Generating temporal cadastral parcels with artificial intelligence algorithms within the scope of cadastre 2034

Abstract

Since real estates are a reliable investment tool, many changes occur in ownership and parcel geometry. Therefore, temporal cadastral data have a great importance in terms of sustainable development policies because cadastre can provide the main data of smart cities. The Cadastre 2034 Vision started by the International Federation of Surveyors (FIG) proposes to record the temporal dimension of the cadastral data. The temporal dimension of cadastral parcels are stored in the documents named as “fenni evraklar” (technical papers) in Turkey. The study aims to develop a new model in which the temporal dimension of cadastral parcels will be automatically digitized in accordance with the four-dimensional cadastral approach targeted in the Vision of Cadastre 2034. Therefore, an interface using artificial intelligence algorithms was created in the Python programming language and changes in cadastral parcels can be monitored at the beginning from the first facility cadastre on any cadastral parcel.