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<p>This study presents an implementation of the Agricultural Drought Vulnerability Index (ADVI) using Google Earth Engine to assess drought vulnerability in semi-arid agricultural regions. The methodology integrates three key components: An Exposure Index utilizing CHIRPS rainfall data, a Sensitivity Index derived from NDVI data, and an Adaptive Capacity Index incorporating soil moisture data, terrain characteristics, and water body proximity. Applied to Rajasthan, India for 2015, the analysis reveals a distinct east-west Agricultural Drought Vulnerability Index with western districts showing the highest vulnerability (Jaisalmer: 0.78, Barmer: 0.75). District-level classification shows 6 districts (18.8%) falling under Very Low vulnerability covering 13.2% of area, 16 districts under Low vulnerability spanning 34.6% of area, 5 districts (15.6%) experiencing Moderate vulnerability across 18.8% of area, and 5 districts (15.6%) facing High vulnerability affecting 33.5% of area. This agricultural drought vulnerability assessment enables targeted interventions including customized crop insurance programs and district-specific drought management strategies through the framework’s automated processing and near real-time monitoring capabilities.</p>

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Development of an agricultural drought vulnerability index for risk assessment, insurance pricing, and disaster management through Google Earth engine

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年8月25日

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  • Shemin T John,
  • Merin Susan Philip

摘要

This study presents an implementation of the Agricultural Drought Vulnerability Index (ADVI) using Google Earth Engine to assess drought vulnerability in semi-arid agricultural regions. The methodology integrates three key components: An Exposure Index utilizing CHIRPS rainfall data, a Sensitivity Index derived from NDVI data, and an Adaptive Capacity Index incorporating soil moisture data, terrain characteristics, and water body proximity. Applied to Rajasthan, India for 2015, the analysis reveals a distinct east-west Agricultural Drought Vulnerability Index with western districts showing the highest vulnerability (Jaisalmer: 0.78, Barmer: 0.75). District-level classification shows 6 districts (18.8%) falling under Very Low vulnerability covering 13.2% of area, 16 districts under Low vulnerability spanning 34.6% of area, 5 districts (15.6%) experiencing Moderate vulnerability across 18.8% of area, and 5 districts (15.6%) facing High vulnerability affecting 33.5% of area. This agricultural drought vulnerability assessment enables targeted interventions including customized crop insurance programs and district-specific drought management strategies through the framework’s automated processing and near real-time monitoring capabilities.