Data for: Modeling Extreme Climate Risks to Wheat Production and the Redesign of Crop Insurance

Description

This dataset contains wheat yield data, climate indices, and insurance records for Surkhandarya, Uzbekistan, used in the research study

Steps to reproduce

Data collection from NASA NDVI satellite archives and regional insurance records. Data cleaning and preprocessing using Python (pandas, numpy). Econometric modeling using Extreme Value Theory (EVT) to estimate wheat yield risks. Sensitivity analysis and code execution in Python/Google Colab.

Institutions

• Termez Institute of Engineering and Technology

  Surxondaryo Region, Termez

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