Percorrer por autor "Robledo, Ivan Piquer"
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- Oceanography data acquisition and analysisPublication . Robledo, Ivan Piquer; Gauci, Adam; Fernandez, HelenaDetailed bathymetry is necessary for reliable coastal zone management and operations. While traditional in-situ echo sounding offers high precision, it suffers from inefficiencies in shallow waters and incurs logistical costs. Similarly, LiDAR mapping provides efficient coverage of coastal areas but comes with high acquisition expenses. In contrast, Satellite Derived Bathymetry presents a more cost-effective alternative for mapping coastal regions, albeit typically at a lower resolution. This study addresses the need for precise shallow water bathymetry around the Maltese Islands by integrating in-situ and remote data from Landsat 9, Planet Scope and Sentinel 2-A satellites. We investigate both conventional linear regression models and advanced machine learning techniques, specifically the Random Forest algorithm. An empirical workflow was developed from various band combinations, calibrated against extensive on-site measurements. The research provides a comprehensive insight into the depth accuracy achievable for shallow coastal regions using these diverse satellite platforms and modeling approaches, contributing to more efficient and reliable bathymetric mapping for coastal applications.