Change detection analysis in Yenagoa due to urbanization using remote sensing and geographic information systems

Oki Austin Oyinkuro * and Jonathan Lisa Erebi

Department of Geology, Niger Delta University, Wilberforce Island, Bayelsa State, Nigeria.
 
Research Article
World Journal of Advanced Research and Reviews, 2022, 15(01), 439–446
Article DOI: 10.30574/wjarr.2022.15.1.0679
 
Publication history: 
Received on 02 June 2022; revised on 20 July 2022; accepted on 22 July 2022
 
Abstract: 
The change detection analysis has been investigated between 1990, 2015 and 2020 using Remote Sensing and Geographical Information Systems in Yenagoa, Bayelsa State of Nigeria. With the aid of ArcGIS and Erdas Imagine software to classify the environment, using the supervise classification method in categories of water bodies, built-up areas, bare land, and vegetation, it was revealed that the area covered by water bodies was 11% of the total area in 1990, decreased to 9% in 2015, and further reduced to 4% in 2020. The built-up area was 4 % of the total area of Yenagoa in 1990. It increased to 17% in 2015 and further increased to 23 % in 2020. Bare land covered 20% of Yenagoa in 1990. This area increased to 27 % in 2015 and further increased to 35 % in 2020. Yenagoa vegetation covered about 65 percent of the area in 1990. This was reduced to 47% in 2015 and was further reduced to 35% in 2020. Yenagoa water bodies and vegetation are being depleted in an unsustainable manner that will lead to environmental challenges in the near future if proper planning mechanisms are not put in place.
 
Keywords: 
GIS; Remote Sensing; Landuse; Landcover; Change Detection
 
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