Acknowledgement
본 연구는 국토교통부/국토교통과학기술진흥원의 지원으로 수행되었습니다(과제번호 RS-2022-00155763). 본 연구는 교육부 및 한국연구재단의 4단계 두뇌한국21 사업(4단계 BK21 사업)으로 지원된 연구입니다.
References
- Abid, N., Shahzad, M., Malik, M.I., Schwanecke, U., Ulges, A., Kovacs, G., and Shafait, F. (2021). "UCL: Unsupervised Curriculum Learning for water body classification from remote sensing imagery." International Journal of Applied Earth Observation and Geoinformation, Vol. 105, 102568.
- Ahmad, W., and Kim, D. (2019). "Estimation of flow in various sizes of streams using the Sentinel-1 Synthetic Aperture Radar (SAR) data in Han River Basin, Korea." International Journal of Applied Earth Observation and Geoinformation, Vol. 83, 101930.
- Bangira, T., Alfieri, S.M., Menenti, M., and Van Niekerk, A. (2019). "Comparing thresholding with machine learning classifiers for mapping complex water." Remote Sensing, Vol. 11, No. 11, 1351.
- Borse, S., Wang, Y., Zhang, Y., and Porikli, F. (2021). "Inverseform: A loss function for structured boundary-aware segmentation." Proceedings of the IEEE/CVF Conference on computer Vision and Pattern Recognition, Virtual, pp. 5901-5911.
- Busker, T., de Roo, A., Gelati, E., Schwatke, C., Adamovic, M., Bisselink, B., Pekel, J.-F., and Cottam, A. (2019). "A global lake and reservoir volume analysis using a surface water dataset and satellite altimetry." Hydrology and Earth System Sciences, Vol. 23, No. 2, 669-690. https://doi.org/10.5194/hess-23-669-2019
- Drusch, M., Del Bello, U., Carlier, S., Colin, O., Fernandez, V., Gascon, F., Hoersch, B., Isola, C., Laberinti, P., and Martimort, P. (2012). "Sentinel-2: ESA's optical high-resolution mission for GMES operational services." Remote sensing of Environment, Vol. 120, pp. 25-36. https://doi.org/10.1016/j.rse.2011.11.026
- Duan, L., and Hu, X. (2019). "Multiscale refinement network for water-body segmentation in high-resolution satellite imagery." IEEE Geoscience and Remote Sensing Letters, Vol. 17, No. 4, pp. 686-690. https://doi.org/10.1109/LGRS.2019.2926412
- Ferrentino, 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 Applied Earth Observations and Remote Sensing, Vol. 13, pp. 840-846.
- Feyisa, G.L., Meilby, H., Fensholt, R., and Proud, S.R. (2014). "Automated water extraction index: A new technique for surface water mapping using Landsat imagery." Remote Sensing of Environment, Vol. 140, pp. 23-35. https://doi.org/10.1016/j.rse.2013.08.029
- Foroughnia, F., Alfieri, S.M., Menenti, M., and Lindenbergh, R. (2022). "Evaluation of SAR and optical data for flood delineation using supervised and unsupervised classification." Remote Sensing, Vol. 14, No. 15, 3718.
- Gao, H., Birkett, C., and Lettenmaier, D.P. (2012). "Global monitoring of large reservoir storage from satellite remote sensing." Water Resources Research, Vol. 48, No. 9, W09504.
- Grimaldi, S., Xu, J., Li, Y., Pauwels, V.R., and Walker, J.P. (2020). "Flood mapping under vegetation using single SAR acquisitions." Remote Sensing of Environment, Vol. 237, 111582.
- Hartigan, J.A., and Wong, M.A. (1979). "Algorithm AS 136: A kmeans clustering algorithm." Journal of the Royal Statistical Society. Series C (Applied statistics), Vol. 28, No. 1, pp. 100-108.
- Irwin, K., Beaulne, D., Braun, A., and Fotopoulos, G. (2017). "Fusion of SAR, optical imagery and airborne LiDAR for surface water detection." Remote Sensing, Vol. 9, No. 9, 890.
- Jang, M.-W., Lee, H.-J., Kim, Y.-H., and Hong, S.-Y. (2011). "Applicability of satellite SAR imagery for estimating reservoir storage." Journal of the Korean Society of Agricultural Engineers, Vol. 53, No. 6, pp. 7-16. https://doi.org/10.5389/KSAE.2011.53.6.007
- Jeong, J., Oh, S., Lee, S., Kim, J., and Choi, M. (2021). "Sentinel-1 SAR image-based waterbody detection technique for estimating the water storage in agricultural reservoirs." Journal of Korea Water Resources Association, Vol. 54, No. 7, pp. 535-544. https://doi.org/10.3741/JKWRA.2021.54.7.535
- Jeung, M., Beom, J., Sung, M.-h., Lee, J., Yoo, S.-h., and Yoon, K.-s. (2021). "Evaluation of irrigation safety by operation management of water supply from large scale agricultural reservoirs." Journal of the Korean Society of Hazard Mitigation, Vol. 21, No. 1, pp. 189-198. https://doi.org/10.9798/KOSHAM.2021.21.1.189
- Kaplan, G., and Avdan, U. (2017). "Object-based water body extraction model using Sentinel-2 satellite imagery." European Journal of Remote Sensing, Vol. 50, No. 1, pp. 137-143. https://doi.org/10.1080/22797254.2017.1297540
- Ksenak, L'., Pukanska, K., Bartos, K., and Blist'an, P. (2022). "Assessment of the Usability of SAR and optical satellite data for monitoring spatio-temporal changes in surface water: Bodrog River case study." Water, Vol. 14, No. 3, 299.
- Lee, D., Cheon, E.J., Yun, H., and Lee, M.H. (2019). "A study on water surface detection algorithm using Sentinel-1 satellite imagery." Korean Journal of Remote Sensing, Vol. 35, No. 5, pp. 809-818. https://doi.org/10.7780/KJRS.2019.35.5.2.5
- Lee, H.-J., Nam, W.-H., Yoon, D.-H., Jang, M.-W., Hong, E.-M., Kim, T., and Kim, D.-E. (2020). "Estimation of water storage in small agricultural reservoir using Sentinel-2 satellite imagery." Journal of the Korean Society of Agricultural Engineers, Vol. 62, No. 6, 1-9. https://doi.org/10.5389/KSAE.2020.62.6.001
- Lee, S., Jeong, J., Oh, S., Jeong, H., and Choi, M. (2022). "Multi-resolution SAR image-based agricultural reservoir monitoring." Korean Journal of Remote Sensing, Vol. 38, No. 5, pp. 497-510. https://doi.org/10.7780/KJRS.2022.38.5.1.5
- Li, Y., Dang, B., Zhang, Y., and Du, Z. (2022). "Water body classification from high-resolution optical remote sensing imagery: Achievements and perspectives." ISPRS Journal of Photo-grammetry and Remote Sensing, Vol. 187, pp. 306-327. https://doi.org/10.1016/j.isprsjprs.2022.03.013
- Likas, A., Vlassis, N., and Verbeek, J.J. (2003). "The global K-means clustering algorithm." Pattern Recognition, Vol. 36, No. 2, pp. 451-461. https://doi.org/10.1016/S0031-3203(02)00060-2
- Martinis, S., Kersten, J., and Twele, A. (2015). "A fully automated TerraSAR-X based flood service." ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 104, pp. 203-212. https://doi.org/10.1016/j.isprsjprs.2014.07.014
- 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, pp. 1425-1432. https://doi.org/10.1080/01431169608948714
- Ministry of Science, ICT and Future Planning (MSIP) (2014). Master plan for space development.
- Pappas, O., Achim, A., and Bull, D. (2018). "Superpixel-level CFAR detectors for ship detection in SAR imagery." IEEE Geoscience and Remote Sensing Letters, Vol. 15, No. 9, pp. 1397-1401. https://doi.org/10.1109/LGRS.2018.2838263
- Pierdicca, N., Pulvirenti, L., Chini, M., Guerriero, L., and Candela, L. (2013). "Observing floods from space: Experience gained from COSMO-SkyMed observations." Acta Astronautica, Vol. 84, pp. 122-133. https://doi.org/10.1016/j.actaastro.2012.10.034
- Vicente-Serrano, S.M., Quiring, S.M., Pena-Gallardo, M., Yuan, S., and Dominguez-Castro, F. (2020). "A review of environmental droughts: Increased risk under global warming?." Earth-Science Reviews, Vol. 201, 102953.
- Warren, S.G. (1982). "Optical properties of snow." Reviews of Geophysics, Vol. 20, No. 1, pp. 67-89. https://doi.org/10.1029/RG020i001p00067
- Xu, H. (2005). "A study on information extraction of water body with the modified normalized difference water index (MNDWI)." Journal of Remote Sensing, Vol. 9, No. 5, pp. 589-595.
- Xu, H. (2006). "Modification of Normalised Difference Water Index (NDWI) to enhance open water features in remotely sensed imagery." International Journal of Remote Sensing, Vol. 27, No. 14, pp. 3025-3033. https://doi.org/10.1080/01431160600589179
- Zhu, F., Zhu, Y., Zhang, L., Wu, C., Fu, Y., and Li, M. (2021). "A unified efficient pyramid transformer for semantic segmentation." Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, pp. 2667-2677.
- Zhuge, X.-Y., Zou, X., and Wang, Y. (2017). "A fast cloud detection algorithm applicable to monitoring and nowcasting of daytime cloud systems." IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 11, pp. 6111-6119. https://doi.org/10.1109/TGRS.2017.2720664