ASSESSMENT OF WATER SURFACE AND SHORELINE VEGETATION DYNAMICS OF THE CHARVAK RESERVOIR USING LANDSAT DATA
his study assesses water surface area and shoreline vegetation dynamics of the Charvak Reservoir in 2020–2025 using Landsat
8/9 imagery. MNDWI results show that the water area varied from 1922.1–2588.8 ha in April to 3592.2–3912.8 ha in July, with
the maximum seasonal difference reaching 1762.6 ha. NDVI maps indicate increased shoreline vegetation activity in July.
1. O‘zbekiston Respublikasi Prezidentining Farmoni. (2020). O‘zbekiston Respublikasi suv xo‘jaligini rivojlantirishning
2020-2030-yillarga mo‘ljallangan konsepsiyasini tasdiqlash to‘g‘risida. PF-6024-son, 10.07.2020. https://lex.uz/docs/-
4892953
2. O‘zbekiston Respublikasi Prezidentining Farmoni. (2023). “O‘zbekiston - 2030” strategiyasi to‘g‘risida. PF-158-son,
11.09.2023. https://lex.uz/docs/-6600413
3. Pekel, J.F., Cottam, A., Gorelick, N., & Belward, A.S. (2016). High-resolution mapping of global surface water and its
long-term changes. Nature, 540, 418-422. https://doi.org/10.1038/nature20584
4. Gafurov, A., Nurbatsina, A., & Kalashnikova, O. (2018). Water resources monitoring using remote sensing data in Central
Asia.
5. Ikramova, M., et al. (2023). Charvak reservoir modeling based on geoinformation systems. E3S Web of Conferences, 401,
02007. https://doi.org/10.1051/e3sconf/202340102007
6. U.S. Geological Survey. (2024). Landsat 8-9 Collection 2 Level-2 Science Product Guide.
https://www.usgs.gov/media/files/landsat-8-9-collection-2-level-2-science-product-guide
7. U.S. Geological Survey. (2022). Landsat Collection 2 Level-2 Science Products. https://www.usgs.gov/landsat-
missions/landsat-collection-2-level-2-science-products
8. 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, 17(7), 1425-1432. https://doi.org/10.1080/01431169608948714
9. Xu, H. (2006). Modification of normalized difference water index (NDWI) to enhance open water features in remotely
sensed imagery. International Journal of Remote Sensing, 27(14), 3025–3033. https://doi.org/10.1080/01431160600589179
10. Feyisa, G.L., Meilby, H., Fensholt, R., & Proud, S. R. (2014). Automated Water Extraction Index: a new technique for
surface water mapping using Landsat imagery. Remote Sensing of Environment, 140, 23-35.
https://doi.org/10.1016/j.rse.2013.08.029
11. Rouse, J. W., Haas, R.H., Schell, J. A., & Deering, D. W. (1974). Monitoring vegetation systems in the Great Plains with
ERTS. Third Earth Resources Technology Satellite-1 Symposium, NASA SP-351.
Copyright (c) 2026 «ACTA NUUz»

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.




.jpg)

1.png)




