GeoCue’s repository of articles covering tools, tips, and workflows for processing point clouds in LP360 Geospatial.
An important evaluation to make when performing a QAQC analysis of a LIDAR data set is a control point comparison. When discussing control points and LIDAR data, there are typically two types of points that need to be considered independently. Control Points: The monuments or markers used to control the LIDAR collection or validation point…
LP360 uses “stamps” for Point Cloud Tasks (PCT) and “brushes” for manual data reclassification. The stamps of the PCT include a single circular stamp and a single square stamp. The paint brushes include small, medium and large brushes. But did you realize that these are actually “templates”, the size of which you can modify? Read…
LIDAR data often contains many attributes in addition to the simple positional information for the individual returns. One useful attribute in the classification of LIDAR points is the intensity. The intensity represents the magnitude of the return pulse and is recorded as an integer value within the LAS format. The intensity information is what is…
A demonstration of LP360’s Model Keypoints algorithm. The Model Key Point Point Cloud Task can be summarized best if you consider all the points in your DEM and for each one, remove the point and look at the amount of deviation that occurs with the surface. If that deviation exceeds the the limit you set…
