This article analyzes the spatial-temporal distribution of vegetation cover in Khorezm region during the 2025 growing season using 10-meter spatial resolution Sentinel-2A/B multispectral data and the Normalized Difference Vegetation Index (NDVI). By leveraging Google Earth Engine and QGIS platforms, cloud-contaminated and anomalous pixels were filtered and the results were classified into five vegetation categories. The study reveals that sparse vegetation areas (37.74%) constitute the largest share, primarily due to desertification, water scarcity, and soil salinization. Productive vegetation zones are predominantly located along the Amudarya basin and irrigation networks. The findings substantiate that NDVI and Sentinel-2A/B based monitoring is a highly accurate and efficient technology for managing arid land vegetation.