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GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate

In: Advances and New Trends in Environmental Informatics 2023

Author

Listed:
  • Asfa Jamil

    (CYENS Center of Excellence)

  • Chirag Padubidri

    (CYENS Center of Excellence
    Cyprus University of Technology)

  • Savvas Karatsiolis

    (CYENS Center of Excellence)

  • Indrajit Kalita

    (CYENS Center of Excellence)

  • Aytac Guley

    (CYENS Center of Excellence)

  • Andreas Kamilaris

    (CYENS Center of Excellence
    University of Twente)

Abstract

Monitoring the physical and artificial environment at large-scale is crucial for approaching significant problems such as climate change, biodiversity loss, and sustainable urban growth. Towards this direction, GAEA is a novel AI-empowered geospatial online tool, designed to facilitate country-scale environmental monitoring, modelling, analytics, and geo-visualizations, providing valuable insights in the geographical region of the country of Cyprus, with some focus on the real estate application domain. This paper presents the design and development of GAEA, the needs and requirements it addresses, the environmental services it offers, its implementation details and main features, and an evaluation and discussion of its perspectives and overall potential. GAEA offers a user-friendly web interface that allows users to interact with a wide range of services, including land use monitoring, climate information, geohazard, and proximity analysis. GAEA is an important milestone and real-world demonstration of the vision of creating a country-scale environmental digital twin that allows informed decisions in land use assessment, climate analysis, and disaster management.

Suggested Citation

  • Asfa Jamil & Chirag Padubidri & Savvas Karatsiolis & Indrajit Kalita & Aytac Guley & Andreas Kamilaris, 2024. "GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate," Progress in IS, in: Volker Wohlgemuth & Dieter Kranzlmüller & Maximilian Höb (ed.), Advances and New Trends in Environmental Informatics 2023, pages 177-199, Springer.
    • Handle: RePEc:spr:prochp:978-3-031-46902-2_10
    DOI: 10.1007/978-3-031-46902-2_10
    as

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