Towards LADM Victoria country profile – modelling the spatial information
Mohsen Kalantari (University of Melbourne)
E. Kalogianni (TU Delft - OLD Department of GIS Technology)
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Abstract
Managing properties and people’s interests in complex multi-level developments is rapidly increasing the last decade and as a result, current cadastral information systems are facing a growing demand to capture, register, maintain, visualise and disseminate 3D spatial information. This has led to a continuous research, at the international scenery, for 3D models and standardization initiatives that help communicate the legal and spatial notions of the built environment.
Each of Australia’s states has already established a well-functioning Cadastral Information System, which are progressively moving towards 3D Cadastre. Alongside, the LADM ISO 19152 has gained ground and since its adoption as international standard there have been several attempts by different jurisdictions worldwide to adopt LADM. This however, does not apply for Australia, as only one country profile has been developed – for Queensland – back in 2012.
Considering that the LADM edition I revision has already started and through this process improvement and extensions of the current conceptual model, technical LADM specifications through application schemas and encodings, as well as process models will be discussed and investigated, it was a challenge to investigate the possibilities of adopting LADM in Victoria.
Given this background, at this paper an approach to model the spatial counterpart of a future LADM-based profile for Victoria is presented, in the context of exploring the implementation issues of 3D Cadastre in Victoria, Australia using LADM. The current status of 2D and 3D cadastral developments in Victoria is presented and the direction towards the adoption of LADM in Victoria is introduced.
To be able to develop a LADM Victoria country profile, which will describe the existing situation, but at the same time will be future proof, as first step the mapping between the two existing data models and LADM classes is performed.