Land cover represents the physical features of the Earth's surface. Land cover maps are essential for urban planning, resource management, agriculture, change detection, and various other applications that require detailed surface information. Traditional methods of land cover classification are often time-consuming and challenging. In contrast, deep learning models can effectively capture complex patterns and semantics, offering significantly improved accuracy and efficiency.