External Use Case

Satellite-derived Bathymetry

Aim

Develop an automated system for high-resolution bathymetry mapping using satellite imagery, specifically targeting the coastlines of Mallorca Island and the Balearic Islands.
Current methods rely on manual calibration and processing, which limits data acquisition frequency and scalability. This research proposes a deep learning-based approach to automate bathymetry estimation, leveraging the success of initial local tests.

Development actions during iMagine

Data Collection

System set-up and data upload

Data Curation and Preprocessing

Data Training and Calibration

Data Validation

Calibration, Retraining, Validation

Expected Results

The use case aims to achieve:

Automation: Eliminate the need for manual calibration in bathymetry estimation.
Scalability: Enable large-scale bathymetry mapping of entire islands.
Improved Accuracy: Explore advanced DL techniques for potentially higher accuracy.

This automated system will provide a cost-effective and efficient solution for continuous, high-resolution bathymetry data acquisition for coastal studies.

Involved Institutions

ICMAN

Instituto de Ciencias Marinas de Andalucía (ICMAN, CSIC)