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 describe a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency (ESA) satellites. The resultant delineated shorelines are validated against those derived from video-monitoring systems extracted and in-situ monitoring; a mean distance of 1 to 3.51 pixels is found.

Automatic extraction of shoreline from satellite images: A new approach

Anna Spinosa;Alessandra Saponieri;Leonardo Damiani;
2019-01-01

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 describe a new automated method of shoreline position detection through the utilization of Synthetic Aperture Radar (SAR) images derived from European Space Agency (ESA) satellites. The resultant delineated shorelines are validated against those derived from video-monitoring systems extracted and in-situ monitoring; a mean distance of 1 to 3.51 pixels is found.
2019
IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2018
978-1-5386-7644-8
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11589/174340
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