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Data · dataset · 2025

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

Listed in DataSuds

This dataset provides a global, monthly time series of shoreline (waterline) positions derived from optical satellite imagery between 1993 and 2019.

Description

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.

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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.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Satellite remote sensing 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
DataSudsdoi:10.23708/YEEOOW11 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:field:510301mapping · dataverse ird frvocabulary-mapper@1.0.0keywords['waves']
concepts[field].dataverse_subject:earth-and-environmental-sciencessource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:earth-environmentalmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[field].local:field:ocean-atmosphericmapping · dataverse ird frconnector:dataverse_ird_fr@1.0.0/subjects
concepts[modality].local:modality:remote-sensingenrichment · dataverse ird frkeyword-concept-rules@1.0.0title+description (65%)
created_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
descriptionsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/description
publication_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
titlesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0/name
updated_datesource · dataverse ird frconnector:dataverse_ird_fr@1.0.0
version_labelsource · dataverse ird frconnector:dataverse_ird_fr@1.0.0