Author: Oymatov, Rustam Kamariddinovich; Masharipov, Siyovush Ochilbek ogli

Annotation: Remote sensing and geographic information systems (GIS) are widely used tools for monitoring agricultural land and vegetation dynamics. This study assesses spatial-temporal changes in vegetation cover in the Yuqori Chirchiq district of Tashkent region, Uzbekistan, using the Normalized Difference Vegetation Index (NDVI) derived from Landsat satellite imagery. NDVI maps were generated for the summer seasons from 2020 to 2025 to analyze vegetation condition and its temporal variation. The study area was delineated using administrative boundaries, and NDVI values were classified into moderate and dense vegetation categories. Quantitative analysis was performed based on pixel statistics to evaluate changes in vegetation coverage over time. The results indicate relatively stable vegetation conditions with minor interannual fluctuations, reflecting the influence of agricultural practices and seasonal variability. The proposed approach demonstrates the effectiveness of integrating remote sensing data and GIS techniques for agricultural land monitoring at the district level and can be applied to similar regions for environmental and land-use assessment.

Keywords: Remote sensing; GIS; NDVI; Vegetation monitoring; Agricultural land; Yuqori Chirchiq district.

Pages in journal: 486 - 494