<p>Water erosion is one of the primary reasons for soil deterioration in Algeria. It is seriously affected by its detrimental effects on land productivity, hydrologic infrastructure security, and the instability of ecosystems. Soil erosion rate assessment and spatialization have become a requirement. Therefore, the main objective of this study is to model soil water erosion in the hydrographic basin of Oued Mebtouh in western Algeria using a geographic information system (GIS), remote sensing, and the revised universal soil loss equation (RUSLE). All modeling tasks have been automatized within the Model Builder tool of ArcGIS software. Thus, the effects of the various RUSLE model factors are examined. The results showed a mean rate and total soil loss of 6.39 ton&#xa0;h⁻¹&#xa0;year⁻¹ and 301 × 10³ ton&#xa0;year⁻¹, respectively, with an annual soil loss rate ranging from 0 to 224.55 ton&#xa0;h⁻¹&#xa0;year⁻¹. Five classes were used to categorize the different levels of soil erosion, where 15.1% of the study area is considered highly vulnerable to erosion, 12.3% is at moderate risk, and 7% is at low risk. Furthermore, the validation of the predicted soil loss with the ROC/AUC curve method exhibits a strong performance with a score of 85.44%. The correlation between the RUSLE factors and the estimated soil loss shows that the topographic factor is the main influential factor. The produced maps will serve as a foundation for making effective recommendations fighting erosion for sustainable watershed management.</p>