Articles | Volume 24, issue 11
https://doi.org/10.5194/nhess-24-4145-2024
© Author(s) 2024. 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-24-4145-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
28 Nov 2024
Research article |
| 28 Nov 2024
| 28 Nov 2024
Changing sea level, changing shorelines: integration of remote-sensing observations at the Terschelling barrier island
Benedikt Aschenneller
CORRESPONDING AUTHOR
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Roelof Rietbroek
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Daphne van der Wal
Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 217, 7500 AE Enschede, the Netherlands
Department of Estuarine and Delta systems, Royal Netherlands Institute for Sea Research (NIOZ), P.O. Box 140, 4400 AC Yerseke, the Netherlands
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Amanda de Liz Arcari, Juliana Tavora, Daphne van der Wal, and Mhd. Suhyb Salama
EGUsphere, https://doi.org/10.5194/egusphere-2025-4343, https://doi.org/10.5194/egusphere-2025-4343, 2025
This preprint is open for discussion and under review for Biogeosciences (BG).
Short summary
Short summary
We developed a new way to evaluate how well remote sensing-based methods estimate water quality. Instead of relying on many separate indicators, which can give conflicting results, we created a single score that combines them into one objective measure. This approach makes it easier to compare methods across different conditions and helps researchers and managers choose the best tools for understanding and monitoring our aquatic environments.
Cited articles
Adebisi, N., Balogun, A.-L., Mahdianpari, M., and Min, T. H.: Assessing the Impacts of Rising Sea Level on Coastal Morpho-Dynamics with Automated High-Frequency Shoreline Mapping Using Multi-Sensor Optical Satellites, Remote Sens.-Basel, 13, 3587, https://doi.org/10.3390/rs13183587, 2021. a
Almar, R., Boucharel, J., Graffin, M., Abessolo, G. O., Thoumyre, G., Papa, F., Ranasinghe, R., Montano, J., Bergsma, E. W. J., Baba, M. W., and Jin, F.-F.: Influence of El Niño on the Variability of Global Shoreline Position, Nat. Commun., 14, 3133, https://doi.org/10.1038/s41467-023-38742-9, 2023. a
Almeida, L. P., Almar, R., Bergsma, E. W. J., Berthier, E., Baptista, P., Garel, E., Dada, O. A., and Alves, B.: Deriving High Spatial-Resolution Coastal Topography From Sub-meter Satellite Stereo Imagery, Remote Sens.-Basel, 11, 590, https://doi.org/10.3390/rs11050590, 2019. a
Almeida, L. P., Efraim de Oliveira, I., Lyra, R., Scaranto Dazzi, R. L., Martins, V. G., and Henrique da Fontoura Klein, A.: Coastal Analyst System from Space Imagery Engine (CASSIE): Shoreline Management Module, Environ. Modell. Softw., 140, 105033, https://doi.org/10.1016/j.envsoft.2021.105033, 2021. a, b, c, d, e, f, g, h
Almonacid-Caballer, J., Sánchez-García, E., Pardo-Pascual, J. E., Balaguer-Beser, A. A., and Palomar-Vázquez, J.: Evaluation of Annual Mean Shoreline Position Deduced from Landsat Imagery as a Mid-Term Coastal Evolution Indicator, Mar. Geol., 372, 79–88, https://doi.org/10.1016/j.margeo.2015.12.015, 2016. a
Andersen, O. B., Nielsen, K., Knudsen, P., Hughes, C. W., Bingham, R., Fenoglio-Marc, L., Gravelle, M., Kern, M., and Polo, S. P.: Improving the Coastal Mean Dynamic Topography by Geodetic Combination of Tide Gauge and Satellite Altimetry, Mar. Geod., 41, 517–545, https://doi.org/10.1080/01490419.2018.1530320, 2018. a
Aschenneller, B., Rietbroek, R., and van der Wal, D.: Code to paper “Changing Sea Level, Changing Shorelines: Integration of Remote Sensing Observations at the Terschelling Barrier Island”, eTU.ResearchData [code], https://doi.org/10.4121/6f8f8535-5b4f-4abb-b0f6-89a6a80c13bf.v1, 2024a. a
Aschenneller, B., Rietbroek, R., and van der Wal, D.: Datasets to paper “Changing Sea Level, Changing Shorelines: Integration of Remote Sensing Observations at the Terschelling Barrier Island”, eTU.ResearchData [data set], https://doi.org/10.4121/fd84a556-e403-48ba-b302-a759b4603fa4.v2, 2024b. a
Athanasiou, P., van Dongeren, A., Giardino, A., Vousdoukas, M., Gaytan-Aguilar, S., and Ranasinghe, R.: Global distribution of nearshore slopes with implications for coastal retreat, Earth Syst. Sci. Data, 11, 1515–1529, https://doi.org/10.5194/essd-11-1515-2019, 2019. a
Atkinson, A. L., Baldock, T. E., Birrien, F., Callaghan, D. P., Nielsen, P., Beuzen, T., Turner, I. L., Blenkinsopp, C. E., and Ranasinghe, R.: Laboratory Investigation of the Bruun Rule and Beach Response to Sea Level Rise, Coast. Eng., 136, 183–202, https://doi.org/10.1016/j.coastaleng.2018.03.003, 2018. a
Bergsma, E. W. J., Almar, R., and Maisongrande, P.: Radon-Augmented Sentinel-2 Satellite Imagery to Derive Wave-Patterns and Regional Bathymetry, Remote Sens.-Basel, 11, 1918, https://doi.org/10.3390/rs11161918, 2019. a
Birol, F., Fuller, N., Lyard, F., Cancet, M., Niño, F., Delebecque, C., Fleury, S., Toublanc, F., Melet, A., Saraceno, M., and Léger, F.: Coastal Applications from Nadir Altimetry: Example of the X-TRACK Regional Products, Adv. Space Res., 59, 936–953, https://doi.org/10.1016/j.asr.2016.11.005, 2017. a, b
Birol, F., Léger, F., Passaro, M., Cazenave, A., Niño, F., Calafat, F. M., Shaw, A., Legeais, J.-F., Gouzenes, Y., Schwatke, C., and Benveniste, J.: The X-TRACK/ALES Multi-Mission Processing System: New Advances in Altimetry towards the Coast, Adv. Space Res., 67, 2398–2415, https://doi.org/10.1016/j.asr.2021.01.049, 2021. a, b
Bishop-Taylor, R., Sagar, S., Lymburner, L., Alam, I., and Sixsmith, J.: Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra, Remote Sens.-Basel, 11, 2984, https://doi.org/10.3390/rs11242984, 2019a. a
Bishop-Taylor, R., Sagar, S., Lymburner, L., and Beaman, R. J.: Between the Tides: Modelling the Elevation of Australia's Exposed Intertidal Zone at Continental Scale, Estuar. Coast. Shelf S., 223, 115–128, https://doi.org/10.1016/j.ecss.2019.03.006, 2019b. a, b
Blewitt, G., Kreemer, C., Hammond, W. C., and Gazeaux, J.: MIDAS Robust Trend Estimator for Accurate GPS Station Velocities without Step Detection, J. Geophys. Res.-Sol. Ea., 121, 2054–2068, https://doi.org/10.1002/2015JB012552, 2016. a
Blewitt, G., Hammond, W., and Kreemer, C.: Harnessing the GPS Data Explosion for Interdisciplinary Science, Eos, 99, https://doi.org/10.1029/2018EO104623, 2018. a, b
Boak, E. H. and Turner, I. L.: Shoreline Definition and Detection: A Review, J. Coastal Res., 2005, 688–703, https://doi.org/10.2112/03-0071.1, 2005. a
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. a
Bruun, P.: Sea-Level Rise as a Cause of Shore Erosion, Journal of the Waterways and Harbors Division, 88, 117–130, https://doi.org/10.1061/JWHEAU.0000252, 1962. a
Carrère, L. and Lyard, F.: Modeling the Barotropic Response of the Global Ocean to Atmospheric Wind and Pressure Forcing – Comparisons with Observations, Geophys. Res. Lett., 30, 1275, https://doi.org/10.1029/2002GL016473, 2003. a, b
Cazenave, A., Gouzenes, Y., Birol, F., Leger, F., Passaro, M., Calafat, F. M., Shaw, A., Nino, F., Legeais, J. F., Oelsmann, J., Restano, M., and Benveniste, J.: Sea Level along the World's Coastlines Can Be Measured by a Network of Virtual Altimetry Stations, Communications Earth & Environment, 3, 1–9, https://doi.org/10.1038/s43247-022-00448-z, 2022. a
Chen, C., Zhang, C., Tian, B., Wu, W., and Zhou, Y.: Tide2Topo: A New Method for Mapping Intertidal Topography Accurately in Complex Estuaries and Bays with Time-Series Sentinel-2 Images, ISPRS J. Photogramm., 200, 55–72, https://doi.org/10.1016/j.isprsjprs.2023.05.004, 2023. a
Chen, W.-W. and Chang, H.-K.: Estimation of Shoreline Position and Change from Satellite Images Considering Tidal Variation, Estuar. Coast. Shelf S., 84, 54–60, https://doi.org/10.1016/j.ecss.2009.06.002, 2009. a
Cheng, Y., Andersen, O. B., and Knudsen, P.: Integrating Non-Tidal Sea Level Data from Altimetry and Tide Gauges for Coastal Sea Level Prediction, Adv. Space Res., 50, 1099–1106, https://doi.org/10.1016/j.asr.2011.11.016, 2012. a
Choi, C. and Kim, D.-J.: Optimum Baseline of a Single-Pass In-SAR System to Generate the Best DEM in Tidal Flats, IEEE J. Sel. Top. Appl., 11, 919–929, https://doi.org/10.1109/JSTARS.2018.2795107, 2018. a
Cipollini, P., Calafat, F. M., Jevrejeva, S., Melet, A., and Prandi, P.: Monitoring Sea Level in the Coastal Zone with Satellite Altimetry and Tide Gauges, Surv. Geophys., 38, 33–57, https://doi.org/10.1007/s10712-016-9392-0, 2017. a, b, c
CNES: aviso-fes, GitHub, https://github.com/CNES/aviso-fes, last access: 15 July 2022. a
Cooper, J. A. G. and Pilkey, O. H.: Sea-Level Rise and Shoreline Retreat: Time to Abandon the Bruun Rule, Global Planet. Change, 43, 157–171, https://doi.org/10.1016/j.gloplacha.2004.07.001, 2004. a
Copernicus Climate Change Service, Climate Data Store: Sea Level Daily Gridded Data from Satellite Observations for the Global Ocean from 1993 to Present, Climate Data Store [data set], https://doi.org/10.24381/CDS.4C328C78, 2018. a
Dai, C., Howat, I. M., Larour, E., and Husby, E.: Coastline Extraction from Repeat High Resolution Satellite Imagery, Remote Sens. Environ., 229, 260–270, https://doi.org/10.1016/j.rse.2019.04.010, 2019. a
D'Anna, M., Idier, D., Castelle, B., Vitousek, S., and Le Cozannet, G.: Reinterpreting the Bruun Rule in the Context of Equilibrium Shoreline Models, Journal of Marine Science and Engineering, 9, 974, https://doi.org/10.3390/jmse9090974, 2021. a, b
De Biasio, F., Baldin, G., and Vignudelli, S.: Revisiting Vertical Land Motion and Sea Level Trends in the Northeastern Adriatic Sea Using Satellite Altimetry and Tide Gauge Data, Journal of Marine Science and Engineering, 8, 949, https://doi.org/10.3390/jmse8110949, 2020. a
de Graaf, H., Oude Elberink, S., Bollweg, A., Brügelmann, R., and Richardson, L.: Inwinning “Droge” JARKUS Profielen Langs Nederlandse Kust, Rapportnummer: AGI-GAM-2003-40, https://publicwiki.deltares.nl/download/attachments/308413064/AGI-GAM-2003-40.pdf?version=1&modificationDate=1723019925314&api=v2 (last access: 21 March 2023), 2003. a
Dettmering, D., Müller, F. L., Oelsmann, J., Passaro, M., Schwatke, C., Restano, M., Benveniste, J., and Seitz, F.: North SEAL: a new dataset of sea level changes in the North Sea from satellite altimetry, Earth Syst. Sci. Data, 13, 3733–3753, https://doi.org/10.5194/essd-13-3733-2021, 2021. a
Do, A. T., de Vries, S., and Stive, M. J.: The Estimation and Evaluation of Shoreline Locations, Shoreline-Change Rates, and Coastal Volume Changes Derived from Landsat Images, J. Coastal Res., 35, 56, https://doi.org/10.2112/JCOASTRES-D-18-00021.1, 2019. a, b, c
Eleveld, M. A., van der Wal, D., and van Kessel, T.: Estuarine Suspended Particulate Matter Concentrations from Sun-Synchronous Satellite Remote Sensing: Tidal and Meteorological Effects and Biases, Remote Sens. Environ., 143, 204–215, https://doi.org/10.1016/j.rse.2013.12.019, 2014. a
Fokker, P. A., van Leijen, F. J., Orlic, B., van der Marel, H., and Hanssen, R. F.: Subsidence in the Dutch Wadden Sea, Neth. J. Geosci., 97, 129–181, https://doi.org/10.1017/njg.2018.9, 2018. a
Frazier, P. S. and Page, K. J.: Water Body Detection and Delineation with Landsat TM Data, Photogramm. Eng. Rem. S., 66, 1461–1467, 2000. a
Gao, J.: Bathymetric Mapping by Means of Remote Sensing: Methods, Accuracy and Limitations, Prog. Phys. Geog., 33, 103–116, https://doi.org/10.1177/0309133309105657, 2009. a
Gazeaux, J., Williams, S., King, M., Bos, M., Dach, R., Deo, M., Moore, A. W., Ostini, L., Petrie, E., Roggero, M., Teferle, F. N., Olivares, G., and Webb, F. H.: Detecting Offsets in GPS Time Series: First Results from the Detection of Offsets in GPS Experiment, J. Geophys. Res.-Sol. Ea., 118, 2397–2407, https://doi.org/10.1002/jgrb.50152, 2013. a
Gravelle, M., Wöppelmann, G., Gobron, K., Altamimi, Z., Guichard, M., Herring, T., and Rebischung, P.: The ULR-repro3 GPS data reanalysis and its estimates of vertical land motion at tide gauges for sea level science, Earth Syst. Sci. Data, 15, 497–509, https://doi.org/10.5194/essd-15-497-2023, 2023. a, b
Hart-Davis, M. G., Piccioni, G., Dettmering, D., Schwatke, C., Passaro, M., and Seitz, F.: EOT20: a global ocean tide model from multi-mission satellite altimetry, Earth Syst. Sci. Data, 13, 3869–3884, https://doi.org/10.5194/essd-13-3869-2021, 2021a. a, b
Hart-Davis, M., Piccioni, G., Dettmering, D., Schwatke, C., Passaro, M., and Seitz, F.: EOT20 – A global Empirical Ocean Tide model from multi-mission satellite altimetry, SEANOE, https://doi.org/10.17882/79489, 2021b. a
Hart-Davis, M. G., Laan, S., Schwatke, C., Backeberg, B., Dettmering, D., Zijl, F., Verlaan, M., Passaro, M., and Seitz, F.: Altimetry-Derived Tide Model for Improved Tide and Water Level Forecasting along the European Continental Shelf, Ocean Dynam., 73, 475–491, https://doi.org/10.1007/s10236-023-01560-0, 2023. a
Hermans, T. H. J., Gregory, J. M., Palmer, M. D., Ringer, M. A., Katsman, C. A., and Slangen, A. B. A.: Projecting Global Mean Sea-Level Change Using CMIP6 Models, Geophys. Res. Lett., 48, e2020GL092064, https://doi.org/10.1029/2020GL092064, 2021. a
Hersbach, H., Bell, B., Berrisford, P., Biavati, G., Horányi, A., Muñoz Sabater, J., Nicolas, J., Peubey, C., Radu, R., Rozum, I., Schepers, D., Simmons, A., Soci, C., Dee, D., and Thépaut, J.-N.: ERA5 Monthly Averaged Data on Single Levels from 1959 to Present, Climate Data Store [data set], https://doi.org/10.24381/CDS.F17050D7, 2022. a, b
Hinkel, J., Lincke, D., Vafeidis, A. T., Perrette, M., Nicholls, R. J., Tol, R. S. J., Marzeion, B., Fettweis, X., Ionescu, C., and Levermann, A.: Coastal Flood Damage and Adaptation Costs under 21st Century Sea-Level Rise, P. Natl. Acad. Sci. USA, 111, 3292–3297, https://doi.org/10.1073/pnas.1222469111, 2014. a
Holgate, S. J., Matthews, A., Woodworth, P. L., Rickards, L. J., Tamisiea, M. E., Bradshaw, E., Foden, P. R., Gordon, K. M., Jevrejeva, S., and Pugh, J.: New Data Systems and Products at the Permanent Service for Mean Sea Level, J. Coastal Res., 29, 493–504, 2013 (data available at: https://psmsl.org, last access: 29 April 2023). a, b, c
Hooijer, A. and Vernimmen, R.: Global LiDAR Land Elevation Data Reveal Greatest Sea-Level Rise Vulnerability in the Tropics, Nat. Commun., 12, 3592, https://doi.org/10.1038/s41467-021-23810-9, 2021. a
Huang, C., Chen, Y., Zhang, S., and Wu, J.: Detecting, Extracting, and Monitoring Surface Water From Space Using Optical Sensors: A Review, Rev. Geophys., 56, 333–360, https://doi.org/10.1029/2018RG000598, 2018. a
Jordan, C., Visscher, J., and Schlurmann, T.: Projected Responses of Tidal Dynamics in the North Sea to Sea-Level Rise and Morphological Changes in the Wadden Sea, Frontiers in Marine Science, 8, 685758, https://doi.org/10.3389/fmars.2021.685758, 2021. a
Karegar, M. A., Larson, K. M., Kusche, J., and Dixon, T. H.: Novel Quantification of Shallow Sediment Compaction by GPS Interferometric Reflectometry and Implications for Flood Susceptibility, Geophys. Res. Lett., 47, e2020GL087807, https://doi.org/10.1029/2020GL087807, 2020. a, b
Kleinherenbrink, M., Riva, R., and Frederikse, T.: A comparison of methods to estimate vertical land motion trends from GNSS and altimetry at tide gauge stations, Ocean Sci., 14, 187–204, https://doi.org/10.5194/os-14-187-2018, 2018. a
Laignel, B., Vignudelli, S., Almar, R., Becker, M., Bentamy, A., Benveniste, J., Birol, F., Frappart, F., Idier, D., Salameh, E., Passaro, M., Menende, M., Simard, M., Turki, E. I., and Verpoorter, C.: Observation of the Coastal Areas, Estuaries and Deltas from Space, Surv. Geophys., 44, 1309–1356, https://doi.org/10.1007/s10712-022-09757-6, 2023. a
Larson, M. and Kraus, N. C.: Temporal and Spatial Scales of Beach Profile Change, Duck, North Carolina, Mar. Geol., 117, 75–94, https://doi.org/10.1016/0025-3227(94)90007-8, 1994. a
Le Cozannet, G., Garcin, M., Yates, M., Idier, D., and Meyssignac, B.: Approaches to Evaluate the Recent Impacts of Sea-Level Rise on Shoreline Changes, Earth-Sci. Rev., 138, 47–60, https://doi.org/10.1016/j.earscirev.2014.08.005, 2014. a, b
Liu, H., Sherman, D., and Gu, S.: Automated Extraction of Shorelines from Airborne Light Detection and Ranging Data and Accuracy Assessment Based on Monte Carlo Simulation, J. Coastal Res., 236, 1359–1369, https://doi.org/10.2112/05-0580.1, 2007. a
Luijendijk, A., Hagenaars, G., Ranasinghe, R., Baart, F., Donchyts, G., and Aarninkhof, S.: The State of the World's Beaches, Sci. Rep.-UK, 8, 6641, https://doi.org/10.1038/s41598-018-24630-6, 2018. a
Lyard, F. H., Allain, D. J., Cancet, M., Carrère, L., and Picot, N.: FES2014 global ocean tide atlas: design and performance, Ocean Sci., 17, 615–649, https://doi.org/10.5194/os-17-615-2021, 2021 (data available at: ftp://ftp-access.aviso.altimetry.fr, last access: 28 November 2022). a, b
Mangini, F., Chafik, L., Bonaduce, A., Bertino, L., and Nilsen, J. E. Ø.: Sea-level variability and change along the Norwegian coast between 2003 and 2018 from satellite altimetry, tide gauges, and hydrography, Ocean Sci., 18, 331–359, https://doi.org/10.5194/os-18-331-2022, 2022. a, b
Marsh, S. W., Nicholls, R. J., Kroon, A., and Hoekstra, P.: Assessment of Depth of Closure on a Nourished Beach: Terschelling, The Netherlands, in: Coastal Engineering 1998, American Society of Civil Engineers, Copenhagen, Denmark, 3110–3123, https://doi.org/10.1061/9780784404119.236, 1999. a
Mason, D. C., Davenport, I. J., Robinson, G. J., Flather, R. A., and McCartney, B. S.: Construction of an Inter-tidal Digital Elevation Model by the `Water-Line' Method, Geophys. Res. Lett., 22, 3187–3190, https://doi.org/10.1029/95GL03168, 1995. a
McFeeters, S. K.: The Use of the Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features, Int. J. Remote Sens., 17, 1425–1432, https://doi.org/10.1080/01431169608948714, 1996. a
Minneboo, F. A. J.: Richtlijnen voor de inwinning, bewerking en opslag van gegevens van jaarlijkse kustmetingen, rapport RIKZ-95.022, https://publicwiki.deltares.nl/download/attachments/308413064/jaarlijkse kustmetingen.pdf?version=1&modificationDate=1723019925326&api=v2 (last access: 1 December 2022), 1995. a, b
moflaher: ttide_py, GitHub, https://github.com/moflaher/ttide_py, last access: 11 November 2022. a
Morrow, R., Blurmstein, D., and Dibarboure, G.: Fine-Scale Altimetry and the Future SWOT Mission, in: New Frontiers in Operational Oceanography, 191–226, https://doi.org/10.17125/gov2018.ch08, 2018. a
Morton, R. A., Miller, T., and Moore, L.: Historical Shoreline Changes Along the US Gulf of Mexico: A Summary of Recent Shoreline Comparisons and Analyses, J. Coastal Res., 214, 704–709, https://doi.org/10.2112/04-0230.1, 2005. a
Najar, M. A., Benshila, R., Bennioui, Y. E., Thoumyre, G., Almar, R., Bergsma, E. W. J., Delvit, J.-M., and Wilson, D. G.: Coastal Bathymetry Estimation from Sentinel-2 Satellite Imagery: Comparing Deep Learning and Physics-Based Approaches, Remote Sens.-Basel, 14, 1196, https://doi.org/10.3390/rs14051196, 2022. a
Nicolae Lerma, A., Castelle, B., Marieu, V., Robinet, A., Bulteau, T., Bernon, N., and Mallet, C.: Decadal Beach-Dune Profile Monitoring along a 230-Km High-Energy Sandy Coast: Aquitaine, Southwest France, Appl. Geogr., 139, 102645, https://doi.org/10.1016/j.apgeog.2022.102645, 2022. a
Oelsmann, J., Passaro, M., Dettmering, D., Schwatke, C., Sánchez, L., and Seitz, F.: The zone of influence: matching sea level variability from coastal altimetry and tide gauges for vertical land motion estimation, Ocean Sci., 17, 35–57, https://doi.org/10.5194/os-17-35-2021, 2021. a, b, c
Palomar-Vázquez, J., Pardo-Pascual, J. E., Almonacid-Caballer, J., and Cabezas-Rabadán, C.: Shoreline Analysis and Extraction Tool (SAET): A New Tool for the Automatic Extraction of Satellite-Derived Shorelines with Subpixel Accuracy, Remote Sens.-Basel, 15, 3198, https://doi.org/10.3390/rs15123198, 2023. a
Pardo-Pascual, J. E., Almonacid-Caballer, J., Ruiz, L. A., and Palomar-Vázquez, J.: Automatic Extraction of Shorelines from Landsat TM and ETM+ Multi-Temporal Images with Subpixel Precision, Remote Sens. Environ., 123, 1–11, https://doi.org/10.1016/j.rse.2012.02.024, 2012. a, b
Parker, B. B.: The Difficulties in Measuring a Consistently Defined Shoreline – The Problem of Vertical Referencing, J. Coastal Res., 38, 44–56, 2003. a
Passaro, M.: COSTA v1.0: DGFI-TUM Along Track Sea Level Product for ERS-2 and Envisat (1996-2010) in the Mediterranean Sea and in the North Sea, Links to Data Sets in NetCDF Format, PANGAEA [data set], https://doi.org/10.1594/PANGAEA.871920, 2017. a
Passaro, M., Cipollini, P., Vignudelli, S., Quartly, G. D., and Snaith, H. M.: ALES: A Multi-Mission Adaptive Subwaveform Retracker for Coastal and Open Ocean Altimetry, Remote Sens. Environ., 145, 173–189, https://doi.org/10.1016/j.rse.2014.02.008, 2014. a, b
Passaro, M., Fenoglio-Marc, L., and Cipollini, P.: Validation of Significant Wave Height From Improved Satellite Altimetry in the German Bight, IEEE T. Geosci. Remote, 53, 2146–2156, https://doi.org/10.1109/TGRS.2014.2356331, 2015. a
Pawlowicz, R., Beardsley, B., and Lentz, S.: Classical Tidal Harmonic Analysis Including Error Estimates in MATLAB Using T_TIDE, Comput. Geosci., 28, 929–937, https://doi.org/10.1016/S0098-3004(02)00013-4, 2002. a, b
Pfeffer, J. and Allemand, P.: The Key Role of Vertical Land Motions in Coastal Sea Level Variations: A Global Synthesis of Multisatellite Altimetry, Tide Gauge Data and GPS Measurements, Earth Planet. Sc. Lett., 439, 39–47, https://doi.org/10.1016/j.epsl.2016.01.027, 2016. a
Piccioni, G., Dettmering, D., Passaro, M., Schwatke, C., Bosch, W., and Seitz, F.: Coastal Improvements for Tide Models: The Impact of ALES Retracker, Remote Sens.-Basel, 10, 700, https://doi.org/10.3390/rs10050700, 2018. a
Ponte, R. M.: Low-Frequency Sea Level Variability and the Inverted Barometer Effect, J. Atmos. Ocean. Tech., 23, 619–629, https://doi.org/10.1175/JTECH1864.1, 2006. a
Pronk, M., Hooijer, A., Eilander, D., Haag, A., de Jong, T., Vousdoukas, M., Vernimmen, R., Ledoux, H., and Eleveld, M.: DeltaDTM: A Global Coastal Digital Terrain Model, Scientific Data, 11, 273, https://doi.org/10.1038/s41597-024-03091-9, 2024. a
Quataert, E., Oost, A., Hijma, M., and Elias, E.: Beheerbibliotheek Terschelling, https://publicwiki.avi.deltares.nl/download/attachments/131142282/Beheerbibliotheek_Terschelling.pdf?version=1&modificationDate=1608284585488&api=v2 (last access: 2 Febuary 2022), 2020. a
Ranasinghe, R.: Assessing Climate Change Impacts on Open Sandy Coasts: A Review, Earth-Sci. Rev., 160, 320–332, https://doi.org/10.1016/j.earscirev.2016.07.011, 2016. a
Ridderinkhof, W., Hoekstra, P., van der Vegt, M., and de Swart, H. E.: Cyclic Behavior of Sandy Shoals on the Ebb-Tidal Deltas of the Wadden Sea, Cont. Shelf Res., 115, 14–26, https://doi.org/10.1016/j.csr.2015.12.014, 2016. a
Roberts, J. and Roberts, T. D.: Use of the Butterworth Low-Pass Filter for Oceanographic Data, J. Geophys. Res., 83, 5510, https://doi.org/10.1029/JC083iC11p05510, 1978. a
Robertson, V, W., Whitman, D., Zhang, K., and Leatherman, S. P.: Mapping Shoreline Position Using Airborne Laser Altimetry, J. Coastal Res., 20, 884–892, https://doi.org/10.2112/1551-5036(2004)20[884:MSPUAL]2.0.CO;2, 2004. a
Salameh, E., Frappart, F., Marieu, V., Spodar, A., Parisot, J.-P., Hanquiez, V., Turki, I., and Laignel, B.: Monitoring Sea Level and Topography of Coastal Lagoons Using Satellite Radar Altimetry: The Example of the Arcachon Bay in the Bay of Biscay, Remote Sens.-Basel, 10, 297, https://doi.org/10.3390/rs10020297, 2018. a
Salameh, E., Frappart, F., Almar, R., Baptista, P., Heygster, G., Lubac, B., Raucoules, D., Almeida, L. P., Bergsma, E. W. J., Capo, S., De Michele, M., Idier, D., Li, Z., Marieu, V., Poupardin, A., Silva, P. A., Turki, I., and Laignel, B.: Monitoring Beach Topography and Nearshore Bathymetry Using Spaceborne Remote Sensing: A Review, Remote Sens.-Basel, 11, 2212, https://doi.org/10.3390/rs11192212, 2019. a
Sánchez-García, E., Palomar-Vázquez, J. M., Pardo-Pascual, J. E., Almonacid-Caballer, J., Cabezas-Rabadán, C., and Gómez-Pujol, L.: An Efficient Protocol for Accurate and Massive Shoreline Definition from Mid-Resolution Satellite Imagery, Coast. Eng., 160, 103732, https://doi.org/10.1016/j.coastaleng.2020.103732, 2020. a
Santamaría-Gómez, A., Gravelle, M., Collilieux, X., Guichard, M., Míguez, B. M., Tiphaneau, P., and Wöppelmann, G.: Mitigating the Effects of Vertical Land Motion in Tide Gauge Records Using a State-of-the-Art GPS Velocity Field, Global Planet. Change, 98–99, 6–17, https://doi.org/10.1016/j.gloplacha.2012.07.007, 2012. a
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. a
Shirzaei, M., Freymueller, J., Törnqvist, T. E., Galloway, D. L., Dura, T., and Minderhoud, P. S. J.: Measuring, Modelling and Projecting Coastal Land Subsidence, Nature Reviews Earth & Environment, 2, 40–58, https://doi.org/10.1038/s43017-020-00115-x, 2021. a, b
Simon, K. M., Riva, R. E. M., Kleinherenbrink, M., and Frederikse, T.: The glacial isostatic adjustment signal at present day in northern Europe and the British Isles estimated from geodetic observations and geophysical models, Solid Earth, 9, 777–795, https://doi.org/10.5194/se-9-777-2018, 2018. a
Stockdon, H. F., Holman, R. A., Howd, P. A., and Sallenger, A. H.: Empirical Parameterization of Setup, Swash, and Runup, Coast. Eng., 53, 573–588, https://doi.org/10.1016/j.coastaleng.2005.12.005, 2006. a
Stumpf, R. P., Holderied, K., and Sinclair, M.: Determination of Water Depth with High-Resolution Satellite Imagery over Variable Bottom Types, Limnol. Oceanogr., 48, 547–556, https://doi.org/10.4319/lo.2003.48.1_part_2.0547, 2003. a
Toimil, A., Camus, P., Losada, I. J., Le Cozannet, G., Nicholls, R. J., Idier, D., and Maspataud, A.: Climate Change-Driven Coastal Erosion Modelling in Temperate Sandy Beaches: Methods and Uncertainty Treatment, Earth-Sci. Rev., 202, 103110, https://doi.org/10.1016/j.earscirev.2020.103110, 2020. a
Turner, I. L., Harley, M. D., Short, A. D., Simmons, J. A., Bracs, M. A., Phillips, M. S., and Splinter, K. D.: A Multi-Decade Dataset of Monthly Beach Profile Surveys and Inshore Wave Forcing at Narrabeen, Australia, Scientific Data, 3, 160024, https://doi.org/10.1038/sdata.2016.24, 2016. a
Vermeersen, B. L., Slangen, A. B., Gerkema, T., Baart, F., Cohen, K. M., Dangendorf, S., Duran-Matute, M., Frederikse, T., Grinsted, A., Hijma, M. P., Jevrejeva, S., Kiden, P., Kleinherenbrink, M., Meijles, E. W., Palmer, M. D., Rietbroek, R., Riva, R. E., Schulz, E., Slobbe, D. C., Simpson, M. J., Sterlini, P., Stocchi, P., van de Wal, R. S., and van der Wegen, M.: Sea-Level Change in the Dutch Wadden Sea, Neth. J. Geosci., 97, 79–127, https://doi.org/10.1017/njg.2018.7, 2018. a, b
Vignudelli, S., Kostianoy, A. G., Cipollini, P., and Benveniste, J. (Eds.): Coastal Altimetry, Springer Berlin Heidelberg, Berlin, Heidelberg, https://doi.org/10.1007/978-3-642-12796-0, 2011. a
Vignudelli, S., Birol, F., Benveniste, J., Fu, L.-L., Picot, N., Raynal, M., and Roinard, H.: Satellite Altimetry Measurements of Sea Level in the Coastal Zone, Surv. Geophys., 40, 1319–1349, https://doi.org/10.1007/s10712-019-09569-1, 2019. a
Vos, K., Harley, M. D., Splinter, K. D., Simmons, J. A., and Turner, I. L.: Sub-Annual to Multi-Decadal Shoreline Variability from Publicly Available Satellite Imagery, Coast. Eng., 150, 160–174, https://doi.org/10.1016/j.coastaleng.2019.04.004, 2019a. a
Vos, K., Splinter, K. D., Harley, M. D., Simmons, J. A., and Turner, I. L.: CoastSat: A Google Earth Engine-enabled Python Toolkit to Extract Shorelines from Publicly Available Satellite Imagery, Environ. Modell. Softwa., 122, 104528, https://doi.org/10.1016/j.envsoft.2019.104528, 2019b. a, b, c, d, e, f
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, 1–17, https://doi.org/10.1038/s43247-023-01001-2, 2023. a
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. a
Vousdoukas, M. I., Athanasiou, P., Giardino, A., Mentaschi, L., Stocchino, A., Kopp, R. E., Menéndez, P., Beck, M. W., Ranasinghe, R., and Feyen, L.: Small Island Developing States under Threat by Rising Seas Even in a 1.5 °C Warming World, Nat. Sustain., 1–13, https://doi.org/10.1038/s41893-023-01230-5, 2023. a
Wang, Z. B., Hoekstra, P., Burchard, H., Ridderinkhof, H., De Swart, H. E., and Stive, M. J. F.: Morphodynamics of the Wadden Sea and Its Barrier Island System, Ocean Coast. Manage., 68, 39–57, https://doi.org/10.1016/j.ocecoaman.2011.12.022, 2012. a, b
Wiegmann, N., Perluka, R., and Boogaard, K.: Onderzoek naar efficiency verbetering kustlodingen. Rapportnummer: AGI/110105/GAM010, https://publicwiki.deltares.nl/download/attachments/308413064/efficiency verbetering kustlodingen.pdf?version=1&modificationDate=1723019925319&api=v2 (last access: 21 March 2023), 2002. a
Wöppelmann, G. and Marcos, M.: Vertical Land Motion as a Key to Understanding Sea Level Change and Variability, Rev. Geophys., 54, 64–92, https://doi.org/10.1002/2015RG000502, 2016. a, b
Xu, H.: Modification of Normalised Difference Water Index (NDWI) to Enhance Open Water Features in Remotely Sensed Imagery, Int. J. Remote Sens., 27, 3025–3033, https://doi.org/10.1080/01431160600589179, 2006. a
Yousef, A. H., Iftekharuddin, K. M., and Karim, M. A.: Shoreline Extraction from Light Detection and Ranging Digital Elevation Model Data and Aerial Images, Opt. Eng., 53, 011006, https://doi.org/10.1117/1.OE.53.1.011006, 2013. a
Short summary
Shorelines retreat or advance in response to sea level changes, subsidence or uplift of the ground, and morphological processes (sedimentation and erosion). We show that the geometrical influence of each of these drivers on shoreline movements can be quantified by combining different remote sensing observations, including radar altimetry, lidar and optical satellite images. The focus here is to illustrate the uncertainties of these observations by comparing datasets that cover similar processes.
Shorelines retreat or advance in response to sea level changes, subsidence or uplift of the...
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