All Issue

2026 Vol.59, Issue 1 Preview Page

Research Article

31 January 2026. pp. 101-113
Abstract
References
1

Aleissaee, A.A., Kumar, A., Anwer, R.M., Khan, S., Cholakkal, H., Xia, G.S., and Khan, F.S. (2023). “Transformers in remote sensing: A survey.” Remote Sensing, Vol. 15, No. 7, 1860.

10.3390/rs15071860
2

Bazi, Y., Bashmal, L., Rahhal, M.M.A., Dayil, R.A., and Ajlan, N.A. (2021). “Vision transformers for remote sensing image classification.” Remote Sensing, Vol. 13, No. 3, 516.

10.3390/rs13030516
3

Choi, S., Youn, Y., Kang, J., Park, G., Kim, G., Lee, S., Jeong, H., and Lee, Y. (2022). “An artificial intelligence approach to waterbody detection of the agricultural reservoirs in South Korea using Sentinel-1 SAR images.” Korean Journal of Remote Sensing, Vol. 38, No. 5-3, pp. 925-938. doi: 10.7780/kjrs.2022.38.5.3.10.

10.7780/kjrs.2022.38.5.3.10
4

Cordeiro, M.C.R., Martinez, J.M., and Peña-Luque, S. (2021). “Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors.” Remote Sensing of Environment, Vol. 253, 112209. doi: 10.1016/j.rse.2020.112209.

10.1016/j.rse.2020.112209
5

Du, Y., Zhang, Y., Ling, F., Wang, Q., Li, W., and Li, X. (2016). “Water bodies’ mapping from Sentinel-2 imagery with Modified Normalized Difference Water Index at 10-m spatial resolution produced by sharpening the swir band.” Remote Sensing, Vol. 8, No. 4, 354. doi: 10.3390/rs8040354.

10.3390/rs8040354
6

Feng, W., Sui, H., Huang, W., Xu, C., and An, K. (2018). “Water body extraction from very high-resolution remote sensing imagery using Deep U-Net and a superpixel-based conditional random field model.” IEEE Geoscience and Remote Sensing Letters, Vol. 16, No. 4, pp. 618-622. doi: 10.1109/LGRS.2018.2879492.

10.1109/LGRS.2018.2879492
7

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. doi: 10.3741/JKWRA.2021.54.7.535.

10.3741/JKWRA.2021.54.7.535
8

Kang, J., Guan, H., Ma, L., Wang, L., Xu, Z., and Li, J. (2023). “WaterFormer: A coupled transformer and CNN network for waterbody detection in optical remotely-sensed imagery.” ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 206, pp. 222-241. doi: 10.1016/j.isprsjprs.2023.11.006.

10.1016/j.isprsjprs.2023.11.006
9

Kavats, O., Khramov, D., and Sergieieva, K. (2022). “Surface water mapping from SAR images using optimal threshold selection method and reference water mask.” Water, Vol. 14, No. 24, 4030. doi: 10.3390/w14244030.

10.3390/w14244030
10

Kim, W., Cho, S., Jeong, J., Kim, Y., Kim, H.O., and Choi, M. (2024a). “Evaluation of deep learning-based water bodies and flooded area detection with nanosatellites: The planetscope satellite imageries and HRNet model.” Korean Journal of Remote Sensing, Vol. 40, No. 5, pp. 617-627. doi: 10.7780/kjrs.2024.40.5.1.16.

10.7780/kjrs.2024.40.5.1.16
11

Kim, W., Jeong, J., and Choi, M. (2022). “Evaluation of reservoir monitoring-based hydrological drought index using Sentinel-1 SAR waterbody detection technique.” Korean Journal of Remote Sensing, Vol. 38, No. 2, pp. 153-166. doi: 10.7780/kjrs.2022.38.2.2.

10.7780/kjrs.2022.38.2.2
12

Kim, W., Lee, S., and Choi, M. (2024b). “A comparative study of remotely sensed reservoir monitoring across multiple land cover types.” Science of the Total Environment, Vol. 948, 174678. doi: 10.1016/j.scitotenv.2024.174678.

10.1016/j.scitotenv.2024.174678
13

Kittler, J., and Illingworth, J. (1986). “Minimum error thresholding.” Pattern Recognition, Vol. 19, No. 1, pp. 41-47.

10.1016/0031-3203(86)90030-0
14

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. 5-1, pp. 497-510. doi: 10.7780/kjrs.2022.38.5.1.5.

10.7780/kjrs.2022.38.5.1.5
15

Lee, S., Kim, W., Cho, S., Jeon, H., and Choi, M. (2023). “Water resources monitoring technique using multi-source satellite image data fusion.” Journal of Korea Water Resources Association, Vol. 56, No. 8, pp. 497-508. doi: 10.3741/JKWRA.2023.56.8.497

10.3741/JKWRA.2023.56.8.497
16

Liu, Z., Lin, Y., Cao, Y., Hu, H., Wei, Y., Zhang, Z., and Guo, B. (2021). “Swin transformer: hierarchical vision transformer using shifted windows.” IEEE/CVF International Conference on Computer Vision, pp. 10012-10022.

10.1109/ICCV48922.2021.00986
17

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. doi: 10.1080/01431169608948714.

10.1080/01431169608948714
18

Mullen, A.L., Watts, J.D., Rogers, B.M., Carroll, M.L., Elder, C.D., Noomah, J., Williams, Z., Caraballo-Vega, J.A., Bredder, A., and Rickenbaugh, E. et al. (2023). “Using high‐resolution satellite imagery and deep learning to track dynamic seasonality in small water bodies.” Geophysical Research Letters, Vol. 50, No. 7, e2022GL102327.

10.1029/2022GL102327
19

Otsu, N. (1975). “A threshold selection method from gray-level histograms.” Automatica, Vol. 11, No. 285-296, pp. 23-27.

20

Qin, P., Cai, Y., and Wang, X. (2021). “Small waterbody extraction with improved U-Net using Zhuhai-1 hyperspectral remote sensing images.” IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5.

10.1109/LGRS.2020.3047918
21

Russo, L., Mauro, F., Memar, B., Sebastianelli, A., Gamba, P., and Ullo, S. (2024). “Using multi-temporal Sentinel-1 and Sentinel-2 data for water bodies mapping.” 2024 IEEE International Geoscience and Remote Sensing Symposium, Athens, Greece, pp. 1922-1926. doi: 10.1109/IGARSS53475.2024.10641660.

10.1109/IGARSS53475.2024.10641660
22

Singh, S., and Kansal, M.L. (2022). “Chamoli flash-flood mapping and evaluation with a supervised classifier and NDWI thresholding using Sentinel-2 optical data in Google earth engine.” Earth Science Informatics, Vol. 15, No. 2, pp. 1073-1086.

10.1007/s12145-022-00786-8
23

Tesfaye, M., and Breuer, L. (2025). “Remote sensing with machine learning for multi-decadal surface water monitoring in Ethiopia.” Scientific Reports, Vol. 15, No. 1, 12444.

10.1038/s41598-025-96955-y40216865PMC11992131
24

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.

10.1080/01431160600589179
25

Xu, Y., Lin, J., Zhao, J., and Zhu, X. (2021). “New method improves extraction accuracy of lake water bodies in Central Asia.” Journal of Hydrology, Vol. 603, 127180. doi: 10.1016/j.jhydrol.2021.127180.

10.1016/j.jhydrol.2021.127180
26

Yang, L., Driscol, J., Sarigai, S., Wu, Q., Lippitt, C.D., Morgan, M. (2022). “Towards synoptic water monitoring systems: A review of AI methods for automating water body detection and water quality monitoring using remote sensing.” Sensors, MDPI, Vol. 22, No. 6, 2416. doi: 10.3390/s22062416.

10.3390/s2206241635336587PMC8949619
27

Yang, Q., Rao, L., Fan, G., Chen, N., Cheng, S., Song, X., and Yang, D. (2024). “WatNet: A high-precision water body extraction method in remote sensing images under complex backgrounds.” Journal of Applied Remote Sensing, Vol. 18, No. 4, 044515- 044515.

10.1117/1.JRS.18.044515
28

Yu, Y., Huang, L., Lu, W., Guan, H., Ma, L., Jin, S., Yu, C., Zhang, Y., Tang, P., Liu, Z., Wang, W., and Li, J. (2022). “WaterHRNet: A multibranch hierarchical attentive network for water body extraction with remote sensing images.” International Journal of Applied Earth Observation and Geoinformation, Elsevier B.V., Vol. 115, 103103. doi: 10.1016/j.jag.2022.103103.

10.1016/j.jag.2022.103103
29

Yuan, Q., Wu, L., Huang, Y., Guo, Z., and Li, N. (2023). “Water- Body detection from spaceborne SAR images with DBO-CNN.” IEEE Geoscience and Remote Sensing Letters, Vol. 20, 4013405. doi: 10.1109/LGRS.2023.3325939.

10.1109/LGRS.2023.3325939
30

Zhao, C., Wei, H., Feyisa, G.L., de Castro Tayer, T., Ma, G., Wu, H., and Pan, Y. (2025). “Evaluating spectral indices for water extraction: Limitations and contextual usage recommendations.” International Journal of Applied Earth Observation and Geoinformation, Vol. 139, 104510.

10.1016/j.jag.2025.104510
31

Zhu, Z., and Woodcock, C.E. (2012). “Object-based cloud and cloud shadow detection in Landsat imagery.” Remote Sensing of Environment, Vol. 118, pp. 83-94.

10.1016/j.rse.2011.10.028
Information
  • Publisher :KOREA WATER RESOURECES ASSOCIATION
  • Publisher(Ko) :한국수자원학회
  • Journal Title :Journal of Korea Water Resources Association
  • Journal Title(Ko) :한국수자원학회 논문집
  • Volume : 59
  • No :1
  • Pages :101-113
  • Received Date : 2025-10-13
  • Revised Date : 2025-12-15
  • Accepted Date : 2025-12-16