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...