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The study developed the Agricultural Performance Index (API) by applying Sentinel-1, C-band, Synthetic Aperture Radar, Ground Range Detected, log scaling (SAR-GRD-LS) for crop monitoring. The parameters like normalized crop growth (0.81–0.85), normalized crop health (0.24–0.83), and normalized soil moisture (0.73–0.89) are estimated by the SAR using the cloud platform Google Earth Engine (GEE), and the result of the API is 0.62–0.83. The validation has been done by ground-based Kharif yield data using ROC-AUC (0.93) and correlation (0.84), and cross-checking is done by flood index and ground photographs; along with that, the sensitivity analysis has been performed for understanding the influencer. API helps farmers with crop health monitoring and customizes their fertility utilization, which will be cost-effective precision agriculture.

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Developing the Agricultural Performance Index (API) Using the Open-Source SAR Data on Google Earth Engine (GEE): A Study in Paschim Medinipur of West Bengal, Eastern India

  • 会议论文

  • 发表日期：

    2026年

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  • Subrata Maity,
  • Chhanu Sutradhar,
  • Brototi Biswas,
  • Jayanta Das,
  • Satiprasad Sahoo,
  • Ajit Govind

摘要

The study developed the Agricultural Performance Index (API) by applying Sentinel-1, C-band, Synthetic Aperture Radar, Ground Range Detected, log scaling (SAR-GRD-LS) for crop monitoring. The parameters like normalized crop growth (0.81–0.85), normalized crop health (0.24–0.83), and normalized soil moisture (0.73–0.89) are estimated by the SAR using the cloud platform Google Earth Engine (GEE), and the result of the API is 0.62–0.83. The validation has been done by ground-based Kharif yield data using ROC-AUC (0.93) and correlation (0.84), and cross-checking is done by flood index and ground photographs; along with that, the sensitivity analysis has been performed for understanding the influencer. API helps farmers with crop health monitoring and customizes their fertility utilization, which will be cost-effective precision agriculture.