6. REFERENCES
1. Acharya, T. D., Subedi, A., Lee, D. H. Evaluation of Water Indices for Surface Water Extraction in a Landsat 8 Scene of Nepal. Sensors, 2018, 18, 2580.
2. Acharya, T. D., Lee, D. H., Yang, I. T., Lee, J. K. Identification of Water Bodies in a Landsat 8 OLI Image Using a J48 Decision Tree. Sensors. 2016, 16, 1075. https:// doi. org / 10.3390 / s16071075.
3. Adams, R., Bischof, L. Seeded Region Growing. IEEE Transactions on pattern analysis and machine intelligence. 1994, Vol. 16, No. 6. 641-647.
4. Chen, F., Chen, X., Van de Voorde, T., Roberts, D., Jiang, H., Xu, W. Open water detection in urban environments using high spatial resolution remote sensing imagery. Remote Sens. Environ. 2020, Vol. 242, 111706, https:// doi. org / 10.1016 / j. rse. 2020.111706.
5. Feyisa, G. L., Meilby, H., Fensholt, R., Proud, S. R. Automated Water Extraction Index: A new technique for surface water mapping using Landsat imagery. Remote Sens. Environ. 2014, 140, 23 – 35.
6. Hengl, Т., Leal Parente, L., Krizan, J., Carmelo, B. Continental Europe Digital Terrain Model at 30 m resolution based on GEDI, ICESat-2, AW3D, GLO-30, EUDEM, MERIT DEM and background layers( v0.3) [ Data set ]. 2020, Zenodo. https:// doi. org / 10.5281 / zenodo. 4724549.
7. Hu, F., Xia, G.-S., Wang, Z., Huang, X., Zhang, L., Sun, H. Unsupervised Feature Learning via Spectral Clustering of Multidimensional Patches for Remotely Sensed Scene Classification," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 2015, vol. 8, no. 5, pp. 2015-2030, doi: 10.1109 / JSTARS. 2015.2444405.
8. Ji, L., Geng, X., Sun, K., Zhao, Y., Gong, P. Target Detection Method for Water Mapping Using Landsat 8 OLI / TIRS Imagery. Water. 2015, 7, 794 – 817.
9. Kaplan, G., Avdan, U. Object-based water body extraction model using Sentinel-2 satellite imagery. European Journal of Remote Sensing. 2017, 50( 1), 137 – 143. https:// doi. org / 10.1080 / 22797254.2017.1297540.
10. Khalid, H. W., Khalil, R. M. Z., Qureshi, M. A. Evaluating spectral indices for water bodies extraction in western Tibetan Plateau. Egypt. J. Remote Sens. Space Sci. 2021, 24, pp. 619 – 634.
11. Ko, B. C., Kim, H. H., Nam, J. Y. Classification of Potential Water Bodies Using Landsat 8 OLI and a Combination of Two Boosted Random Forest Classifiers. Sensors. 2015, 15, 13763-13777. https:// doi. org / 10.3390 / s150613763.
12. Li, W.; Du, Z.; Ling, F.; Zhou, D.; Wang, H.; Gui, Y.; Sun, B.; Zhang, X. A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM + and ALI. Remote Sens. 2013, 5, 5530-5549. https:// doi. org / 10.3390 / rs5115530.
13. McFeeters, S. K. The use of the Normalized Difference Water Index( NDWI) in the Delineation of Open Water Features. International Journal of Remote Sensing, 1996, 17, 1425 – 1432.14.
14. Niu, L., Kaufmann, H., Xu, G., Zhang, G., Ji, C., He, Y., Sun, M. Triangle Water Index( TWI): An Advanced Approach for More Accurate Detection and Delineation of Water Surfaces in Sentinel- 2 Data. Remote Sens. 2022, 14, 5289. https:// doi. org / 10.3390 / rs14215289.
15. Pena-Regueiro, J.; Sebastiá-Frasquet, M.-T.; Estornell, J.; Aguilar-Maldonado, J. A. Sentinel-2 Application to the Surface Characterization of Small Water Bodies in Wetlands. Water. 2020, 12, 1487. https:// doi. org / 10.3390 / w12051487
16. Reis, L. G. d. M.; Souza, W. d. O.; Ribeiro Neto, A.; Fragoso, C. R., Jr.; Ruiz-Armenteros, A. M.; Cabral, J. J. d. S. P.; Montenegro, S. M. G. L. Uncertainties Involved in the Use of Thresholds for the Detection of Water Bodies in Multitemporal Analysis from Landsat-8 and Sentinel-2 Images. Sensors 2021, 21, 7494. https:// doi. org / 10.3390 / s21227494
17. Robak, A., A. Gadawska, A., Milczarek, М., Lewiński, S. The detection of water on Sentinel-2 imagery based on water indices, Teledetekcja Środowiska. 2016, Tom 55( 2016 / 2), pp. 59-72.( на полски, резюме на английски).
18. Rokni, K., Ahmad, A., Solaimani, K., Hazini, S. A new approach for surface water change detection: Integration of pixel level image fusion and image classification techniques. Internat. J. Appl. Earth Observ. Geoinform. 2015, 34, 226 – 234.
19. Shen, L., C. Li, C. Water body extraction from Landsat ETM + imagery using adaboost algorithm. 18 th International Conference on Geoinformatics. IEEE. 2010, 1 – 4.
20. Sheng, Y., Shah, C. A., Smith, L. C. Automated Image Registration for Hydrologic Change Detection in the Lake-Rich Arctic. IEEE Geosci. Remote Sens. Lett. 2008, 5, 414 – 418.
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