Remote sensing-based automatic detection of shoreline position

Title

Remote sensing-based automatic detection of shoreline position: A case study in apulia region

 Author

Spinosa, A. (TU Delft Mathematical Physics; Deltares)
Ziemba, A.M. (TU Delft Mathematical Physics; Deltares) ORCID 0000-0002-8293-6376
Saponieri, Alessandra (University of Salento)
Damiani, Leonardo (Polytechnic University of Bari)
El Serafy, G.Y.H. (TU Delft Mathematical Physics; Deltares)

Date

2021

 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.


 Subject

Coastal monitoring
Copernicus
Remote sensing
SAR
Shoreline detection

 To reference this document use:

http://resolver.tudelft.nl/uuid:61269165-ba8c-44bf-9fbd-e2d855e10dc1

 DOI

https://doi.org/10.3390/jmse9060575

 ISSN

2077-1312

 Source

Journal of Marine Science and Engineering, 9 (6), 1-20

 Part of collection

Institutional Repository

 Document type

journal article

 Rights

© 2021 A. Spinosa, A.M. Ziemba, Alessandra Saponieri, Leonardo Damiani, G.Y.H. El Serafy
Files
PDF jmse_09_00575.pdf 87.54 MB
Close viewer