Acknowledgement
This research was supported by a grant (20240128-001: Development of future-leading technologies solving water crisis against to water disasters affected by climate change) of KICT.
References
- Dellepiane, S. G. and Angiati, E. (2012). "A new method for cross-normalization and multitemporal visualization of SAR images for the detection of flooded areas." IEEE Transactions on Geoscience and Remote Sensing, IEEE, Vol. 50, No. 7, pp. 2765-2779, https://ieeexplore.ieee.org/document/6132463.
- Das, A., Das, S. S., Chowdhury, N. R., Joardar, M., Ghosh, B. and Roychowdhury, T. (2020). "Quality and health risk evaluation for groundwater in Nadia district, West Bengal: An approach on its suitability for drinking and domestic purpose." Groundwater for Sustainable Development, Vol. 10, 100351.
- Enan, M. E. (2021). "Deep learning for studying urban water bodies spatio-temporal transformation: a study of Chittagong City, Bangladesh" (Doctoral dissertation).
- ESA. (2012). SENTINEL-1(ESA's Radar Observatory Mission for GMES Operational Services). Available at: https://sentinel.esa.int/documents/247904/349449/S1_SP-1322_1.pdf.
- Ferentino, E., Nunziata F., Buono A., Urciuoli A. and Migliaccio M. (2020). "Multipolarization time series of sentinel-1 SAR imagery to analyze variations of reservoirs' water body." IEEE Journal of Selected Topics in Aplied Earth Observations and Remote Sensing, Vol. 13, pp. 840-846.
- Frazier, P. S. and Page, K. J. (2000). "Water body detection and delineation with Landsat TM data." Photogrammetric Engineering and Remote Sensing, Vol. 66, No. 12, pp. 1461-1468.
- Gharvia, R. (2023). "Deep learning for automatic extraction of water bodies using satellite imagery." Journal of the Indian Society of Remote Sensing, Vol. 51, No. 7, pp. 1511-1521.
- Giustarini, L., Hostache, R., Matgen, P., Schumann, G. J., Bates, P. D. and Mason, D. C. (2013). "A change detection approach to flood mapping in urban areas using TerraSAR-X." IEEE Transactions on Geoscience and Remote Sensing, Vol. 51, pp. 2417-2430, https://doi.org/10.1109/TGRS.2012.2210901.
- Herndon, K., Muench, R., Cherrington, E. and Griffin, R. (2020). "An assessment of surface water detection methods for water resource management in the Nigerien Sahel." Sensors, Vol. 20, No. 2, 431, https://doi.org/10.3390/s20020431.
- Kim, J. H. and Noh, H. S. (2023). "Analysis of water surface change in reservoir using SAR Images." 2023 Korea Water Resource Association Conference. P3-53 (in Korean).
- Li, J., Ma R., Cao, X., Xue K., Xiong, K., Hu, M. and Feng, X. (2022). "Satellite detection of surface water extent: A review of methodology." Journals Water, Vol. 14, No. 7, 1148, https://doi.org/10.3390/w14071148.
- Li, M., Hong, L., Guo, J. and Zhu, A. (2021). "Automated extraction of lake water bodies in complex geographical environments by fusing Sentinel-1/2 data." Water, Vol. 14, No. 1, 30. https://doi.org/10.3390/w14010030.
- Lin, Y. N., Yun, S. H., Bhardwaj, A. and Hill, E. M. (2019). "Urban flood detection with Sentinel-1 multi temporal synthetic aperture radar (SAR) observations in a Bayesian framework: A case study for Hurricane Matthew." Remote Sensing, Vol. 11, No. 15, 1778. https://doi.org/10.3390/rs11151778.
- Manavalan, R. (2017). "SAR image analysis techniques for flood area mapping literature survey." Earth Science Informatics, Vol. 10, No. 1, pp. 1-14.
- McFeeters, S. K. (1996). "The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features." International Journal of Remote Sensing, Vol. 17, No. 7, 1425-1432, https://doi.org/10.1080/01431169608948714.
- Mason, D. C., Davenport, I. J., Neal, J. C., Schumann, G. J. P. and Bates, P. D. (2012). "Near real-time flood detection in urban and rural areas using high resolution synthetic aperture radar images." IEEE Transactions on Geoscience and Remote Sensing, Vol. 50, No. 8, pp. 3041-3052.
- Otsu, N. (1979). "A threshold selection method from gray-level histograms." IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, pp. 62-66.
- Ozelkan, E. (2020). "Water body detection analysis using NDWI indices derived from landsat-8 OLI." Polish Journal of Environmental Studies, Vol. 29, No. 2, pp. 1759-1769.
- Santoro, M., Wegmuller, U., Lamarche, C., Bontemps, S., Defourny, P. and Arino, O. (2015). "Strengths and weaknesses of multi-year Envisat ASAR backscatter measurements to map permanent open water bodies at global scale." Remote Sensing of Environment, Vol. 171, pp. 185-201.
- Wang, K. and Trinder, J. C. (2014). "Applied watershed segmentation algorithm for water body extraction in airborne SAR image." In EUSAR 2014; 10th European Conference on Synthetic Aperture Radar, pp. 1-4.
- Yang, X., Zhao, S., Qin, X., Zhao, N. and Liang, L. (2017). "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.