Related Experiment Video
Updated: May 21, 2025
10:28
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
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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.
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.
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