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

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  •   Aniekan Effiong Eyoh

  •   Akwaowo Ekpa

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

References

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USGS, Landsat Thematic Mapper Data. (2007). http://edc.usgs.gov/guides/landsat_tm.html

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Zha, Y., Gao J. and Ni S., (2003). Use of Normalized Difference Built-Up Index in Automatically Mapping Urban Areas from TM Imagery. International Journal of Remote Sensing, vol. 24, no. 3, pp. 583-594.

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How to Cite
[1]
Eyoh, A. and Ekpa, A. 2019. Assessment of Change in the Built-Up Index of Uyo Metropolis and Its Environs Using Remote Sensing. European Journal of Engineering and Technology Research. 4, 6 (Jun. 2019), 84-89. DOI:https://doi.org/10.24018/ejers.2019.4.6.1349.