Evapotranspiration (ET) is pivotal in the global water balance, necessitating precise estimation, especially in arid climates for optimal water management and agricultural productivity. This study employs advanced remote sensing techniques and four key & IEcy;& Tcy;SEB models (SEBAL, METRIC, SEBS, SSEBI) to explore water dynamics in challenging environments. Rigorous verification, utilizing Eddy Covariance (EC) and Penman-Monteith (PM) models, ensures a comprehensive assessment of model accuracy. Conducted in Riyadh's arid At-Tawdihiya farm, the study reveals daily mean estimated ET values for SEBAL (6.9 mm/day), METRIC (10.8 mm/day), SEBS (13.6 mm/day), and S-SEBI (11.7 mm/day), compared to daily measured & IEcy;& Tcy;EC and calculated & IEcy;& Tcy;PM values of 13.5 mm/day and 9 mm/day, respectively. METRIC emerges as the most accurate model, followed by SEBAL, with S-SEBI and SEBS demonstrating lower accuracy. Comparison with calculated ET values shows excellent agreement for SEBAL and METRIC (RMSE of 2.0 mm/day and 1.4 mm/day). Temporal and spatial analysis highlights the SEB models' capacity to identify high ET areas, especially during irrigation. This analysis positions METRIC as the most suitable SEB model for arid regions. By presenting these findings within the arid context, the study significantly contributes to water resource management and agriculture in challenging environments. The innovative use of remote sensing and advanced & IEcy;& Tcy;SEB models establishes this research as a pioneering resource for sustainable water usage in arid climates, offering actionable insights for stakeholders grappling with water scarcity and harsh climatic conditions.