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This study presents an innovative approach to mapping rice cultivation patterns and assessing drought conditions in Tra Vinh province, Vietnam, using multi-temporal Synthetic Aperture Radar (SAR) data from the Sentinel-1 satellite and Vegetation Health Index (VHI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. The research was conducted over the period 2014–2021 and made use of the Google Earth Engine (GEE) cloud computing platform. The findings reveal a dominant prevalence of triple rice cropping, which occupies approximately 75% of the total rice cultivation area in the province. Further, there was a significant interannual variability in drought severity, with particularly severe conditions observed in 2015 and a resurgence in 2020/2021. Over the study period, there has been a concerning trend of an increasing area affected by mild and moderate drought conditions. The study highlights the potential of remote sensing techniques, particularly SAR data, in monitoring agricultural systems in tropical regions with frequent cloud cover. The results provide critical insights that can inform sustainable agricultural planning, water resource management, and climate change mitigation strategies in Tra Vinh province and similar rice-producing regions. Future research should consider integrating multi-sensor data sources for enhanced accuracy in rice crop classification and drought assessment.

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Drought Assessment in Paddy Rice Fields Using Multi-temporal SAR Data of Sentinel-1: A Case Study in Tra Vinh Province

  • 会议论文

  • 发表日期：

    2025年

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  • Tien Duy Pham,
  • Diep Thi Hong Nguyen,
  • Can Trong Nguyen

摘要

This study presents an innovative approach to mapping rice cultivation patterns and assessing drought conditions in Tra Vinh province, Vietnam, using multi-temporal Synthetic Aperture Radar (SAR) data from the Sentinel-1 satellite and Vegetation Health Index (VHI) derived from Moderate Resolution Imaging Spectroradiometer (MODIS) data. The research was conducted over the period 2014–2021 and made use of the Google Earth Engine (GEE) cloud computing platform. The findings reveal a dominant prevalence of triple rice cropping, which occupies approximately 75% of the total rice cultivation area in the province. Further, there was a significant interannual variability in drought severity, with particularly severe conditions observed in 2015 and a resurgence in 2020/2021. Over the study period, there has been a concerning trend of an increasing area affected by mild and moderate drought conditions. The study highlights the potential of remote sensing techniques, particularly SAR data, in monitoring agricultural systems in tropical regions with frequent cloud cover. The results provide critical insights that can inform sustainable agricultural planning, water resource management, and climate change mitigation strategies in Tra Vinh province and similar rice-producing regions. Future research should consider integrating multi-sensor data sources for enhanced accuracy in rice crop classification and drought assessment.