Bridging the cloud gap: AHI/ATMS synergy through CNN feature fusion for all-weather SST retrieval
Infrared-based Sea Surface Temperature (SST) retrieval methods face persistent challenges from cloud-induced data gaps and accuracy degradation. This study bridges this critical limitation through multisensor satellite synergy, integrating geostationary Advanced Himawari Imager (AHI) with Advanced T...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Elsevier
2025-11-01
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| Schriftenreihe: | International Journal of Applied Earth Observations and Geoinformation |
| Schlagworte: | |
| Online-Zugang: | http://www.sciencedirect.com/science/article/pii/S1569843225005345 |
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