crossrefLand2026-07-07
A Comparative Assessment of Machine and Deep Learning Approaches for Grassland Mapping with Sentinel-1, Sentinel-2 and Ancillary Data
Princess Khoza, Zinhle Mashaba-Munghemezulu, Elias Mabetoa, Sipho Sibanda, George Johannes Chirima
Grasslands represent one of the most extensive terrestrial biomes globally, covering approximately one-third of the Earth’s land surface, yet they are increasingly threatened by land-use change and overgrazing, underscoring the need for reliable monitoring approaches. This study…