Tab on LIDAR point cloud analysis form. Creates a new grid or grids that matches the DEM covering the map. Some options require you to have or create a DTM.
Grid size (m)
Auto fill holes: remove small voids, up to radius of max gap (grid cells)
Force UTM zone: if no zone is set, it will use the zone of the currernt map. You should only change if you want to use an adjacent UTM to match other data.
Word densities: by default these will be stored in bytes (max 255); set this if you need up to 65K points.
Filter the LAS data first by classification code (Stats tab, Split by class) if the data has a good classification applied.
|Points density, building category only. Zero values removed by marking as missing. The colored pixels show points per square meter, classified in the LAS data. This category generally appears to be fairly accurate. Almost all points will be on roofs.|
|Points density, medium vegetation category only. Zero values removed by marking as missing. The colored pixels show points per square meter, classified in the LAS data. This category appears to be fairly accurate for the high density points, but a number of the lowest density points are actually buildings.|
Last revision 4/10/2018