Open Access
| Issue |
E3S Web Conf.
Volume 727, 2026
International Conference on Electronics, Engineering Physics and Earth Science (EEPES 2026)
|
|
|---|---|---|
| Article Number | 02009 | |
| Number of page(s) | 13 | |
| Section | Renewable Energy and Green Technologies | |
| DOI | https://doi.org/10.1051/e3sconf/202672702009 | |
| Published online | 27 July 2026 | |
- J.-F. Pekel, A. Cottam, N. Gorelick, and A. S. Belward, High-resolution mapping of global surface water and its long-term changes. Nature, vol. 540, no. 7633, pp. 418–422 (2016). https://doi.org/10.1038/nature20584 [CrossRef] [PubMed] [Google Scholar]
- M. C. R. Cordeiro, J.-M. Martínez, and S. Peña-Luque, Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images. Remote Sensing of Environment, vol. 253, 112209 (2021). https://doi.org/10.1016/j.rse.2020.112209 [Google Scholar]
- X. Yang, S. Zhao, X. Qin, and N. Zhao, Mapping of urban surface water bodies from Sentinel-2 MSI imagery at 10 m resolution via NDWI-based image sharpening. Remote Sensing, vol. 9, no. 6, 596 (2017). https://doi.org/10.3390/rs9060596 [Google Scholar]
- G. L. Feyisa, H. Meilby, R. Fensholt, and S. R. Proud, Automated Water Extraction Index (AWEI): A new technique for surface water mapping. Remote Sensing of Environment, vol. 140, pp. 23–35 (2014). https://doi.org/10.1016/j.rse.2013.08.029 [Google Scholar]
- H. Xing, Jingge Niu, Yongyu Feng, Dongyang Hou, Yan Wang, Zhiqiang Wang., A coastal wetlands mapping approach with hierarchical classification and optimal feature selection. Catena, vol. 223, 106897 (2023). https://doi.org/10.1016/j.catena.2022.106897 [Google Scholar]
- S. P. Viaña-Borja and M. Ortega-Sánchez, Automatic methodology to detect coastline from Landsat images using a new water index. Remote Sensing, vol. 11, no. 18, 2186 (2019). https://doi.org/10.3390/rs11182186 [Google Scholar]
- N. Dimitrov and V. Markova, Dynamic Ensemble Voting for Water Extraction: Optimizing Sentinel-2 Water Indices for Enhanced Accuracy and Optimal Processing Time, 2025 6th International Conference on Communications, Information, Electronic and Energy Systems (CIEES), Ruse, Bulgaria, pp. 1–6 (2025). doi:10.1109/CIEES66347.2025.11300071. [Google Scholar]
- N. Gorelick, M. Hancher, M. Dixon, S. Ilyushchenko, D. Thau, R. Moore., Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote Sensing of Environment, vol. 202, pp. 18–27 (2017). https://doi.org/10.1016/j.rse.2017.06.031 [CrossRef] [Google Scholar]
- P. Du, J. Xia, W. Zhang, K. Tan, Y. Liu, and S. Liu, Advances in remote sensing image classification: A review. Remote Sensing, vol. 11, no. 10, 1235 (2019). https://doi.org/10.3390/rs11101235 [Google Scholar]
- W. Sun, C. Chen, and Y. Liu, Multi-index fusion and ensemble learning for coastal land cover mapping using Sentinel-2. Remote Sensing, vol. 16, no. 5, 812 (2024). https://doi.org/10.3390/rs16050812 [Google Scholar]
- Zhou, X.; Wang, J.; Zheng, F.; Wang, H.; Yang, H. An overview of coastline extraction from remote sensing data. Remote Sensing, vol. 15, no. 19, 4865 (2023). https://doi.org/10.3390/rs15194865 [Google Scholar]
- C. A. D. Tsiakos and C. Chalkias, Machine learning and remote sensing techniques for shoreline monitoring: A review. Applied Sciences, vol. 13, no. 5, 3268 (2023). https://doi.org/10.3390/app13053268 [Google Scholar]
- Katlane, R., Doxaran, D., ElKilani, B. and Ch. Trabelsi, Remote Sensing of Turbidity in Optically Shallow Waters Using Sentinel-2 MSI and PRISMA Satellite Data. PFG 92, 431–447 (2024). https://doi.org/10.1007/s41064-023-00257-9 [Google Scholar]
- Sun, W., Chen, C., Liu, W., Yang, G., Meng, X., Wang, L., & Ren, K.. Coastline extraction using remote sensing: a review. GI Science & Remote Sensing, 60(1) (2023). https://doi.org/10.1080/15481603.2023.2243671 [Google Scholar]
- Sun, S., Xue, Q., Xing, X., Zhao, H., Zhang, F. Remote Sensing Image Interpretation for Coastal Zones: A Review. Remote Sens. 16, 4701 (2024). https://doi.org/10.3390/rs16244701 [Google Scholar]
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