REMOTE SENSING EVALUATION OF CLIMATIC FACTORS INFLUENCING AGRICULTURAL CROP GROWTH IN THE BUKHARA REGION
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This research examines how key climatic variables influence cotton crop development through remote sensing data analysis. The study, conducted in the Bukhara region, explores the relationships between vegetation indices (NDVI, EVI, MNDWI, SAVI) and climatic parameters such as land surface temperature, air temperature, precipitation, solar radiation, and reference evapotranspiration (ET₀). Pearson correlation analysis revealed that crop growth had significant negative correlations with air temperature and evapotranspiration, whereas precipitation and solar radiation were positively correlated with vegetation indices. The findings demonstrate the potential of combining remote sensing and climatic data for effective crop monitoring and yield prediction in arid regions.
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