Units
1. Introduction to Artificial Intelligence and Verification Discipline in Mapping Engineering 2. Geodesy, GNSS and Survey Data Processing 3. Coordinate Systems, Datum and Transformation Verification 4. GIS/GIS Analysis and Spatial Queries 5. Remote Sensing and Satellite Image Classification 6. Model Generation from Photogrammetry and UAV Images 7. LiDAR Point Cloud Processing and Classification 8. Map Production Automation and Cartography 9. Cadastre, Title Deed and Ownership Data 10. Geomatics Automation with Python 11. QGIS Automation, Ethics, Privacy and End-to-End Project
Unit 9 / 11

Cadastre, Title Deed and Ownership Data

Gains:

  • Understanding the role and limits of AI in cadastral parcel, land registry, application and registration processes
  • Ability to scan parcel geometry, neighborhood and area conflicts with AI-supported checklists
  • Ability to subject AI output to authorized approval while respecting the legality and confidentiality of property data
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