The Trend of Peri-Urban Land Use Change in Small and Medium Sized Urban Areas. A Case of Kimilili Town, Bungoma County, Kenya




GIS, Kimilili Town, Land Use Change, Peri-Urban, Remote Sensing


The purpose of this study was to determine patterns in land use change in Kimilili peri-urban areas between 1990 and 2020. We got Landsat data for the years 1990, 2000, 2010, and 2020 from the USGS website. Arc GIS version 10 and ERDAS Imagine version 2018 were used for digital image processing and GIS analysis. Imageries for the following land use groups were obtained using supervised classification using the Maximum Likelihood classification algorithm: built-up area, agricultural land, dense vegetation, and bare terrain. Ground truthing was done in order to get the required reference information. An accuracy assessment was conducted using Google maps at various periods of the year for the LULC maps from 1990, 2000, 2010, and 2020. Change detection analysis was used to carry out land use conversions between the research intervals. The land use types were categorized based on their respective areas, measured in hectares. Over a 30-year period, a notable 16.6% growth in built-up area was seen overall. Additional findings revealed a 16.7% decrease in agricultural land. According to the study, there were notable changes in land usage between 1990 and 2020. Enforcing management standards is necessary in order to maintain control over urban expansion.


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How to Cite

Kimtai, J. K., Mabonga, J. W., & Wasike, N. (2023). The Trend of Peri-Urban Land Use Change in Small and Medium Sized Urban Areas. A Case of Kimilili Town, Bungoma County, Kenya. African Journal of Empirical Research, 4(2), 1338–1344.