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Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information

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A global high resolution coastline database from satellite imagery.

Sanduni D Mudiyanselage¹, Chunli Dai², Ian M Howat³

¹School of Forest, Fisheries, and Geomatics Sciences (FFGS), University of Florida, Gainesville, FL, USA. sanduni.disanaya@ufl.edu.

Scientific Data

|May 17, 2025

Summary

High-resolution global coastlines and intertidal zones were mapped using satellite imagery from 2009-2023. These data reveal sensitive coastal areas and support sea level rise monitoring.

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Area of Science:

Earth Observation
Coastal Geomorphology
Remote Sensing

Background:

Coastlines are dynamic boundaries influenced by tides and sea level.
Accurate coastline and intertidal zone data are crucial for coastal management.
Existing coastline products may lack the resolution needed for detailed analysis.

Purpose of the Study:

To present global coastlines, water probability maps, and intertidal zones.
To provide high-spatial-resolution (2m) coastal data derived from satellite imagery.
To support coastal resource management and the monitoring of sea-level rise impacts.

Main Methods:

Utilized multispectral satellite imagery from Maxar (2009-2023).
Extracted coastlines based on median tidal height and included modeled tidal data.
Generated intertidal zones using water probability and coastline data.

Main Results:

Developed global coastline and intertidal zone products at 2m resolution.
Identified the largest intertidal zone in south-central Alaska (124.7 km², 3.8 km width).
Validated coastline products against NOAA's standard datasets.

Conclusions:

High-resolution coastline data enhance coastal resource management and planning.
Intertidal zones are sensitive indicators of sea-level variations.
The presented dataset supports research on coastal changes and sea-level rise impacts.