Datasets to paper "Changing Sea Level, Changing Shorelines: Integration of Remote Sensing Observations at the Terschelling Barrier Island"

DOI:10.4121/fd84a556-e403-48ba-b302-a759b4603fa4.v3
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/fd84a556-e403-48ba-b302-a759b4603fa4

Datacite citation style

Aschenneller, Benedikt; Rietbroek, Roelof; van der Wal, Daphne (2025): Datasets to paper "Changing Sea Level, Changing Shorelines: Integration of Remote Sensing Observations at the Terschelling Barrier Island". Version 3. 4TU.ResearchData. dataset. https://doi.org/10.4121/fd84a556-e403-48ba-b302-a759b4603fa4.v3
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Version 3 - 2025-05-13 (latest)
Version 2 - 2024-09-13 Version 1 - 2024-09-13
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Usage statistics

186
views
1083
downloads

Geolocation

Terschelling
lat (N): 53.4
lon (E): 5.3
view on openstreetmap

Time coverage

1992-2021

Licence

CC BY 4.0

Interoperability

This dataset contains all input and output datasets required to reproduce the figures of the accompanying paper. This research combines and compares different types of coastal remote sensing datasets in order to assess the potential of remote sensing techniques to detect a geometrical relationship between sea level rise and shoreline retreat for a case study at the Terschelling barrier island at the Northern Dutch coast. The input data comprises different types of coastal observations from secondary sources. These are shoreline positions, sea level from altimetry and from tide gauges, vertical land motion from GNSS, land elevation data (JARKUS dataset) and auxiliary datasets (e.g. mean sea level pressure, land ocean mask). The output comprises sea level (from altimetry and tide gauges) corrected for atmospheric pressure and tides, as well as the individual corrections, timeseries of cross-shore changes computed with different parameter settings, cross-shore timeseries computed as the intersection between sea level and land elevation from JARKUS and beach slopes.


Secondary sources comprise

Altimetry data downloaded from the OpenADB database (https://openadb.dgfi.tum.de/en/)

Shorelines extracted from Landsat images with CASSIE (https://cassiengine.org/)

Tide gauge observations from PSMSL (https://psmsl.org)

Rijkswaterstaat waterinfo (https://waterinfo.rws.nl/)

GNSS processed timeseries from SONEL (https://www.sonel.org/)

Mean sea level pressure from ERA5 (https://cds.climate.copernicus.eu/cdsapp#!/dataset/reanalysis-era5-single-levels-monthly-means?tab=overview)

History

  • 2024-09-13 first online
  • 2025-05-13 published, posted

Publisher

4TU.ResearchData

Format

compressed shape files (.zip), compressed NetCDF files (altimetry data sorted in folders according to cycles) (.zip), NetCDF (.nc), textfiles (.txt), textfiles (.neu), comma-separated values (.csv), geospatial JSON (.geojson), pickle (.pkl)

Organizations

University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)

DATA

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