In order to reduce the vulnerability of "on-site" soil erosion, the development of remote sensing techniques to identify active tillage areas are needed for better soil management practices. This project processed data from the OMNRF's Peterborough LiDAR dataset obtained aerially from Northumberland County, and developed a model to identify furrows within the established tilled land areas. The proposed model was designed around utilizing WhiteboxTools' MaxAnistrophyDev tool. Overall, the model performed poorly at identifying the furrow/ridge systems based on their shape. The model mis-identified areas without tillage as being strongly anisotropic, and a difference could not be detected using statistical analysis of the output rasters. Even when the grid cell size was decreased the identification of furrows did not improve. While the results of the model were unusable overall, portions of the model create a solid framework for conducting future research. Further adjustment and improvements to the identification process will be imperative in order to combat increasing soil erosion rates for farmers in Ontario.