Modelling the relationship between climatic variables and land use/land cover classes in Yewa South Local Government Area of Ogun State, Nigeria

Abstract

Climate change and land use/land cover (LULC) change are among the global environmental issues that have recently dominated international debates in order to monitor earth resources. The burning of fossils fuels, clearing of land and burning of bush has given rise to the highest levels of greenhouse pollution in the atmosphere. It is on this note that this study was carried out to determine the effect of climate change on land use/land cover change of Yewa South Local Government Area of Ogun State in Nigeria. The supervised parallelepiped classification scheme was used to classify land use land cover into five classes namely agriculture land, built-up, vegetation, wetland and water body. A multivariate linear regression model was developed and program in MATLAB to model the relationship between climatic variables namely, rainfall (mm), average temperature (°C), evaporation (mm), relative humidity (%), average soil temperature (°C) and some particular land use/land cover variables. After statistical analysis between climatic variables and land use/land cover classification, results indicated a significant relationship between climatic variables and land use/land cover change. The statistical analysis between the variables shows that the climatic parameters has an accuracy of 84.12% prediction model for land use/land cover classification.