LULC has a considerable impact on LST values.. The greatest LST variations were found between water bodies and vegetation, but moderate LST differences were found between bare lands and vegetation as well as between barren land and built-up regions. The study also revealed that the highest LSTs occur in the state’s capital Owerri and also Mgbidi Town. The study will have a positive health impact in the study area and help policies makers and relevant agencies in making an information decision and policies based on the findings from the study.
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