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A technical solution for 3D crowdsourced cadastral surveys

Author

Listed:
  • Gkeli, Maria
  • Potsiou, Chryssy
  • Ioannidis, Charalabos

Abstract

The development of 3D property registration systems is indispensable for the spatial determination of property Rights, Restrictions and Responsibilities (RRR), the sustainable operation of property markets and the safeguarding of ownership in the highly urbanized world. Several developments in computer graphics, 3D modelling and rendering techniques have attracted the growing global interest in 3D cadastre. Since 2012, the Land Administration Domain Model (LADM ISO 19152) is adopted as the international standard for 2D and 3D cadastral data modelling. Developed legal procedures and prototype systems for 3D property rights registration provide interesting solutions for data acquisition and visualization but such approaches are time and cost demanding. In parallel, 2D cadastral surveying procedures have progressed significantly in reducing required time and cost, utilizing crowdsourcing methodology and mobile services.

Suggested Citation

  • Gkeli, Maria & Potsiou, Chryssy & Ioannidis, Charalabos, 2020. "A technical solution for 3D crowdsourced cadastral surveys," Land Use Policy, Elsevier, vol. 98(C).
    • Handle: RePEc:eee:lauspo:v:98:y:2020:i:c:s0264837719306660
    DOI: 10.1016/j.landusepol.2019.104419
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    References listed on IDEAS

    as
    1. Kitsakis, Dimitrios & Kalantari, Mohsen & Rajabifard, Abbas & Atazadeh, Behnam & Dimopoulou, Efi, 2019. "Exploring the 3rd dimension within public law restrictions: A case study of Victoria, Australia," Land Use Policy, Elsevier, vol. 85(C), pages 195-206.
    2. Maria Gkeli & Chryssy Potsiou & Charalabos Ioannidis, 2019. "Crowdsourced 3D cadastral surveys: looking towards the next 10 years," Journal of Geographical Systems, Springer, vol. 21(1), pages 61-87, March.
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    Citations

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    Cited by:

    1. Chryssy Potsiou & Nikolaos Doulamis & Nikolaos Bakalos & Maria Gkeli & Charalabos Ioannidis & Selena Markouizou, 2022. "A Prototype Machine Learning Tool Aiming to Support 3D Crowdsourced Cadastral Surveying of Self-Made Cities," Land, MDPI, vol. 12(1), pages 1-21, December.
    2. Jarosław Bydłosz & Agnieszka Bieda, 2020. "Developing a UML Model for the 3D Cadastre in Poland," Land, MDPI, vol. 9(11), pages 1-16, November.
    3. Guler, Dogus & Yomralioglu, Tahsin, 2022. "Reviewing the literature on the tripartite cycle containing digital building permit, 3D city modeling, and 3D property ownership," Land Use Policy, Elsevier, vol. 121(C).
    4. Gkeli, Maria & Potsiou, Chryssy, 2023. "3D crowdsourced parametric cadastral mapping: Pathways integrating BIM/IFC, crowdsourced data and LADM," Land Use Policy, Elsevier, vol. 131(C).
    5. Rohan Mark Bennett & Eva-Maria Unger & Christiaan Lemmen & Paula Dijkstra, 2021. "Land Administration Maintenance: A Review of the Persistent Problem and Emerging Fit-for-Purpose Solutions," Land, MDPI, vol. 10(5), pages 1-18, May.

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