Application of Deep Learning-based Interpolation Methods to Nearshore Bathymetry

Understand

Nearshore bathymetry, the topography of the ocean floor in coastal zones, is vital for predicting the surf zone hydrodynamics and for route planning to avoid subsurface features.

• Hence, it is increasingly important for a wide variety of applications, including shipping operations, coastal management, and risk assessment.
• However, direct high resolution surveys of nearshore bathymetry are rarely performed due to budget constraints and logistical restrictions.
• Another option when only sparse observations are available is to use Gaussian Process regression (GPR), also called Kriging.