This study compares four machine-learning algorithms comprising of Classification And Regression Trees (CART). Random Forest (RF). Gradient Tree Boosting (GTB) and Support Vector Machine (SVM) for the classification of urban land-use and land-cover (LULC) features. Using multitemporal and multisensor Landsat data from 1984-2020 at 5-year intervals for the Greater Gaborone Planning Are... https://foldlyers.shop/product-category/science-projects/