A geometric and semantic evaluation of 3D data sourcing methods for land and property information

Urbanisation, the development of high-rise apartments and the advent of complex building structures creates unique challenges that cannot be met by 2D land and property information. These include inter-related titles and complex plans relating to (i) the land parcel and (ii) the building, both internal (indoor plans) and external attributes (roof and façade). Incorporating the third dimension into the land development cycle can potentially address such challenges by providing data that describes both the land parcel and building in 3D. This move towards 3D data administration requires the development of new 3D data processes, including 3D data sourcing, which forms the focus of this research. Following an examination of current 2D methods in land and property information registration, a framework of the requirements for sourcing 3D land and property information is suggested and potential methods are discussed. Focussing on the geometric and semantic components an evaluation of the methods is developed and applied. The results highlight methods based on photogrammetry, laser scanning, mobile mapping, Unmanned Aerial Systems (UAS) and Building Information Modelling (BIM) to source integrated 3D information for both the internal and external attributes of a building and corresponding land parcel.