This article examines monitoring seasonal changes in reservoir area based on Sentinel-2 data using the Google Earth Engine platform and the NDWI water index based on a time series for 2024, 2025, and the first three months of 2026. A comparative analysis of intra-annual and interannual water surface dynamics was performed, which allowed us to identify seasonal patterns in reservoir area changes and assess the differences between the studied periods. The scientific novelty of the work lies in the integrated application of automated satellite data processing, NDWI calculation, and comparison of long-term time series in a unified geographic information environment to quantitatively assess the reservoir's seasonal variability. The results of the study have practical significance for remote monitoring of water resources, assessing the hydrological state of the territory, and supporting decisions in the field of environmental monitoring and nature management.
| Mualliflar | Фаттаева, Д.А. |
|---|---|
| Jurnal | Рақамли технологияларнинг назарий ва амалий масалалари |
| Nashr sanasi | 2026-03-30 |
| Jild | 9 |
| Son | 1 |
| Betlar | 132-138 |
| Til | Rus |
| DOI | 10.62132/ijdt.v9i1.358 |
DOI: 10.62132/ijdt.v9i1.358 · Maqolaning asl sahifasi
Sentinel-2, Google Earth Engine, NDWI, дистанционное зондирование, водоём, сезонная динамика, временной ряд, площадь водной поверхности, спутниковый мониторинг, Sentinel-2, Google Earth Engine, NDWI, remote sensing, reservoir, seasonal dynamics, time series, water surface area, satellite monitoring4
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