Remote sensing-based automatic detection of shoreline position
A case study in apulia region
Anna Spinosa (TU Delft - Electrical Engineering, Mathematics and Computer Science, Deltares)
Alex Ziemba (TU Delft - Electrical Engineering, Mathematics and Computer Science, Deltares)
Alessandra Saponieri (University of Salento)
Leonardo Damiani (Politecnico di Bari)
Ghada El Serafy (TU Delft - Electrical Engineering, Mathematics and Computer Science, Deltares)
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Abstract
Remote sensing and satellite imagery have become commonplace in efforts to monitor and model various biological and physical characteristics of the Earth. The land/water interface is a continually evolving landscape of high scientific and societal interest, making the mapping and monitoring thereof particularly important. This paper aims at describing a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency satellites, specifically the operational SENTINEL Series. The resultant delineated shorelines are validated against those derived from video monitoring systems and in situ monitoring; a mean distance of 1 and a maximum of 3.5 pixels is found.
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