With all parameters for the model collected, a potential soil loss map was generated. Generating this map required the execution of the revised RUSLE model in Equation (2) by multiplying all determined variables together through the Raster Calculator. The R factor, provided by OMAFRA only required the use of the Resample to match cell sizes, but LS and K data required pre-processing. LS was determined using an equation discussed by Belasri & Lakhouili (2016):
(3) S = ([Flow Accumulation Map] * [Cell Size]/22.13)0.4 * (sin ([Slope Map)/0.0896))1.3
Equation (3) required a Flow Accumulation map, collected using ArcGIS’ Flow Accumulation tool, the raster cell size used, and a slope map derived from the watershed DEM using ArcGIS’ Slope Tool and run through the Raster Calculator. K values were delivered in the form of a vector layer containing a location’s associated value and required the conversion of vector polygons provided by OMAFRA to raster using the Polygon to Raster tool, as well as the Resample tool to achieve the desired cell size. Due to the RUSLE model already considering the influence each component has on erosion, the parameters did not require a weighting scheme.