MASOFADAN ZONDLASH MA'LUMOTLARI ASOSIDA SUV OBYEKTLARINI ANIQLASH (NDWI indeksi yordamida)

This article provides a comprehensive analysis of the NDWI (Normalized Difference Water Index) methodology widely used in remote sensing technologies for the detection and monitoring of water bodies using satellite imagery. The study examines the physical foundations of the NDWI index, its mathematical formula, adaptation to various satellite platforms, and integration with Landsat, Sentinel-2, and MODIS data. The effectiveness of NDWI in monitoring water resources in the Aral Sea basin and Amu Darya catchment area in Uzbekistan is evaluated. The article also covers a practical algorithm for NDWI computation on the Google Earth Engine platform, result classification, and accuracy assessment metrics.

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