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Towards a global assessment of coastal dissolved organic carbon
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DOI:10.1016/j.rse.2026.115388.png)
Abstract
En 中文
• A Dissolved Organic Carbon (DOC) algorithm for global coastal ocean was developed. • Optical (ESA OC-CCI) and environmental variables were integrated to estimate DOC. • In situ DOC data from CoastDOM v1 were used for model training and validation. • MLR, RF, and XGBoost were tested to estimate coastal DOC concentrations. • The study advances global carbon assessment in coastal waters.
Keywords:
Dissolved Organic Carbon
Coastal Ocean
Optical Data
Machine Learning
Carbon Assessment
Journal
IF:
11.4
Papers:
1.1W
Citations:
9.4W
