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 10 / 11

Geomatics Automation with Python

Gains:

  • Ability to produce spatial data processing code with AI with libraries such as GeoPandas, Rasterio, Shapely and PyProj
  • Ability to automate repetitive transformation, consolidation and report generation tasks with AI-powered scripts
  • Ability to verify and safely use the geomatic code produced by AI with small test data and order control
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