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This is a Cohort Study study (also classified as: Quantitative Study).

September 16, 2025WaterOpen Access

Evapotranspiration Estimation in the Arab Region: Methodological Advances and Multi-Sensor Integration Framework

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Analysis reviews ET estimation techniques in the Arab region, indicating a shift towards data-driven methods.

Evapotranspiration estimation remains essential for addressing water scarcity in arid regions.
Traditional methods dominate approximately 70% of ET literature, primarily using the Penman-Monteith model.
Machine learning applications are emerging but are concentrated in only a few Arab countries.
The results show a significant potential for integrating ML-based modeling into climate resilience frameworks.

Ahmed et al. (2025) studied this question.

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