I've received a surface with comments, among which is a request to thin the LIDAR data to 5 points per square meter. Is there a good way to correlate the InRoads thinning parameters to hit that target point density or is it a trial and error thing? Maybe more to the point, is there a way to measure/verify the point density of a particular feature type within the surface?
Hi Michael,
A solution is to use spatial filtering from point cloud (LIDAR) tools.When importing your Point cloud file, you have option to filter the data, indicating the target number of points per cubic meter.Not square meters, cubic meters, but for usual terrains this target density would lead to similar results.
I did a quick test and a sample measure gave 487 points (I should I have obtained 500 points).
So depending on actual Terrain format, you may export it to XYZ then import it as a point cloud.ORD Terrain from point cloud tool has filtering options that work "smarter" (trying to detect "edges") but won't give target density.
Another option would be to export a fixed grid terrain, exporting a DEM, the resolution will control density with exact square grid points.https://communities.bentley.com/products/road___site_design/f/geopak-inroads-mx-openroads-forum/145947/how-to-export-dem-from-tin/702371#702371
Export DEM, then re-create TM from DEM.
Vincent RAULT [Bentley]