Early Warning (EW) is commonly understood as the forecasting of a potentially catastrophic event. The effective use of data for EW plays a vital role in failure management, encompassing tasks like vulnerability mapping, forecasting, warning systems, prevention, planning, and the execution of actions. This study introduces an Early Warning Protocol (EWP) to tackle the potential failure of the Shiadeh Earth Dam in Iran. The Dam was commissioned in 1999 and, in 2004, experienced a landslide at the downstream left abutment and the downstream slope. All installed monitoring instruments failed, meaning no deformation data has been recorded. Consequently, the Radial Basis Function (RBF) algorithm was employed to predict the Dam's settlement. Satellite imagery was utilized for monitoring and controlling the Dam's settlement, and a 3D PLAXIS model was used to review and evaluate the Dam's performance under various reservoir conditions during different seasons, including static and dynamic states. In this study, several comprehensive phases were conducted to ensure the reliability and validity of the proposed protocol. According to the analysis results, the action plan was recognized as the central element of the EWP. Furthermore, the study highlighted that the steps of observing, planning, decision-making, and acting are essential prerequisites for the proposed protocol. By integrating satellite monitoring, numerical modeling, radial basis function algorithms, and geodetic surveying of micro-geodetic points and the Dam crest alignment, this study presents an innovative and reliable protocol for monitoring the Shiadah Earth Dam. This approach can play a significant role in enhancing safety and reducing the risk of Dam failure. Moreover, the method is applicable to all Earth and concrete Dams across the country. The assessment results indicate that the Dam is currently at alert level 2 (caution status).