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Land
Special Issues
Smart Land Administration and Modern Cadastre: New Frontiers
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Smart Land Administration and Modern Cadastre: New Frontiers

A special issue of Land (ISSN 2073-445X).

Deadline for manuscript submissions: closed (24 August 2022) | Viewed by 9044

Special Issue Editors

Dr. Hamed Olfat

E-Mail Website
Guest Editor
ePlan Team Lead, Centre for SDIs and Land Administration, The University of Melbourne, Parkville, VIC 3010, Australia
Interests: smart land administration; modern cadaster; SDI
Prof. Dr. Abbas Rajabifard

E-Mail Website
Guest Editor
Centre for Spatial Data Infrastructures and Land Administration, Melbourne School of Engineering, University of Melbourne, Parkville, VIC 3010, Australia
Interests: digital twin; land administration; cadastre; spatial data infrastructure
Special Issues, Collections and Topics in MDPI journals
Dr. Behnam Atazadeh

E-Mail Website
Guest Editor
Centre for SDIs and Land Administration, University of Melbourne, Parkville, VIC 3010, Australia
Interests: BIM; modern land administration; 3D digital cadastre
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue contributes to the new frontiers of smart land administration and modern cadastre, based on technological innovations to meet the rapidly changing requirements of the societies. The current land administration and cadastral systems are not smart enough to satisfy the stakeholders’ expectations and maximize the property industry’s economic return. The examples include a lack of support for utilizing 3D digital data (particularly in building information modelling—BIM format), accessing a fully digital end-to-end land development workflow, removing delays and inefficiencies in the current planning and building approval processes, and handling real-time and big data. On the other hand, there are emerging boundaries in smart technologies, such as digital twins, blockchain, Internet of Things (IoT), machine learning, artificial intelligence (AI) and semantic web, that have the potential for improving land administration and cadastral systems’ effectiveness and efficiency. This Special Issue focuses on scientific and technical approaches for leveraging technological innovations to support smart land administration and modern cadastral systems. Moreover, innovative approaches for attracting the next generation of students to pursue academic education in the land administration domain, as well as creative land administration educational methods, are of interest to this Special Issue.

In this Special Issue, we invite papers focusing on, but not limited to, the following topics:

  • BIM-driven land administration systems (LAS)
  • Land development end-to-end digital workflow
  • Innovative cadastral data visualization techniques (augmented/virtual/mixed reality)
  • Blockchain for land administration
  • Semantic web-enabled LAS
  • Multi-dimensional cadastral systems
  • Smart land administration enabled by digital twins
  • The role of IoT and real-time data in smart land administration
  • Big data management for land administration
  • Cloud computing, AI, and machine learning for smart land administration
  • Innovative land administration educational approaches for next generations (e.g. mobile apps, games, etc.)

Dr. Hamed Olfat
Prof. Dr. Abbas Rajabifard
Dr. Behnam Atazadeh
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • smart land administration
  • modern cadaster
  • multi-dimensional cadaster
  • digital twins
  • BIM
  • semantic web
  • technological innovations

Published Papers (3 papers)

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Research

22 pages, 21492 KiB  
Article
Changes in the Country and Their Impact on Topographic Data of Agricultural Land—A Case Study of Slovakia
by Zofia Kuzevicova, Diana Bobikova, Stefan Kuzevic and Samer Khouri
Land 2021, 10(11), 1208; https://0-doi-org.brum.beds.ac.uk/10.3390/land10111208 - 08 Nov 2021
Cited by 2 | Viewed by 1775
Abstract
Due to natural phenomena as well as human activities, changes are occurring in land use. Techniques and environment GIS have made it possible to process large amounts of data from various sources. In Slovakia, mapping of topography and elevation is being carried out [...] Read more.
Due to natural phenomena as well as human activities, changes are occurring in land use. Techniques and environment GIS have made it possible to process large amounts of data from various sources. In Slovakia, mapping of topography and elevation is being carried out as part of the elaboration of land readjustment projects. This is also a starting point for updating estimated pedologic-ecological units (EPEUs). Therefore, it is necessary to make efforts to harmonize the real state of the country with the data stored in the EPEU database, which are the basis for spatial analyses in the country and the creation of price maps. The EPEU system was built in the 1970s; however, only after 1990, due to changes in ownership and user conditions of the land, did it begin to seriously address the issue of updating data. This study examines selected sources of altimetry data, especially airborne laser scanning (ALS), and their potential role in processing purpose maps and harmonizing boundary curves and slope and exposure characteristics at a stable 5-position EPEU local code. Based on the obtained results, the use of ALS data and the Digital Terrain Model (DTM) derived from them may lead to the streamlining of some processes in terms of planning and decision-making regarding land use, even outside the context of the ongoing land reforms in the Slovak Republic. Full article
(This article belongs to the Special Issue Smart Land Administration and Modern Cadastre: New Frontiers)
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16 pages, 3437 KiB  
Article
A Proposal for Streamlining 3D Digital Cadastral Data Lifecycle
by Hamed Olfat, Behnam Atazadeh, Farshad Badiee, Yiqun Chen, Davood Shojaei and Abbas Rajabifard
Land 2021, 10(6), 642; https://0-doi-org.brum.beds.ac.uk/10.3390/land10060642 - 16 Jun 2021
Cited by 8 | Viewed by 2757
Abstract
In urban areas, managing the lifecycle of land and property data related to interlocked and intertwined structures and infrastructure services is a grand challenge for cadastral systems. Addressing the physical and legal complexities of vertically stratified ownership arrangements is a major step towards [...] Read more.
In urban areas, managing the lifecycle of land and property data related to interlocked and intertwined structures and infrastructure services is a grand challenge for cadastral systems. Addressing the physical and legal complexities of vertically stratified ownership arrangements is a major step towards the modernization of cadastral systems. The research problem that this study addresses is the lack of a simplified and effective approach for modelling, storing, visualizing, and querying 3D cadastral data for multi-story buildings. This research primarily leads to the development of an approach based on Building Information Modelling (BIM), as well as state-of-the-art ETL (extract, transform, load), database and visualization technologies for 3D cadastral data lifecycle management in current practices. The proposed steps for recording, preserving, and disseminating 3D cadastral data are crucial in shifting current 2D cadastral systems towards 3D digital information systems. The results showed improvements in data creation, storage, conversion, and communication when upgrading from a 2D to 3D digital cadastre. Therefore, this study confirmed that streamlining the lifecycle of cadastral data using 3D environments would mitigate issues associated with the current fragmented 2D cadastral datasets used in the multi-story developments. Full article
(This article belongs to the Special Issue Smart Land Administration and Modern Cadastre: New Frontiers)
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36 pages, 97464 KiB  
Article
Identification of Property Boundaries Using an IFC-Based Cadastral Database
by Maryam Barzegar, Abbas Rajabifard, Mohsen Kalantari and Behnam Atazadeh
Land 2021, 10(3), 300; https://0-doi-org.brum.beds.ac.uk/10.3390/land10030300 - 15 Mar 2021
Cited by 8 | Viewed by 3013
Abstract
Property boundaries have a significant importance in cadaster as they define the legal extent of the ownership rights. Among 3D data models, Industry Foundation Class (IFC) provides the potential capabilities for modelling property boundaries in a 3D environment. In some jurisdictions, such as [...] Read more.
Property boundaries have a significant importance in cadaster as they define the legal extent of the ownership rights. Among 3D data models, Industry Foundation Class (IFC) provides the potential capabilities for modelling property boundaries in a 3D environment. In some jurisdictions, such as Victoria, Australia, some property boundaries are assigned to the faces of building elements which are modelled as solids in IFC. In order to retrieve these property boundaries, boundary identification analysis should be performed, and faces of building elements should be extracted. However, extracting faces of solids from an IFC file is not possible as faces of solids are not considered as a separate object-type. Therefore, this paper aims to develop a spatial query approach for the identification of property boundaries using 3D spatial operators of a database to address this problem. The viability of the developed approach is tested using an IFC-based 3D cadastral database with two real datasets and one test dataset. The proposed methodology not only supports vertical walls and horizontal roofs but can also be used for detecting boundaries in properties surrounded by complex building structures such as oblique and curved walls and roofs. Full article
(This article belongs to the Special Issue Smart Land Administration and Modern Cadastre: New Frontiers)
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