Cropland evapotranspiration based on Sentinel-2 shortwave infrared data and ensemble Kalman filter

Key Points

• Evapotranspiration was accurately estimated using shortwave infrared data, enhancing water-use efficiency.
• The study reported an R-squared value of 0.85 based on the evaluation with ground-truth measurements.
• Analysis using the ensemble Kalman filter improved data assimilation for better modeling outcomes.
• These findings support advanced monitoring methods, which may lead to sustainable agricultural practices.