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ANALYSIS OF VEGETATION DYNAMICS BASED ON THE SAVI INDEX IN CHIRAKCHY DISTRICT OF KASHKADARYA REGION, UZBEKISTAN

📘 Volume 14 📄 Issue 6 📅 June 2026

👤 Authors

Obidjon Arabov 1 , Mohira Kurambaeva 2 , Maftuna Abdirakhmonova 3
1. Senior Lecturer, National University of Uzbekistan, Uzbekistan,
2. Head, Research Institute of Environmental and Nature Protection Technologies, Uzbekistan,
3. Master's student, National University of Uzbekistan, Uzbekistan,

📄 Abstract

This article analyzes the state of vegetation cover in the Chirakchi district of the Kashkadarya region and its dynamic changes between 2020 and 2025 based on the SAVI (Soil Adjusted Vegetation Index) index. The study utilized remote sensing data (Landsat 8-9 images) and GIS technologies. The use of the SAVI index made it possible to obtain high-precision results, especially in conditions of sparse vegetation, by reducing the influence of soil color. The results served to determine the spatial distribution of vegetation density, degradation and restoration processes in the region. The obtained data are of great importance for environmental monitoring, the efficient use of land resources, and agricultural planning.

🏷️ Keywords

SAVI vegetation index remote sensing GIS Chirakchi District vegetation cover degradation monitoring

📚 How to Cite:

Obidjon Arabov, Mohira Kurambaeva, Maftuna Abdirakhmonova , ANALYSIS OF VEGETATION DYNAMICS BASED ON THE SAVI INDEX IN CHIRAKCHY DISTRICT OF KASHKADARYA REGION, UZBEKISTAN , Volume 14 , Issue 6, June 2026, EPRA International Journal of Economic Growth and Environmental Issues (EGEI) , Pages: 1 - 7 ,

🔗 PDF URL

https://cdn.eprapublishing.org/article/1781718858380-1.EPRA30562.pdf

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