Aims & Scope


Kadaster serves as a scholarly publication platform catering to researchers engaged in the realm of land information technology. It serves as a wellspring of knowledge for practitioners in the land sector. The journal, with the ISSN number 3031-9528, is poised to consider original contributions that have not undergone prior publication, encompassing research manuscripts and project reports. Scheduled for biannual release, the journal is specifically tailored to address the scholarly community specializing in land information technology as well as professionals within the broader domain of the land sector.


The scope of the Kadaster is land information technology and its related applications. The major areas that cover the content of the journal are:

  • Surveying and Mapping Technology for Cadaster (GNSS, Remote Sensing, UAV, Mobile Mapping, etc.)
  • Surveying and Mapping Projects for Cadaster (Sistematic Land Registration, etc.)
  • Land Administration (Land Tenure, Land Value, Land Use, Land Development, etc.)
  • Land Services (Online Land Services, Digital Transformation, Services Quality Assurance, etc.)
  • Digital Law (Electronic Certificates, Electronic Transactions, Electronic Archives, Electronic Stamps, Electronic Signatures, Electronic Evidence, Electronic Land Services, E-Conveyancing, etc.)
  • Geospatial applications (Land Information System, Spatial Planning, Disaster Risk Management, etc.).
  • Professional skills for cadastre employees (Education, Curriculum, Competence, License, etc.)
  • Utilization of information, surveying and mapping technology to resolve land cases (Disputes, Conflicts, etc.)
  • Spatial data modeling for Cadastre (3D and multi-dimensional modeling, data structures and algorithms, uncertainty modelling, ontologies, etc.);
  • Spatial data management (spatial databases, cloud data management, blockchain, etc.);
  • Geospatial artificial intelligence (machine learning, deep learning, big data, data mining, etc.);
  • Cartography (geo-visualization, visual analytics, augmented and virtual reality, etc.)
  • Spatial data infrastructures (land data integration, land data sharing, standards, metadata, One Map policies, etc.);
  • Geospatial web (semantic web, Internet of Things, sensor networks, web services, cloud computing, interoperability, etc.);
  • Citizen science, crowdsourcing and volunteered geographic information (open data, social media, etc.);