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This study presents a new approach to optimize the habitat mapping process of the Posidonia oceanica algae on the east coast of the Adriatic Sea. Mapping of underwater and coastal habitats in the Adriatic Sea, until now, was conducted by direct methods (diving, drop-down camera, etc.) in combination with indirect modelling, which in the majority of cases results in data heterogeneity. The mentioned approach has proven unreliable, expensive, and only informative. Modern indirect, remote sensing methods enable an an...

Nowadays, remote sensing techniques play an important role in the rapid acquisition of a large amount of spatial environmental data. The development of sensors in the last decade has led to the development of Earth observation satellite missions, e.g., Sentinel, PlanetScope. Numerous machine learning and deep learning methods are used in nowadays research to classify satellite imagery to enable rapid environmental mapping (e.g., land cover and land use, water bodies). Posidonia oceanica is considered the most impo...