Abstract

Urban expansion along with other changes in land use and land cover is a global phenomenon and most parts of Western Nigeria have experienced tremendous changes in recent past. Osun state, located in Western Nigeria, was originally made up of mostly traditional farming communities. These communities have witnessed rapid urbanisation in the last few decades and most of the communities previously known to be farming communities have transformed to modern well-known cities. This project examines the use of Remote Sensing in mapping of Land Use Land Cover in Osun state over a period of 30 years (1986 to 2016) using Landsat (MSS, TM, and ETM+) images. The aim of this study is to produce a land use/land cover map of Osun state at three epochs in order to detect the changes that have taken place particularly in the built up and Vegetation areas. Landsat Images of Osun state in 1986, 2006 and 2016 were processed into five land use classes namely: Water body, Vegetation, Wetland, Built-up and Bare land. Total area of land use in each class were determined along with percentage change area, Land Consumption Rate and Land Absorption Coefficients. The result of the work shows that built-up area changed from 20.52% in 1986 to 30.71% in 2006 and then 34.45% in 2016. Land Consumption rate was 0.068 in 2016 which is indication of highly compacted living environment. The minimum Land Absorption Coefficient observed was 0.027 in between 2006 and 2016, which indicates that land is acquired for built-up development at very high rate. The resultant effect of these observed changes was a reduction of the vegetation class from 35.82% in 1986 to 31.14% in 2006 and then 23.83% in 2016. The results in this study may influence new land policy that will enhance sustainable use of land in Osun state.

Highlights

  • In change detection analysis, it is required to identify differences in the state of an object or phenomenon by observing it at different times (Singh, 1989)

  • The methods of data analysis adopted include: (a) Total land use area, (b) Percentage land use area (c) Land use dynamics degree determined by percentage change, Land Consumption rate (LCR) and Land Absorption Coefficient (LAC)

  • With moderate agreement, 2006 results are still suitable for analysis of land use changes, results of 1986 and 2006 would be more reliable

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Summary

Introduction

It is required to identify differences in the state of an object or phenomenon by observing it at different times (Singh, 1989) This provides the foundation for a better understanding of the development an interaction between human and natural phenomena for a better utilisation of resources. GIS tools and applications has made it possible to manipulate and analyse multiple land use information simultaneously. Information such as the trend, rate, nature, location and magnitude and sometimes direction of these changes are possible (Adeniyi et al, 1999).

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