Land use land cover classification for the iron ore mining site of Kishushe, Kenya: A feasibility study of traditional and machine learning algorithms

The research applied GIS and Remote Sensing techniques to evaluate the most effective classification methods for characterising land use and land cover changes in an active mining region in Kenya. The specific site was a large-scale mining site for iron ore in Taita Taveta County. Machine learning algorithms were found to be the most effective.