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Review Open access 2026

A Geographically and Physics-Informed Convolutional Neural Network for Satellite-Derived Bathymetry Using ICESat-2 and Sentinel-2 Datasets

Accurate bathymetric data are vital for the development of the blue economy and marine ecological civilization, but conventional surveys are costly and spatially limited. Satellite-derived bathymetry offers broader coverage at lower cost, yet its accuracy is often constrained by limited reference-depth data and spatial...

Wei-Dong Zhu, Qi-Di Xie, Yan-Ying Huang et al. · 0 citations

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