Objective 4: Evaluate the model by validating the results with field data and accessing the limitations of the furrow identification process
While it would be preferable to compare the results of the model with pre-existing spatial data concerning tillage practices, those data do not exist or are private. Instead, a comparison would have to be made to aggregate spatial data concerning tillage practices that is available through Statistics Canada. While information concerning individual farms is not accessible, it should be possible to compare the results of the model with the expected percentage of tilled farm land within Northumberland County.
Many agricultural areas have not yet been scanned using aerial LiDAR technology but do have coarser resolution DEMs available. Given the importance of identifying and cataloguing tillage activities, raster models with a larger grid cell size are run through part of the process from Objective 3 to test at what spatial-resolution the process is effective to. Specifically, DEMs based on orthoimagery and topographic maps, such as those created from the South-Central Ontario Orthophotography Project (SCOOP) are considered. The raster models derived from the LiDAR point cloud can also be down sampled at specific intervals to test the limits of the developed methods, or be interpolated using different methods.