Launch of 2024 ITU GeoAI Challenge

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Launch of 2024 ITU GeoAI Challenge

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  • ITU is launching the third edition of the GeoAI Challenge! Students and professionals from around the globe are invited to solve real-world geospatial problems with real-world data by applying artificial intelligence (AI) / machine learning (ML) to advance the United Nations Sustainable Development Goals (SDGs). 

    This session will feature the discussion of three problem statements: 

    • GEO-AI challenge for agricultural plastic cover mapping with satellite imagery”, curated by FAO, the Food and Agriculture Organization of the United Nations.
    • GeoAI Ground-level NO2 Estimation Challenge”, curated by Politecnico di Milano, Department of Civil and Environmental Engineering and University of Padua, Interdepartmental Research Centre in Geomatics (CIRGEO) 
    • GEO-AI challenge for clandestine runways detection in the Peruvian Amazonian basin with open source satellite, curated by the United Nations Office on Drugs and Crime (UNODC) 

    ITU provides a state-of-the-art, free-of-charge compute platform to participants of the Challenge who do not have adequate access to compute in their respective institutions. The compute platform will provide participants with access to: 

    • Free GPUs and CPUs 
    • Hosted Jupyter notebook server 
    • Python kernel 
    • Pre-installed machine learning packages, e.g. PyTorch and Tensorflow 

    In some of the problem statements, a baseline or reference solution may be offered which may include implementations using Jupyter notebooks. 

    Webinars, roundtables and hands-on sessions accompany the GeoAI Challenge. 

    Winners receive cash prizes and certificates. 


    • Presentation of the ITU GeoAI Challenge: goals, objectives and outlook. Andrea Manara, ITU 
    • Presentations of problem statements
      • Agricultural plastic cover mapping, Pengyu Hao (FAO) 
        • Q&A  
      • Ground-level NO2 Estimation, Francesco Pirotti (Universita di Padova, progetto GeoAIR)  
        • Q&A
      • GEO-AI challenge for clandestine runways detection in the Peruvian Amazonian basin with open source satellite, Lorenzo Vita, Jorge Caballero (UNODC) 
        • Q&A 
    • Outlook.  Maria Brovelli, Politecnico di Milano 
    • Q&A general  
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