LP360 now has a full set of feature analysis and editing tools for working with the geometries of features – points, lines and polygons – in your project[1]. As often happens with LP360 features, the initial driver for adding this capability was a very specific problem; editing the toes of stockpiles being used in volume…
In the new ASPRS Positional Accuracy Standards for Digital Geospatial Data, low confidence areas within LIDAR data are defined to be where the bare earth model might not meet the overall data accuracy requirements. Generally speaking with LIDAR data this can occur where there is heavy vegetation that causes poor penetration of the pulses. If…
As with any data, breaklines should undergo a QA/QC process. For breaklines this should entail a check for potential topology errors as well as incorrect elevation values. Since breaklines are used to define and control surface behavior in terms of smoothness and continuity they may have a significant effect when incorporated in a surface model.
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…
