Abstract

The research was aim at assessing the change in the Built-up Index of Uyo metropolis and its environs from 1986 to 2018, using remote sensing data. To achieve this, a quantitative analysis of changes in land use/land cover within the study area was undertaken using remote sensing dataset of Landsat TM, ETM+ and OLI sensor images of 1986, 2000 and 2018 respectively. Supervised classification, using the maximum likelihood algorithm, was used to classify the study area into four major land use/land cover types; built-up land, bare land/agricultural land, primary swamp vegetation and secondary vegetation. Image processing was carried out using ERDAS IMAGINE and ArcGIS software. The Normalised Difference Built-up Index (NDBI) was calculated to obtain the built-up index for the study area in 1986, 2000 and 2018 as -0.20 to +0.45, -0.13 to +0.55 and -0.19 to +0.63 respectively. The result of the quantitative analysis of changes in land use/land cover indicated that Built-up Land had been on a constant and steady positive growth from 6.76% in 1986 to 11.29% in 2000 and 44.04% in 2018.

Highlights

  • In recent times, urban areas within Uyo metropolis have expanded in an exponential proportion and the rates of urban population growth are higher within the city as a locus of economic activities

  • This research seeks to assess the rate of urban growth of Uyo metropolis using Landsat archived data of 1986, 2000 and 2018 for both Image Classification and the Normalized Difference Built up Index (NDBI)

  • Accuracy assessment of the image classification was assessed in terms of User’s accuracy, producer’s accuracy and overall accuracy, results of the image differencing were interpreted and the percentage change, trend, and rate of change in land use/land cover types with more attention to built-up land were analyzed by comparison of the land use/land cover statistics

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Summary

INTRODUCTION

Urban areas within Uyo metropolis have expanded in an exponential proportion and the rates of urban population growth are higher within the city as a locus of economic activities The extent of this urbanization or its growth drives the changes in land use/land cover pattern within the city. Just like many other State Capitals in Nigeria, urban growth has extended beyond the geographical boundaries of Uyo Capital City/Metropolis to adjoining environs like parts of Itu, Ibiono Ibom, Ibesikpo Asutan, Nsit Ibom and Uruan Local Government Areas. This has resulted in increased land consumption and a modification and alterations in the status of her land use/land cover over time. This research seeks to assess the rate of urban growth of Uyo metropolis using Landsat archived data of 1986, 2000 and 2018 for both Image Classification and the Normalized Difference Built up Index (NDBI)

Study Area
Image Classification
Agricultural
Software Used
RESULTS AND DISCUSSIONS
Analysis of Change Trend and Discussions
Discussions
CONCLUSION
Full Text
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