Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/33171
DC FieldValueLanguage
dc.contributor.authorJamil, Asfa-
dc.contributor.authorPadubidri, Chirag-
dc.contributor.authorKaratsiolis, Savvas-
dc.contributor.authorKalita, Indrajit-
dc.contributor.authorGuley, Aytac-
dc.contributor.authorKamilaris, Andreas-
dc.date.accessioned2024-11-15T07:46:30Z-
dc.date.available2024-11-15T07:46:30Z-
dc.date.issued2023-
dc.identifier.citationAdvances and New Trends in Environmental Informatics, 2023en_US
dc.identifier.isbn9783-031469015-
dc.identifier.isbn9783031469022-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/33171-
dc.description.abstractMonitoring 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.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectSustainable urban growthen_US
dc.subjectAI-empowered geospatial toolen_US
dc.subjectClimate changeen_US
dc.subjectCountry-scale modellingen_US
dc.subjectEnvironmental digital twinsen_US
dc.subjectEnvironmental monitoringen_US
dc.subjectGAEAen_US
dc.subjectGeo-visualizationsen_US
dc.subjectGeoinformaticsen_US
dc.titleGAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estateen_US
dc.typeBook Chapteren_US
dc.collaborationCYENS - Centre of Excellenceen_US
dc.collaborationCyprus University of Technologyen_US
dc.collaborationUniversity of Twenteen_US
dc.subject.categoryNATURAL SCIENCESen_US
dc.journalsOpen Accessen_US
dc.countryCyprusen_US
dc.countryNetherlandsen_US
dc.subject.fieldNatural Sciencesen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.1007/978-3-031-46902-2_10en_US
dc.identifier.scopus2-s2.0-85191516005-
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85191516005-
cut.common.academicyear2024-2025en_US
item.openairecristypehttp://purl.org/coar/resource_type/c_3248-
item.openairetypebookPart-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.languageiso639-1en-
item.fulltextNo Fulltext-
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