Rapid erosion is a complex problem that affects regional environments and economies worldwide. Soil erosion should be spatially evaluated to develop effective land management strategies. In recent decades, soil erosion models have been integrated with geographic information systems (GISs) for the temporal-spatial analysis of soil erosion transport. The Universal Soil Loss Equation (USLE) has been used in many countries, and its input parameter data have been well established. In this study, a GIS was used to generate accurate estimates of the spatial distributions of the USLE parameters. According to the modeling of soil erosion, the watershed of the Krueng Baro river exhibited a spatially varied level of erosion. The interaction between the USLE factors significantly influenced the average of annual rate of soil loss. Evidently, the regions experiencing severe and very severe soil loss were closely correlated with steep gradients and deforestation. The low and very low rates of soil loss were associated with conservation practices and protected areas. The results of this study can be used by decision makers and planners to simulate regional scenarios and design interventions to reduce erosion.