Articles | Volume 26, issue 4
https://doi.org/10.5194/nhess-26-1685-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-26-1685-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Apr 2026
Research article |
| 14 Apr 2026
| 14 Apr 2026
A geospatial database of coastal characteristics for erosion assessment of Europe's coastal floodplains
Tyndall Centre for Climate Change Research, University of East Anglia, Norwich NR4 7TJ, UK
Robert J. Nicholls
Tyndall Centre for Climate Change Research, University of East Anglia, Norwich NR4 7TJ, UK
School of Engineering, University of Southampton, Southampton SO17 1 BJ, UK
Floris R. Calkoen
Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Deltares, Boussinesqweg 1, 2629 HV Delft, the Netherlands
Gonéri Le Cozannet
Bureau de Recherches Géologiques et Minières (BRGM), French Geological Survey, Orléans 45060, France
Arjen P. Luijendijk
Faculty of Civil Engineering and Geosciences, Department of Hydraulic Engineering, Delft University of Technology, Delft, the Netherlands
Deltares, Boussinesqweg 1, 2629 HV Delft, the Netherlands
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Cited articles
Almar, R., Ranasinghe, R., Bergsma, E. W. J., Diaz, H., Melet, A., Papa, F., Vousdoukas, M., Athanasiou, P., Dada, O., Almeida, L. P., and Kestenare, E.: A global analysis of extreme coastal water levels with implications for potential coastal overtopping, Nat. Commun., 12, 3775, https://doi.org/10.1038/s41467-021-24008-9, 2021.
Andrade, M. J., Jiménez-Morales, E., Rodríguez-Ramos, R., and Martínez-Ramírez, P.: Reuse of port industrial heritage in tourist cities: Shipyards as case studies, Frontiers of Architectural Research, 13, 164–183, https://doi.org/10.1016/j.foar.2023.09.005, 2024.
Athanasiou, P., van Dongeren, A., Pronk, M., Giardino, A., Vousdoukas, M., and Ranasinghe, R.: Global Coastal Characteristics (GCC): a global dataset of geophysical, hydrodynamic, and socioeconomic coastal indicators, Earth Syst. Sci. Data, 16, 3433–3452, https://doi.org//10.5194/essd-16-3433-2024, 2024.
Bateman, M. D., McHale, K., Bayntun, H. J., and Williams, N.: Understanding historical coastal spit evolution: A case study from Spurn, East Yorkshire, UK, Earth Surf. Proc. Land., 45, 3670–3686, https://doi.org/10.1002/esp.4991, 2020.
BGS: GeoCoastOpen, British Geological Society, https://www.bgs.ac.uk/datasets/geocoast-open/ (last access: 16 May 2025), 2023.
Bird, E.: Coastal changes: a global review, Wiley, New York, USA, 219 pp., ISBN 0-471-90646-8, 1985.
Brand, E., Ramaekers, G., and Lodder, Q.: Dutch experience with sand nourishments for dynamic coastline conservation – An operational overview, Ocean Coast. Manage., 217, 106008, https://doi.org/10.1016/j.ocecoaman.2021.106008, 2022.
Calkoen, F. R., Luijendijk, A. P., Vos, K., Kras, E., and Baart, F.: Enabling coastal analytics at planetary scale, Environ. Modell. Softw., 183, 106257, https://doi.org/10.1016/j.envsoft.2024.106257, 2025.
Castelle, B., Guillot, B., Marieu, V., Caumillon, E., Hanquiez, V., Bujan, S., and Poppeschi, C.: Spatial and temporal patterns of shoreline change of a 280-km high-energy disrupted sandy coast from 1950 to 2014: SW France, Estuar. Coast. Shelf S., 200, 212–223, https://doi.org/10.1016/j.ecss.2017.11.005, 2018.
CLC: CORINE Land Cover 2018 (vector), Europe, 6-yearly - version 2020_20u1, May 2020, EEA geospatial data catalogue [data set], https://doi.org/10.2909/71c95a07-e296-44fc-b22b-415f42acfdf0, 2020.
de Schipper, M. A., Ludka, B. C., Raubenheimer, B., Luijendijk, A. P., and Schlacher, T. A.: Beach nourishment has complex implications for the future of sandy shores, Nature Reviews Earth & Environment, 2, 70–84, https://doi.org/10.1038/s43017-020-00109-9, 2021.
Dullaart, J. C. M., Muis, S., Bloemendaal, N., Chertova, M. V., Couasnon, A., and Aerts, J. C. J. H.: Accounting for tropical cyclones more than doubles the global population exposed to low-probability coastal flooding, Communications Earth & Environment, 2, 135, https://doi.org/10.1038/s43247-021-00204-9, 2021.
EA: National Coastal Erosion Risk Mapping (NCERM): https://environment.data.gov.uk/dataset/9fede91f-5acd-4fd2-9bd8-98153fa3c2ff, last access: 19 November 2025.
EEA: Geology and geomorphology (EUROSION), Retrieved April 2023, from https://www.eea.europa.eu/data-and-maps/figures/geology-and-geomorphology, 2004.
EEA: coastline for analysis [dataset]: Retrieved April 2023, from https://sdi.eea.europa.eu/catalogue/srv/api/records/af40333f-9e94-4926-a4f0-0a787f1d2b8f, 2017.
Enwright, N. M., Griffith, K. T., and Osland, M. J.: Barriers to and opportunities for landward migration of coastal wetlands with sea-level rise, Frontiers in Ecology and the Environment, 14, 307–316, https://doi.org/10.1002/fee.1282, 2016.
Esri: Esri World Imagery, https://www.arcgis.com/home/item.html?id=10df2279f9684e4a9f6a7f08febac2a9 (last access: 19 November 2024), 2024.
EU-DEM: Copernicus European Digital Elevation Model, Eurostat [dataset], https://ec.europa.eu/eurostat/web/gisco/geodata/digital-elevation-model/eu-dem (last access: 10 April 2023), 2016.
Eurosion: D2.3.3 Eurosion Dataset Structure Description, European Commission Contract nr. B4-3301/2001/329175/MAR/B3, http://www.eurosion.org/reports-online/databasestructure.pdf (last access: 19 April 2023), 2003.
Eurosion: EUROSION portal, http://www.eurosion.org/home/main.html (last access: 18 January 2025), 2004.
Finkl, C. W.: Coastal classification: Systematic approaches to consider in the development of a comprehensive scheme, J. Coastal Res., 20, 166–213, https://doi.org/10.2112/1551-5036(2004)20[166:CCSATC]2.0.CO;2, 2004.
Foster, N. M., Hudson, M. D., Bray, S., and Nicholls, R. J.: Intertidal mudflat and saltmarsh conservation and sustainable use in the UK: A review, J. Environ. Manage., 126, 96–104, https://doi.org/10.1016/j.jenvman.2013.04.015, 2013.
Georgic, W. and Klaiber, H. A.: A flood of construction: The role of levees in urban floodplain development, Land Econ., 98, 78–97, https://doi.org/10.3368/le.98.1.071520-0106R1, 2022.
Gerard, F. and Lang, M.: Xynthia : analyse des causes et des conséquences de la catastrophe, La Houille Blanche, 105, 149–156, https://doi.org/10.1051/lhb/2019025, 2019.
Google Earth: https://earth.google.com/web (last access: 23 May 2025), 2024.
Grases, A., Gracia, V., García-León, M., Lin-Ye, J., and Sierra, J. P.: Coastal flooding and erosion under a changing climate: Implications at a low-lying coast (Ebro Delta), Water, 12, https://doi.org/10.3390/w12020346, 2020.
Hagenaars, G., de Vries, S., Luijendijk, A. P., de Boer, W. P., and Reniers, A. J. H. M.: On the accuracy of automated shoreline detection derived from satellite imagery: A case study of the sand motor mega-scale nourishment, Coast. Eng., 133, 113–125, https://doi.org/10.1016/j.coastaleng.2017.12.011, 2018.
Hanson, H., Brampton, A., Capobianco, M., Dette, H. H., Hamm, L., Laustrup, C., Lechuga, A., and Spanhoff, R.: Beach nourishment projects, practices, and objectives – a European overview, Coast. Eng., 47, 81–111, https://doi.org/10.1016/S0378-3839(02)00122-9, 2002.
Hanson, S., Nicholls, R. J., Balson, P., Brown, I., French, J. R., Spencer, T., and Sutherland, W. J.: Capturing coastal geomorphological change within regional integrated assessment: An outcome-driven fuzzy logic approach, J. Coastal Res., 26, 831–842, https://doi.org/10.2112/jcoastres-d-09-00078.1, 2010.
Hinkel, J., Nicholls, R. J., Tol, R. S. J., Wang, Z. B., Hamilton, J. M., Boot, G., Vafeidis, A. T., McFadden, L., Ganopolski, A., and Klein, R. J. T.: A global analysis of erosion of sandy beaches and sea-level rise: An application of DIVA, Global Planet. Change, 111, 150–158, https://doi.org/10.1016/j.gloplacha.2013.09.002, 2013.
Hudson, R., Kenworthy, J., and Best, M. (Eds.): Saltmarsh Restoration Handbook: UK and Ireland, UK Environment Agency, Bristol, UK, https://catchmentbasedapproach.org/learn/saltmarsh-restoration-handbook/ (last access: 25 March 2026), 2021.
Hulskamp, R., Luijendijk, A., van Maren, B., Moreno-Rodenas, A., Calkoen, F., Kras, E., Lhermitte, S., and Aarninkhof, S.: Global distribution and dynamics of muddy coasts, Nat. Commun., 14, 8259, https://doi.org/10.1038/s41467-023-43819-6, 2023.
Jiménez, J. A., Winter, G., Bonaduce, A., Depuydt, M., Galluccio, G., van den Hurk, B., Meier, H. E. M., Pinardi, N., Pomarico, L. G., and Vazquez Riveiros, N.: Sea Level Rise in Europe: Knowledge gaps identified through a participatory approach, in: Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise, edited by: , Copernicus Publications, State Planet, 3-slre1, 3, https://doi.org/10.5194/sp-3-slre1-3-2024, 2024.
Kennedy, D. M., McInnes, K. L., and Ierodiaconou, D.: Understanding coastal erosion on beaches: A guide for managers, policy makers and citizen scientists, Earth System and Climate Change Hub of the Australian Government's National Environmental Science Program (National Centre for Coasts & Climate) and the Department of Environment, Land, Water and Planning (Victorian Coastal Monitoring Program), https://www.marineandcoasts.vic.gov.au/__data/assets/pdf_file/0029/444683/Understanding-coastal-erosion-on-beaches-booklet.pdf (last access: 25 March 2026), 2019.
Leaman, C. K., Harley, M. D., Splinter, K. D., Thran, M. C., Kinsela, M. A., and Turner, I. L.: A storm hazard matrix combining coastal flooding and beach erosion, Coast. Eng., 170, 104001, https://doi.org/10.1016/j.coastaleng.2021.104001, 2021.
Le Cozannet, G., Bulteau, T., Garcin, M., Garnier, C., Müller, H., Hoareau, A., and Mallet, C.: Detecting errors in coastal databases using Bayesian Networks, J. Coastal Res., 75, 1162–1166, https://doi.org/10.2112/si75-233.1, 2016.
Le Cozannet, G., Nicholls, R. J., Hinkel, J., Sweet, W. V., McInnes, K. L., Van de Wal, R. S. W., Slangen, A. B. A., Lowe, J. A., and White, K. D.: Sea level change and Coastal Climate Services: The way forward, Journal of Marine Science and Engineering, 5, 49, https://doi.org/10.3390/jmse5040049, 2017.
Le Cozannet, G., Oliveros, C., Brivois, O., Giremus, A., Garcin, M., and Lavigne, F.: Detecting changes in European shoreline evolution trends using Markov chains and the Eurosion database, Frontiers in Marine Science, 7, 326, https://doi.org/10.3389/fmars.2020.00326, 2020.
Le Cozannet, G., Nicholls, R. J., Durand, G., Slangen, A. B. A., Lincke, D., and Chapuis, A.: Adaptation to multi-meter sea-level rise should start now, Environ. Res. Lett., 18, 091001, https://doi.org/10.1088/1748-9326/acef3f, 2023.
Le Cozannet, G., Sayers, P., Nicholls, R. J., Hinkel, J., Losada, I. J., Melet, A., Luijendijk, A., Koks, E., Lincke, D., Loukogeorgaki, E., Sannino, G., Vafeidis, A. T., Castañer, C. M., Kras, E., Menendez, M., Toimil, A., Völz, V., Thiéblemont, R., Bascoul, V., Bonatz, H., and Penning-Rowsell, E.: Coastal zones are under pressure from climate change: Transformational adaptation is needed, Zenodo, https://doi.org/10.5281/zenodo.15176253, 2025.
Lincke, D.: European coastline/floodplain segmentation for CoCliCo project, Zenodo [data set], https://doi.org/10.5281/zenodo.19233592, 2026.
Lincke, D. and Hinkel, J.: Report and final GIS layer of flood risk management units, CoCliCo project deliverable 6.2, https://coclicoservices.eu/wp-content/uploads/2021/11/WP6_D6.2.Report-and-final-GIS-layer-of-flood-risk-management-units.pdf (last access: 25 March 2026), 2023.
Linnér, H. and Messing, I.: Agricultural land needs protection, Acta Agr. Scand. B-S. P., 62, 706–710, https://doi.org/10.1080/09064710.2012.697574, 2012.
Luijendijk, A., Hagenaars, G., Ranasinghe, R., Baart, F., Donchyts, G., and Aarninkhof, S.: The state of the world's beaches, Scientific Reports, 8, 6641, https://doi.org/10.1038/s41598-018-24630-6, 2018.
Marine Scotland: Coastal erosion and flood risk management, https://marine.gov.scot/sma/assessment/coastal-erosion-and-flood-risk-management (last access: 25 March 2026), 2020.
Masselink, G., Russell, P., Rennie, A., Brooks, S., and Spencer, T.: Impacts of climate change on coastal geomorphology and coastal erosion relevant to the coastal and marine environment around the UK, MCCIP Science Review, 158–189, https://doi.org/10.14465/2020.arc08.cgm, 2020.
McInnes, K. L., Nicholls, R. J., van de Wal, R., Behar, D., Haigh, I. D., Hamlington, B. D., Hinkel, J., Hirschfeld, D., Horton, B. P., Melet, A., Palmer, M. D., Robel, A. A., Stammer, D., and Sullivan, A.: Perspective on regional sea-level change and coastal impacts, Cambridge Prisms: Coastal Futures, 2, e16, https://doi.org/10.1017/cft.2024.15, 2024.
Mentaschi, L., Vousdoukas, M. I., Pekel, J.-F., Voukouvalas, E., and Feyen, L.: Global long-term observations of coastal erosion and accretion, Scientific Reports, 8, 12876, https://doi.org/10.1038/s41598-018-30904-w, 2018.
Morales, J. A.: Coastal elements: Types of coasts and criteria in coastal classifications, in: Coastal Geology, edited by: Morales, J. A., Springer Nature Switzerland, Cham, 31–44, https://doi.org/10.1007/978-3-030-96121-3_4, 2022.
Oppenheimer, M., Glavovic, B. C., Hinkel, J., van de Wal, R., Magnan, A. K., Abd-Elgawad, A., Cai, R., Cifuentes-Jara, M., DeConto, R. M., Ghosh, T., Hay, J., Isla, F., Marzeion, B., Meyssignac, B., and Sebesvari, Z.: Chapter 4: Sea level rise and implications for low-lying islands, coasts and communities, in: Special Report on the Ocean and Cryosphere in a Changing Climate, edited by: Pörtner, H.-O., Roberts, D. C., Masson-Delmotte, V., Zhai, P., Tignor, M., Poloczanska, E., Mintenbeck, K., Alegría, A., Nicolai, M., Okem, A., Petzold, J., Rama, B., and Weyer, N. M., IPCC, 321–445, https://doi.org/10.1017/9781009157964.006, 2019.
Pang, T., Wang, X., Nawaz, R. A., Keefe, G., and Adekanmbi, T.: Coastal erosion and climate change: A review on coastal-change process and modeling, Ambio, 52, 2034–2052, https://doi.org/10.1007/s13280-023-01901-9, 2023.
Pedreros, R., Garcin, M., Krien, Y., Monfort Climent, D., Mujica, J., and Francois, B.: Tempête Xynthia : compte rendu de mission préliminaire, BGRM, Rapport BRGM/RP-58261-FR, 53 pp., https://infoterre.brgm.fr/rapports/RP-58261-FR.pdf (last access: 25 March 2026), 2010.
Pollard, J., Spencer, T., and Brooks, S.: The interactive relationship between coastal erosion and flood risk, Prog. Phys. Geog., 43, 574–585, https://doi.org/10.1177/0309133318794498, 2019.
Pollard, J. A.: Climate change and coastal policy: the need to address erosion-flooding interactions for effective coastal risk management, Geography, 104, 60–70, 2019.
Pontee, N.: Defining coastal squeeze: A discussion, Ocean Coast. Manage., 84, 204–207, https://doi.org/10.1016/j.ocecoaman.2013.07.010, 2013.
Pranzini, E. and Williams, A. (Eds.): Coastal erosion and protection in Europe, 1st edn., Routledge, https://doi.org/10.4324/9780203128558, 2013.
Pranzini, E., Wetzel, L., and Williams, A. T.: Aspects of coastal erosion and protection in Europe, J. Coast. Conserv., 19, 445–459, https://doi.org/10.1007/s11852-015-0399-3, 2015.
Quelennec, R. E., De Moor, G., Dillingh, D., Lewis, A. W., Marques, M. A., May, V., Møller, J. T., Oliveros, C., Soares de Carvalho, G., and Zamani, A.: Corine Coastal Erosion: Atlas of the geomorphology and evolutionary trends of the European coasts of the European Community, Office for Official Publications of the EC, Luxembourg, GD Luxembourg, http://hdl.handle.net/1854/LU-113409 (last access: 25 March 2026), 1998
Schuerch, M., Spencer, T., Temmerman, S., Kirwan, M. L., Wolff, C., Lincke, D., McOwen, C. J., Pickering, M. D., Reef, R., Vafeidis, A. T., Hinkel, J., Nicholls, R. J., and Brown, S.: Future response of global coastal wetlands to sea-level rise, Nature, 561, 231–234, https://doi.org/10.1038/s41586-018-0476-5, 2018.
Scott, C. R., Harris, E., and Townend, I. H.: Lessons in applying adaptive management on a dynamic coastline: a case study at the inlet to Pagham Harbour, UK, Anthropocene Coasts, 3, 86–115, https://doi.org/10.1139/anc-2019-0002, 2020.
Stéphan, P., Suanez, S., Guérin, T., Rivier, A., Leballeur, L., Waeles, B., Ammann, J., and Houron, J.: Breaching of the Sillon de Talbert gravel spit (North Brittany, France) and coastal flooding risk assessment, Geomorphology, 461, 109302, https://doi.org/10.1016/j.geomorph.2024.109302, 2024.
Stive, M. J. F., Aarninkhof, S. G. J., Hamm, L., Hanson, H., Larson, M., Wijnberg, K. M., Nicholls, R. J., and Capobianco, M.: Variability of shore and shoreline evolution, Coast. Eng., 47, 211–235, https://doi.org/10.1016/S0378-3839(02)00126-6, 2002.
Toimil, A., Álvarez-Cuesta, M., and Losada, I. J.: Neglecting the effect of long- and short-term erosion can lead to spurious coastal flood risk projections and maladaptation, Coast. Eng., 179, 104248, https://doi.org/10.1016/j.coastaleng.2022.104248, 2023.
van de Wal, R., Melet, A., Bellafiore, D., Camus, P., Ferrarin, C., Oude Essink, G., Haigh, I. D., Lionello, P., Luijendijk, A., Toimil, A., Staneva, J., and Vousdoukas, M.: Sea Level Rise in Europe: Impacts and consequences, in: Sea Level Rise in Europe: 1st Assessment Report of the Knowledge Hub on Sea Level Rise (SLRE1), edited by: van den Hurk, B., Pinardi, N., Kiefer, T., Larkin, K., Manderscheid, P., and Richter, K., Copernicus Publications, State Planet, 3-slre1, 5, https://doi.org/10.5194/sp-3-slre1-5-2024, 2023.
van Rijn, L. C.: Coastal erosion and control, Ocean Coast. Manage., 54, 867–887, https://doi.org/10.1016/j.ocecoaman.2011.05.004, 2011.
Vos, K., Splinter, K. D., Palomar-Vázquez, J., Pardo-Pascual, J. E., Almonacid-Caballer, J., Cabezas-Rabadán, C., Kras, E. C., Luijendijk, A. P., Calkoen, F., Almeida, L. P., Pais, D., Klein, A. H. F., Mao, Y., Harris, D., Castelle, B., Buscombe, D., and Vitousek, S.: Benchmarking satellite-derived shoreline mapping algorithms, Communications Earth & Environment, 4, 345, https://doi.org/10.1038/s43247-023-01001-2, 2023.
Vousdoukas, M. I., Ranasinghe, R., Mentaschi, L., Plomaritis, T. A., Athanasiou, P., Luijendijk, A., and Feyen, L.: Sandy coastlines under threat of erosion, Nat. Clim. Change, 10, 260–263, https://doi.org/10.1038/s41558-020-0697-0, 2020.
Wen, L., Glasby, T. M., and Hughes, M. G.: The race for space: Modelling the landward migration of coastal wetlands under sea level rise at regional scale, Sci. Total Environ., 859, 160483, https://doi.org/10.1016/j.scitotenv.2022.160483, 2023.
Wolff, C., Vafeidis, A. T., Muis, S., Lincke, D., Satta, A., Lionello, P., Jimenez, J. A., Conte, D., and Hinkel, J.: A Mediterranean coastal database for assessing the impacts of sea-level rise and associated hazards, Scientific Data, 5, 180044, https://doi.org/10.1038/sdata.2018.44, 2018.
Woodroffe, C. D.: Coasts: Form, Process and Evolution, Cambridge University Press, Cambridge, https://doi.org/10.1017/CBO9781316036518, 2002.
Zuo, J., Zhang, L., Chen, B., Zhang, B., Ruan, L., Hu, Y., Mamun, M. M. A. A., and Raza, S. A.: GCSD: A comprehensive coastal indicators database for global coastal sustainable development assessment, Scientific Data, 12, 1562, https://doi.org/10.1038/s41597-025-05668-4, 2025.
Short summary
The CoasTER geographic database provides erosion relevant characteristics (sediment type, land use, geomorphology, historical shoreline movement trend) for Europe’s coastal floodplains. Building on earlier erosion research, it also includes a coastal geomorphological typology incorporating hard engineering and other infrastructure. Analysis demonstrates that episodic/long-term erosion and coastal flooding interactions are widespread and an important aspect within any management strategy.
The CoasTER geographic database provides erosion relevant characteristics (sediment type, land...
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