In continuation with techniques specified by OMAFRA, the gullies located at or above the 95th percentile were considered as they will be the largest detectable (Saurette & McKague, 2019). The location and size of the predicted gullies were then visually compared to aerial imagery but did not perform any statistical analysis. This allowed for the tool’s predictive accuracy to be assessed when applied to the identification of sites with potentially high gully erosion. The Whitebox GAT files were imported to ArcMap to then be compared with ESRI’s Imagery base map. The Stream Power Index layer’s transparency was set to 70% to evaluate the cohesiveness between the stream networks and gulley network present in the imagery base map.