Satellite-Derived Global Waterline Dataset with Environmental Forcings (1993-2019)

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Satellite-Derived Global Waterline Dataset with Environmental Forcings (1993-2019)
Almar, Rafael; Boucharel, Julien; Abessolo Ondoa, Gregoire; Graffin, Marcan; Thoumyre, Grégoire; Papa, Fabrice; Bergsma, Erwin; Anthony, Edward; Melet, Angelique; Regard, Vincent, 2025, "Satellite-Derived Global Waterline Dataset with Environmental Forcings (1993-2019)", https://doi.org/10.23708/YEEOOW, DataSuds, V1, UNF:6:06e3JcjZPrcPVDdzhs5BfA== [fileUNF]
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Description
This dataset provides a global, monthly time series of shoreline (waterline) positions derived from optical satellite imagery between 1993 and 2019. It includes cross-shore waterline variations at ~0.27° alongshore resolution worldwide, associated with key environmental drivers at each location.

The waterline data were extracted and quality-controlled from the publicly available Landsat archive. Time series were subsequently sptially and temporally aggregated, over 3° and 3 month, to better resolve regional seasonal and interannual variability in the waterline position.

In addition to waterline position (X), the dataset includes environmental forcing variables known to influence coastal dynamics:
  • Significant wave height (Hs)
  • Peak wave period (Tp)
  • Wave direction (Dir)
  • River discharge (m³/s)
  • Sea level anomaly (SLA), including altimetric regional sea level and storm surge corrections (DAC)

All variables are provided as monthly time series from January 1993 to December 2019 and spatially matched to waterline sampling locations, defined by latitude and longitude coordinates.

Format : NetCDF file (.nc), compatible with common scientific analysis tools (MATLAB, Python, R, etc.).
Temporal Coverage: 1993-01 to 2019-12 (monthly resolution)
Spatial Coverage : Global coastal zones at ~0.27° alongshore resolution, covering multiple climate zones and environment settings.

Metadata : A data dictionary describing the variables is included with this dataset, as a download with the data file.

Use Cases
This dataset supports the analysis of seasonal and interannual waterline position variability and enables investigation of climate-related drivers of coastal change at regional to global scales. It is particularly suited for applications in coastal risk forecasting, Earth system modelling, and climate impact assessment. (2025-05-27)
Subject Earth and Environmental Sciences
Keyword waterline, shoreline, waves, terrestrial river runoff, sea level
Related Publication to be added when the paper will be published
Notes Data Type: Observationnal data.
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GlobalWaterlineDataset.nc
GlobalWaterlineDataset/Network Common Data Form - 131.3 MB
Published Oct 6, 2025
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MD5: 60e0695bb7d6c749ceeca84a915f04a0
NetCDF data file (.nc), compatible with common scientific analysis tools (MATLAB, Python, R, etc.).
Données
data_dictionnary.tab
GlobalWaterlineDataset/Tabular Data - 866 B
Published Oct 6, 2025
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2 Variables, 17 Observations UNF:6:06e3JcjZPrcPVDdzhs5BfA==
Data dictionary describing the variables in the data file
Documentation
Preview "GlobalWaterlineDataset/data_dictionnary.tab"
ReadMe_YEEOOW.txt
GlobalWaterlineDataset/Plain Text - 2.8 KB
Published Oct 6, 2025
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MD5: b866aad17efce1bc7f9acce8bff0e615
Contains citation, description and conditions of use of dataset data
Documentation
Preview "GlobalWaterlineDataset/ReadMe_YEEOOW.txt"
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