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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

A geographically and physics-informed convolutional neural network (GPI-CNN) that integrates Sentinel-2 multispectral imagery with ICESat-2-derived bathymetric samples and geographic coordinates and improves bathymetric inversion accuracy is proposed.

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

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