M. Isma'il

Comparative Assessment of Machine Learning Classifiers for Land Use/Land Cover Mapping in a Tropical Savanna Landscape

Accurate land use/land cover (LULC) information is essential for environmental monitoring, agricultural planning, and sustainable land management, particularly in rapidly changing tropical savanna landscapes. This study comparatively assessed the performance of Random Forest (RF), Support Vector Machine (SVM), and Clas...