Assessment of Change in the Built-Up Index of Uyo Metropolis and Its Environs Using Remote Sensing

Aniekan Effiong Eyoh and Akwaowo Ekpa
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Aniekan Effiong Eyoh: Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria
Akwaowo Ekpa: Department of Geoinformatics & Surveying, Faculty of Environmental Studies, University of Uyo, Nigeria

European Journal of Engineering and Technology Research, 2019, vol. 4, issue 6, 84-89

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.

Keywords: ETM; Land Use/Land Cover; Normalized Difference Built-up Index (NDBI); OLI and TM sensor (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:epw:ejeng0:v:4:y:2019:i:6:id:61349

DOI: 10.24018/ejeng.2019.4.6.1349

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