Thin Sea Ice Thickness Prediction Using Multivariate Radar-Physical Features and Machine Learning Algorithms
Climate change in the Arctic is causing significant declines in sea ice extent and thickness. This study investigated lab-grownsea ice thickness using Linear Regression and three Machine Learning algorithms: Decision Tree, Random Forest, and Fully Connected Neural Network. To comprehensively track t...
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| Principais autores: | , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
MDPI AG
2025-08-01
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| Serier: | Remote Sensing |
| Fag: | |
| Online adgang: | https://www.mdpi.com/2072-4292/17/17/3002 |
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