Abstract
This article examines the dynamics of vegetation cover in the Almaty Region using geoinformation technologies and Earth remote sensing data. The focus is placed on the application of the NDVI index derived from Sentinel-2 satellite imagery to assess the state and changes of vegetation in 2015, 2020, and 2023. The methodological framework included data preprocessing, calculation of the vegetation index, classification of territories by productivity levels, and cartographic visualization of results in QGIS and ArcGIS environments. The analysis revealed a reduction in areas with high NDVI values alongside an increase in territories with low index values, indicating degradation processes in the region’s agricultural lands. The results allow for a more detailed assessment of spatial patterns of vegetation dynamics, identification of ecological risk zones, and determination of areas with restoration potential. The study confirms the importance of NDVI and GIS technologies for organizing monitoring and supporting decision-making in the field of sustainable land management.
01 Introduction
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02 References
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