A structured framework for 3D cadastral data validation − a case study for Victoria, Australia

Ali Asghari, Mohsen Kalantari and Abbas Rajabifard

Land Use Policy, 2020, vol. 98, issue C

Abstract: There are a wide variety of cadastral objects, ranging from simple 2D entities such as a land parcel, to complex 3D objects such as multistory/multi-owned buildings. The complex infrastructures development happening above and below the ground complicates the processes required for defining rights, restrictions and responsibilities in 3D (3D RRRs). Even in the current, predominantly, 3D analogue cadastral system which relies on 2D drawings and representations, defining 3D RRRs is still a complicated task. With the widespread use of 3D geospatial information technologies, it is increasingly becoming easy to realise and interpret a 3D digital cadastre system. As part of the process of transition from the 2D representation of cadastre towards a 3D digital cadastre, not only will 2D representations be replaced with 3D models, but the examination workflow and its principles also need to be able to manage 3D models. Developing principles and validation rules is a critical requirement to guarantee that the diverse cadastral data is trustable and contains enough detail to define the spatial and legal extents of ownership. This paper proposes a structured framework to define validation rules for 3D cadastral models. The paper’s methodology utilises a case study approach where a plan examination process in Victoria, Australia has been analysed to investigate the principles of examining cadastral plans, and further expanded on for validating 3D digital plans. The paper concludes with a discussion on the implications of the proposed 3D validation rules and proposes future research within the topic of 3D cadastral data validation.

Keywords: Land management; 3D digital cadastre; Cadastral data; ePlan; Validation; Victoria (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:lauspo:v:98:y:2020:i:c:s0264837719306301

DOI: 10.1016/j.landusepol.2019.104359

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