Multitemporal land cover classification over urban areas is challenging. especially when using heterogeneous data sources with variable quality attributes. A prominent challenge is that classes with similar spectral signatures (such as trees and grass) tend to be confused with one another. In this paper. https://macorners.shop/product-category/engraved-wooden-tea/