Smart Land Administration and Modern Cadastre: New Frontiers

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 250 words) can be sent to the Editorial Office for assessment.

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.