Hussein M. Rashad

Comparative machine-learning retrieval of high-precision bathymetry from multispectral remote sensing: a case study of Manzala Lagoon, Egypt

An interpretable machine-learning framework for satellite-derived bathymetry using Landsat 8 multispectral imagery calibrated with extensive echo-sounder measurements is developed and offers a transparent, scalable approach for bathymetric mapping that supports hydrodynamic modeling, sediment transport studies, and sus...