Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/35001| Title: | Mapping Disaster Resilience: GeoAI Best Practices from the UN-SPIDER Network, AI for Good Global Summit 2025 | Authors: | United Nations Office for Outer Space Affairs (UNOOSA) | Major Field of Science: | Engineering and Technology | Field Category: | Electrical Engineering - Electronic Engineering - Information Engineering | Issue Date: | 9-Jul-2025 | Source: | Presented at the AI for Good Global Summit. | Link: | https://www.un-spider.org/sites/default/files/UN-SPIDER%20GeoAI%20Compendium.pdf | Project: | AI-OBSERVER: Enhancing Earth Observation capabilities of the Eratosthenes Centre of Excellence on Disaster Risk Reduction through Artificial Intelligence | URI: | https://hdl.handle.net/20.500.14279/35001 | Type: | Report | Affiliation : | United Nations Office for Outer Space Affairs (UNOOSA) | Publication Type: | Peer Reviewed |
| Appears in Collections: | Εκθέσεις/Reports |
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