v1.5.1
CoastSeg v1.5.1 Release Notes
Advancing SAR-Based Shoreline Extraction
This release builds upon the foundational work initiated by Katie Devore and Dylan L. Anderson, focusing on enhancing shoreline extraction from Synthetic Aperture Radar (SAR) imagery.
The current models available for shoreline extraction were originally designed for RGB, NIR, and SWIR imagery and are serving as placeholders until development is finished on models better suited for SAR data.
We are actively developing a more robust solution to improve accuracy and reliability in SAR-based shoreline detection.
What's New
🛰️ SAR Data Integration
CoastSeg now supports downloading and processing SAR data, enabling users to analyze coastal regions under various conditions, including cloud cover and low-light scenarios.
Note: Currently, users can only download SAR imagery with:
"transmitterReceiverPolarisation": ["VH"]"instrumentMode": "IW"
🧪 Experimental SAR Workflow
An initial SAR processing pipeline has been introduced, allowing users to experiment with SAR data for shoreline extraction.
This feature is in its early stages, and we welcome feedback to refine and enhance its capabilities.
🧰 SAR Support in Both Workflows
Users can now utilize SAR imagery in both the CoastSat and Zoo workflows:
-
CoastSat Workflow: Download SAR imagery and apply Otsu thresholding to delineate shorelines.
-
Zoo Workflow: Apply existing RGB models to SAR imagery or use custom models via the
5_zoo_workflow_local_model.pyscript.
Issues Closed
Contributors
We extend our sincere thanks to the following contributors for their invaluable support in this release:
- @2320sharon for their contributions to the project.
- @dbuscombe-usgs and @mlundine for their assistance in developing the SAR data processing capabilities.
- @Cjanda12 for beta testing this release and providing essential feedback.
- @krd57 and Dylan L. Anderson for their work on developing CoastSeg.Arctic and sharing their code for downloading and processing SAR imagery.
Full Changelog
For a detailed list of changes, please refer to the full changelog.
We appreciate your continued support and contributions as we work towards more advanced and accurate shoreline extraction methods using SAR imagery.

