IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v98y2020ics0264837719306660.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837719306660
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.landusepol.2019.104419?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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).
    2. Zhi Zhang & Jenny Paulsson & Jian Gong & Ji’e Huan, 2020. "Legal Framework of Urban Underground Space in China," Sustainability, MDPI, vol. 12(20), pages 1-17, October.
    3. Vladimír Raškovič & Zlatica Muchová & František Petrovič, 2019. "A New Approach to the Registration of Buildings towards 3D Land and Property Management in Slovakia," Sustainability, MDPI, vol. 11(17), pages 1-12, August.
    4. Kitsakis, Dimitrios & Dimopoulou, Efi, 2020. "Assessing the environmental impact of 3D public law restrictions," Land Use Policy, Elsevier, vol. 98(C).
    5. Siham El Yamani & Rafika Hajji & Gilles-Antoine Nys & Mohamed Ettarid & Roland Billen, 2021. "3D Variables Requirements for Property Valuation Modeling Based on the Integration of BIM and CIM," Sustainability, MDPI, vol. 13(5), pages 1-22, March.
    6. Grgo Dželalija & Miodrag Roić, 2023. "Bibliometrics on Public Utilities Registration Research," Land, MDPI, vol. 12(5), pages 1-20, May.
    7. Diana Bobikova & Zofia Kuzevicova & Stefan Kuzevic & Ibrahim Alkhalaf, 2022. "Proposal of a New Approach for Protected Deposit Area Registration in Public Administration Information Systems—A Case Study from Slovakia," Land, MDPI, vol. 11(11), pages 1-22, November.
    8. Emamgholian, Saeid & Pouliot, Jacynthe & Shojaei, Davood, 2024. "A conceptual framework for automatic modelling and conflict detection of 3D land-use regulation restrictions to support issuing planning permits," Land Use Policy, Elsevier, vol. 137(C).
    9. 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.
    10. Guler, Dogus & Yomralioglu, Tahsin, 2021. "A reformative framework for processes from building permit issuing to property ownership in Turkey," Land Use Policy, Elsevier, vol. 101(C).
    11. 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).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:lauspo:v:98:y:2020:i:c:s0264837719306660. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.