The semantic labelling products result from methods that assign labels to objects or locations in a field. The labels correspond to the categories of a classification or, in case of masks and detected features, to a single target class. Such labels may also identify classes of change or change evolution.
Static EO derived thematic classification products and masks (e.g. land use land cover classifications). Additionally, static EO detected features (planes on apron of airports, dwellings) that consist of a set of point locations (or polygons) and do not end up in a comprehensive classification of all pixels of an image. Static EO derived thematic classification products and masks (e.g. land use land cover classifications). Additionally, static EO detected features (planes on apron of airports, dwellings) that consist of a set of point locations (or polygons) and do not end up in a comprehensive classification of all pixels of an image. Thematic classifications and feature detection identify a surface by a class label that represents a more or less persistent state. A good example product is the Copernicus Urban Atlas. The most recent available version is assumed to represent the "current" state (Certainly, an update cycle is necessary for providing a product that remains up-to-date).