Book Chapter

Advances on coastal erosion assessment from satellite earth observations: exploring the use of Sentinel products along with very high resolution sensors

  • Paula Gomes da Silva
  • Anne-Laure Beck
  • Jara Martinez Sanchez
  • Raúl Medina Santanmaria
  • Martin Jones
  • Mohamed Amine Taji

This work proposes the use of automatic co-registered satellite images to obtain large, high frequency and highly accurate shorelines time series. High resolution images are used to co-register Landsat and Sentinel-2 images. 90% of the co-registered images presented vertical and horizontal shift lower than 3 m. Satellite derived shorelines presented errors lower than mission’s precision. A discussion is presented on the applicability of those shorelines through an application to Tordera Delta (Spain).

  • Keywords:
  • Tordera Delta Optical imaging satellites Co-registration Spatial accuracy,
  • Shoreline detection,
  • Coastal Change,
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Paula Gomes da Silva

University of Cantabria, Spain - ORCID: 0000-0003-4766-8449

Anne-Laure Beck

ARGANS, France - ORCID: 0000-0001-5272-9643

Jara Martinez Sanchez

University of Cantabria, Spain - ORCID: 0000-0003-4917-4215

Raúl Medina Santanmaria

University of Cantabria, Spain - ORCID: 0000-0002-0126-2710

Martin Jones

ARGANS, United Kingdom

Mohamed Amine Taji

ARGANS, France - ORCID: 0000-0002-5557-287X

  1. Blasco, D. (2011) Evolución costera del Maresme Norte (Blanes-Arenys). Case. Master’s Thesis, Faculty of Civil Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain, 2013. Available online: https://upcommons.upc.edu/handle/2099.1/12961
  2. CEDEX – Centro de Estudios y Experimentación de Obras Públicas (2014) Estudios de dinámica litoral, defensa y propuestas de mejora en las playas con problemas erosivos, considerando los efectos del cambio climático: Estrategia de actuación en el Maresme.
  3. Clerc, S (2020) Sentinel-2 L1C Data Quality Report. Available online: sentinel.esa.int/documents/247904/685211/Sentinel-2_L1C_Data_Quality_Report.
  4. Jiménez, J.A. Characterising Sant Esteve’s storm (2008) along the Catalan coast (NW Mediterranean). In Assessment of the Ecological Impact of the Extreme Storm of Sant Esteve’s Day (26 December 2008) on the Littoral Ecosystems of the North Mediterranean S
  5. Jiménez, J.A., Gracia, V., Valdemoro, H.I., Mendoza, E.T., Sánchez-Arcilla, A. (2011) Managing erosion-induced problems in NW Mediterranean urban beaches. Ocean Coast. Man., 54, 907-918. DOI: 10.1016/j.ocecoaman.2011.05.003
  6. Jiménez, J.A., Sanuy, M., Ballesteros, C., Valdemoro, H.I. (2017) The Tordera Delta, a hotspot to storm impacts in the coast northwards of Barcelona (NW Mediterranean). Coast. Eng., 134, 148-158. DOI: 10.1016/j.coastaleng.2017.08.012
  7. Liu, Q., Trinder, J., Turner, I.L. (2017) Automatic super-resolution shoreline change monitoring using Landsat archival data: a case study at Narrabeen-Collaroy Beach, Australia. J. Appl. Remote Sens., 11, 016036. DOI: 10.1117/1.JRS.11.016036
  8. Plana-Casado, A. Storm-Induced Changes in the Catalan Coast Using Lidar: The St. Esteve Storm (26/12/2008) Case. Master’s Thesis, Faculty of Civil Engineering, Universitat Politècnica de Catalunya, Barcelona, Spain, 2013. Available online: http://hdl.hand
  9. Rovira, A., Batalla, R.J., Sala, M. (2005) Response of a river budget after historical gravel mining (the lower Tordera, NE Spain). River Res. Appl., 21, 829-847. DOI: 10.1002/rra.885
  10. Sanuy, M., Jiménez, J.A. (2019) Sensitivity of storm-induced hazards in a highly curvilinear coastline to changing storm directions. The Tordera Delta Case (NW Mediterranean). Water, 11, 747. DOI: 10.3390/w11040747
  11. Scheffler, D., Hollstein, A., Diedrich, H., Segl, K., et Hostert, P. (2017) AROSICS: An Automated and Robust Open-Source Image Co-Registration Software for Multi-Sensor Satellite Data, Remote Sens., 9 (7), 676. DOI: 10.3390/rs9070676
  12. Sutherland, J., Peet, A.H., Soulsby, R.L. (2004) Evaluating the performance of morphological models. Coast. Eng., 51, 917-939. DOI: 10.1016/j.coastaleng.2004.07.015
  13. Thieler, E. R., Himmelstoss, E. A., Zichichi, J. L., & Ergul, A. (2009). The Digital Shoreline Analysis System (DSAS) version 4.0-an ArcGIS extension for calculating shoreline change (No. 2008-1278). US Geological Survey.
  14. Vos, K., Harley, M.D., Splinter, K.D., Simmons, J.A., Turner, I.L. (2019) Sub-annual to multi-decadal shoreline variability from publicly available satellite imagery. Coast. Eng., 150, 160-174. DOI: 10.1016/j.coastaleng.2019.04.004
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  • Publication Year: 2020
  • Pages: 412-421
  • Content License: CC BY 4.0
  • © 2020 Author(s)

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  • Publication Year: 2020
  • Content License: CC BY 4.0
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Chapter Information

Chapter Title

Advances on coastal erosion assessment from satellite earth observations: exploring the use of Sentinel products along with very high resolution sensors

Authors

Paula Gomes da Silva, Anne-Laure Beck, Jara Martinez Sanchez, Raúl Medina Santanmaria, Martin Jones, Mohamed Amine Taji

Language

English

DOI

10.36253/978-88-5518-147-1.41

Peer Reviewed

Publication Year

2020

Copyright Information

© 2020 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Bibliographic Information

Book Title

Eighth International Symposium “Monitoring of Mediterranean Coastal Areas. Problems and Measurement Techniques”

Book Subtitle

Livorno (Italy) June 2020

Editors

Laura Bonora, Donatella Carboni, Matteo De Vincenzi

Peer Reviewed

Publication Year

2020

Copyright Information

© 2020 Author(s)

Content License

CC BY 4.0

Metadata License

CC0 1.0

Publisher Name

Firenze University Press

DOI

10.36253/978-88-5518-147-1

eISBN (pdf)

978-88-5518-147-1

eISBN (xml)

978-88-5518-148-8

Series Title

Proceedings e report

Series ISSN

2704-601X

Series E-ISSN

2704-5846

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