Significant Improvement in Short-Term Green-Tide Transport Predictions Using the XGBoost Model
Accurately predicting the drift trajectory of green tides is crucial for assessing potential risks and implementing effective countermeasures. This paper proposes a short-term green-tide drift prediction method that combines green-tide patch characteristics, 1 h interval drift distances from GOCI-II...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
MDPI AG
2025-05-01
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| Σειρά: | Remote Sensing |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2072-4292/17/9/1636 |
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