My work lies at the interface between optical remote sensing and applied marine ecology, focusing on methods to map coastal and underwater ecosystems, with emphasis on macroalgal forests and seagrass meadows.

I adopt a multiscale perspective, integrating 3D underwater models, UAS imagery, and satellite data. From these sources, habitats map are generated using a range of approaches, from manual digitisation and classical machine-learning methods to more recent deep-learning techniques. A central component of my work is the collection of high-quality field data, in both intertidal and subtidal environments, to assess and interpret model outputs and map quality.