As higher resolution Digital Elevation Model (DEM) data has become available, more accurate stream flow networks depicting flowpaths through a field generated from GIS hydrologic simulation modeling of agricultural surface runoff have identified an area of Vegetative Filter Strip (VFS) buffer runoff interception performance deficiency. The simulated flow networks derived from 30m resolution DEM data varies greatly from the ground-truthed flow network due to the occurrence of rills and gullies. If VFS designs are to be modified to manage the concentrated runoff flow, researchers need to have reliable and manageable means with which to develop these flow models. The technique of utilizing airborne LiDAR data, which has been shown to be both horizontally and vertically accurate within acceptable parameters, may be an accurate data source with which to derive these stream flow networks. This project examines a 5x5m grid resolution LiDAR DEM (derived from 1x1m resolution dataset) to an on-site collected, 5x5m resolution stream flow network. The resulting Coefficient of Linear Correspondence (CLC) ratio between the two stream flow networks was lower than anticipated, indicating a greater deviation of the LiDAR derived flowpath from the true flowpath than expected. Additional research is required to determine the nature of these deviations.