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Water availability becomes a limiting factor when irrigation do not consider crop water requirements and the spatial variability of edaphic properties. The aim of this research was to assess the effectiveness of geophysical data, specifically apparent electrical conductivity (ECa) and multispectral data based on the Normalized Difference Water Index (NDWI) from Sentinel-2A to delineate site-specific management zones (SSMZs) in five paddy rice fields in the UsoCoello irrigation district, Tolima, Colombia. The collected data underwent exploratory analysis to identify outliers and inliers. Geostatistical techniques were employed to describe the spatial variability of ECa measurements. Fuzzy k-means was performed to categorize the SSMZ, where the optimal number of SSMZs was determined. NDWI and ECa were positively correlated (6–31% correlation) for most of the fields to slightly higher negative correlation (3–46%) being statistically significant (p < 0.05), while the multispectral bands showed strong correlation with the vegetation index, they presented negative correlation with ECa. The spatial structure was analyzed by semivariograms, and fitted by spherical, gaussian and exponential models showing a high cross-validation coefficient (CVC) of 91%, 97.5%, 76%, 70%, and 90% for field 1 to field 5, respectively. Two MZs were selected, providing further evidence of the effectiveness of integrating geophysical and multispectral data in delineating these zones.

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Integrating Geophysical and Multispectral Data for Site-Specific Irrigation Management Zones of Paddy Rice in Colombia

  • 会议论文

  • 发表日期：

    2026年

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  • Sofiane Ouazaa,
  • Nesrine Chaali,
  • Carlos Manuel Ramirez,
  • Sarah Garré,
  • Oscar Barrero Mendoza,
  • Camilo Ignacio Jaramillo Barrios

摘要

Water availability becomes a limiting factor when irrigation do not consider crop water requirements and the spatial variability of edaphic properties. The aim of this research was to assess the effectiveness of geophysical data, specifically apparent electrical conductivity (ECa) and multispectral data based on the Normalized Difference Water Index (NDWI) from Sentinel-2A to delineate site-specific management zones (SSMZs) in five paddy rice fields in the UsoCoello irrigation district, Tolima, Colombia. The collected data underwent exploratory analysis to identify outliers and inliers. Geostatistical techniques were employed to describe the spatial variability of ECa measurements. Fuzzy k-means was performed to categorize the SSMZ, where the optimal number of SSMZs was determined. NDWI and ECa were positively correlated (6–31% correlation) for most of the fields to slightly higher negative correlation (3–46%) being statistically significant (p < 0.05), while the multispectral bands showed strong correlation with the vegetation index, they presented negative correlation with ECa. The spatial structure was analyzed by semivariograms, and fitted by spherical, gaussian and exponential models showing a high cross-validation coefficient (CVC) of 91%, 97.5%, 76%, 70%, and 90% for field 1 to field 5, respectively. Two MZs were selected, providing further evidence of the effectiveness of integrating geophysical and multispectral data in delineating these zones.