Chlorophyll-a Prediction Based on Machine Learning and Satellite Data in the South Sea of Korea
Chlorophyll-a (Chl-a) is a critical indicator of phytoplankton biomass, offering key insights into changes in marine ecosystems, including algal blooms and nutrient cycling. However, predicting Chl-a concentrations using numerical models remains challenging due to the intricate interplay of climatic...
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| Autori principali: | , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2025-01-01
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| Serie: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
| Soggetti: | |
| Accesso online: | https://ieeexplore.ieee.org/document/11086093/ |
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