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Updated: Jan 7, 2026

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在爱尔兰沿海地区使用机器学习建模悬浮沉积物度

Aoife Igoe1, Iris Möller2, Biswajit Basu3

  • 1Department of Electronic and Electrical Engineering, Trinity College Dublin, Dublin, Ireland.

Cambridge prisms. Coastal futures
|December 25, 2025
PubMed
概括

这项研究开发了一种使用卫星图像来估计悬浮沉积物度 (SSC) 的机器学习模型. XGBoost模型准确地预测SSC,为沿海环境提供可扩展和具有成本效益的监测解决方案.

关键词:
沿海地区的监测.沿海水域的沿海水域机器学习是机器学习.远程传感是一种遥感技术.沉积物运输是一种沉积物运输.

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