Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/35017| Title: | A Data Fusion Approach to Enhance Satellite Precipitation Product Using Ground-Based Radar | Authors: | Cappelli, Dario Petracca, Ilaria Del Frate, Fabio Tzouvaras, Marios |
Major Field of Science: | Engineering and Technology | Field Category: | Other Engineering and Technologies | Issue Date: | 8-Aug-2025 | Source: | IGARSS 2025-2025 IEEE International Geoscience and Remote Sensing Symposium, Brisbane, Australia, 2025 | Project: | AI-OBSERVER: Enhancing Earth Observation capabilities of the Eratosthenes Centre of Excellence on Disaster Risk Reduction through Artificial Intelligence | Conference: | IEEE International Geoscience and Remote Sensing Symposium | URI: | https://hdl.handle.net/20.500.14279/35017 | Type: | Conference Paper | Affiliation : | University of Rome Tor Vergata ERATOSTHENES Centre of Excellence Cyprus University of Technology |
Publication Type: | Peer Reviewed |
| Appears in Collections: | Δημοσιεύσεις σε συνέδρια /Conference papers or poster or presentation |
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