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Real-time 3D urban CO₂ & district heating visualization with GeoAI, QGIS & open data

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  • Date
    4 November 2025
    Timeframe
    13:30 - 15:30 CET Geneva
    Duration
    120 minutes

      This workshop presents a 3D web application for real-time visualization of CO₂ emissions and district heating demand, powered by GeoAI and open geospatial data. The system integrates ALKIS cadastral data, CityGML building models, and infrastructure layers within QGIS and PostgreSQL, and displays them interactively using CesiumJS. A custom GeoAI model estimates CO₂ emissions and heating demand at the building level based on attributes such as usage type, construction year, geometry, and roof structure. Updates made in QGIS or remotely via QFieldCloud are instantly reflected in the 3D environment, where buildings are dynamically styled according to emission levels or district heating connectivity. This scalable, open-source framework supports climate-responsive planning, sustainable energy infrastructure design, and municipal decision-making. 

       Instructions for the Workshop 

      1. Data Integration
        • Import cadastral data (ALKIS) and Cesium 3D Tiles into QGIS.
        • Store and manage spatial and attribute data in PostgreSQL/PostGIS. 
      2. GeoAI Model Setup 
        • Use a trained GeoAI model to estimate CO emissions and heating demand. 
        • Perform calculations based on building attributes (usage type, year of construction, geometry, roof type). 
      3. System Synchronization 
        • Connect QGIS with the GeoAI model via REST APIs. 
        • Ensure dynamic synchronization of 2D data updates in QGIS through REST API integration. 
      4. 3D Visualization 
        • Understand the concept of 3D tile rendering and API-driven integration.
        • Apply dynamic styling to buildings based on CO emissions and district heating connection status. 
      5. Applications & Outcomes 
        • Support municipal climate planning and sustainable infrastructure development. 
        • Enable scenario analysis for district heating expansion and CO reduction strategies.

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