The density of point clouds (usually expressed as points per square meter) is increasing on what seems to be a monthly basis. This is particularly true of point clouds derived from Dense Image Matching (DIM), the clouds produced from software such as PhotoScan, Pix4D, DroneDeploy and so forth.
You can quickly check the density of a point cloud in LP360 using the Point Cloud Task (PCT), Point Cloud Statistics Extractor. Figure 1 shows this PCT set up to collect Point Count and Point Density.
When I run this on a demonstration mine site we collected using PhotoScan Pro to generate the dense point cloud, I get about 186 points per meter squared (pts/m2) -see Figure 2. Note that the Point Cloud Statistics Extractor conveniently also provides the nominal point spacing (NPS); for this case, about 7.3 cm.
Read complete article: Automatic Ground Classification of Dense Point Clouds in LP360