ACCURACY EVALUATION OF COASTLINE EXTRACTION METHODS IN REMOTE SENSING: A SMART PROCEDURE FOR SENTINEL-2 IMAGES

9 citations as recorded by crossref.

1. An Enhanced Tidal Flat Waterline Extraction Algorithm Based on Curated Sentinel-2 Training Data and Its Applications C. Li et al. https://doi.org/10.1109/JSTARS.2025.3623102
2. ArcExSL: an ArcGIS Toolbox for Automated Shoreline Extraction and Database Generation from Satellite Imageries V. Anandhan et al. https://doi.org/10.1007/s12524-025-02385-8
3. Coastline Automatic Extraction from Medium-Resolution Satellite Images Using Principal Component Analysis (PCA)-Based Approach C. Parente et al. https://doi.org/10.3390/rs16101817
4. UAS-Validated Comparison of Sentinel-2 Shoreline Extraction Techniques for Large-Lake Coastal Mapping M. Elmeligy et al. https://doi.org/10.3390/technologies14080459
5. Accuracy of Surface Water Maps Derived from Radar Satellite Imagery Compared to Multispectral Satellite Imagery K. Kirby et al. https://doi.org/10.1080/07038992.2024.2433591
6. Modeling and Accuracy Assessment of Determining the Coastline Course Using Geodetic, Photogrammetric and Satellite Measurement Methods: Case Study in Gdynia Beach in Poland F. Figliomeni et al. https://doi.org/10.3390/electronics13020412
7. Flood Mud Index (FMI): A Rapid and Effective Tool for Mapping Muddy Areas After Floods—The Valencia Case E. Alcaras https://doi.org/10.3390/rs17050770
8. Multi-source remote sensing approach for monitoring the Caspian Sea shoreline dynamics T. Dedova et al. https://doi.org/10.3389/feart.2026.1918346
9. A Proposal for Automatic Coastline Extraction from Landsat 8 OLI Images Combining Modified Optimum Index Factor (MOIF) and K-Means F. Figliomeni et al. https://doi.org/10.3390/rs15123181