Salvato in:
| Autori principali: | , , , , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | https://arxiv.org/abs/2511.13807 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866909909446033408 |
|---|---|
| author | Kamilaris, Andreas Padubidri, Chirag Jamil, Asfa Amin, Arslan Kalita, Indrajit Harti, Jyoti Karatsiolis, Savvas Guley, Aytac |
| author_facet | Kamilaris, Andreas Padubidri, Chirag Jamil, Asfa Amin, Arslan Kalita, Indrajit Harti, Jyoti Karatsiolis, Savvas Guley, Aytac |
| contents | This paper describes the experiences and lessons learned after the deployment of a country-scale environmental digital twin on the island of Cyprus for three years. This digital twin, called GAEA, contains 27 environmental geospatial services and is suitable for urban planners, policymakers, farmers, property owners, real-estate and forestry professionals, as well as insurance companies and banks that have properties in their portfolio. This paper demonstrates the power, potential, current and future challenges of geospatial analytics and environmental digital twins on a large scale. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_13807 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GAEA: Experiences and Lessons Learned from a Country-Scale Environmental Digital Twin Kamilaris, Andreas Padubidri, Chirag Jamil, Asfa Amin, Arslan Kalita, Indrajit Harti, Jyoti Karatsiolis, Savvas Guley, Aytac Computers and Society Artificial Intelligence Emerging Technologies This paper describes the experiences and lessons learned after the deployment of a country-scale environmental digital twin on the island of Cyprus for three years. This digital twin, called GAEA, contains 27 environmental geospatial services and is suitable for urban planners, policymakers, farmers, property owners, real-estate and forestry professionals, as well as insurance companies and banks that have properties in their portfolio. This paper demonstrates the power, potential, current and future challenges of geospatial analytics and environmental digital twins on a large scale. |
| title | GAEA: Experiences and Lessons Learned from a Country-Scale Environmental Digital Twin |
| topic | Computers and Society Artificial Intelligence Emerging Technologies |
| url | https://arxiv.org/abs/2511.13807 |