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Abstract

Summary

This publication presents a study focused on identifying shores with archaeological settlements submerged at depths of 2–3 meters in the northwestern Black Sea shelf, specifically around the Dnipro Estuary. The primary research method utilizes satellite technologies from the Sentinel-2 mission, applying combinations of spectral ranges using water index formulas (NDWI, MNDWI, NDTI). While satellite data can effectively detect water and underwater objects, limitations exist, such as dependency on weather conditions for multispectral data, challenges in accurately delineating boundaries, as well as seasonal and periodic changes and water turbidity caused by vegetation or algal blooms, particularly in shallow areas, etc. By employing specific conditions and image processing techniques outlined in this study, we successfully identified flooded paleo-banks with high pixel contrast, which will greatly enhance the search and examination of archaeological findings and sites classified as cultural and historical heritage of Ukraine.

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/content/papers/10.3997/2214-4609.2025510059
2025-04-14
2026-02-15
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References

  1. Feng, L., Hub, C., Chen, X., Song, Q. (2014). Influence of the Three Gorges Dam on total suspended matters in the Yangtze Estuary and its adjacent coastal waters: Observations from MODIS. Remote Sensing, 140, 779–788.
    [Google Scholar]
  2. Gao, B.C. (1996). NDWI - A normalized difference water index for remote sensing of vegetation liquid water from space. Remote Sensing of Environment, 58 (3), 257–266.
    [Google Scholar]
  3. Hou, X., Feng, L., Duan, H., Chen, X., Sunc, D., Shi, K. (2017). Fifteen-year monitoring of the turbidity dynamics in large lakes and reservoirs in the middle and lower basin of the Yangtze River, China. Remote Sensing, 190, 107–121.
    [Google Scholar]
  4. Iemelianov, V., Ievlev, M., Chubenko, O., Golovatyi, V. (2024). Antique and Medieval Heritage of the Northern Black Sea Region. Prominent sites and frequently used routes of coastal and underwater historical-archaeological tourism from the Danube to the Dnipro lowlands. PH “Akademperiodyka”, Kyiv, 146 p.
    [Google Scholar]
  5. Kwang, C., Osei Jnr, M.E., Sarpong, A.A. (2018). Comparing of Landsat 8 and Sentinel 2A using Water Extraction Indexes over Volta River. Journal of Geography and Geology, 10, 1–7.
    [Google Scholar]
  6. Lai, X., Shankman, D., Huber, C., Yesou, H., Huang, Q., Jiang, J. (2014). Sand mining and increasing Poyang Lake's discharge ability: A reassessment of causes for lake decline in China. Journal of Hydrology, 519, 1698–1706.
    [Google Scholar]
  7. Melnichenko, T. (2018). Estimation of activity the methane seepage from the Black Sea floor using MODIS images and geosciences data. Journal of Geology, Geography and Geoecology, 26(1), 135–142.
    [Google Scholar]
  8. Mustafa, M.T., Hassoon, K.I., Hussain, H.M., Modher, H. (2017). Using water indices (NDWI, MNDWI, NDMI, WRI AND AWEI) to detect physical and chemical parameters by apply remote sensing and Gis techniques. International Journal of Research - GRANTHAALAYAH, 5, 117–128.
    [Google Scholar]
  9. Melnychenko, T.Solovey, T. (2024). Mapping Water Bodies and Wetlands from Multispectral and SAR Data for the Cross-Border River Basins of the Polish-Ukrainian Border. Water, 16(3), 407, 1–28.
    [Google Scholar]
  10. Shen, G., Fu, W., Guo, H., Liao, J. (2022). Water body mapping using long time series Sentinel-1 SAR data in Poyang Lake. Water, 14, 1902.
    [Google Scholar]
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