GeoCue’s repository of articles covering tools, tips, and workflows for processing point clouds in LP360 Geospatial.
A Ground Control Point (GCP) is a monumented point for which geodesic coordinates are known with a controlled accuracy and precision. It can be provided by a National Geodetic Authority or made by the user. Several topographic survey techniques can be used to determine the coordinates of a GCP (GNSS, geodetic network adjustment from distance,…
There are many tools and keyboard shortcuts that exist within the LP360 product suite, including LP360 for ArcGIS, LP360 Geospatial, LP360 for sUAS, TrueView EVO/LP360 Drone. Remembering all of them and where to find them may prove difficult, particularly for beginner or casual users. To help we’ve created tool guides that provide the names of…
In configuring a set of control points or check points for use in the LP360 Control Points Toolbar it is best to follow the convention below to make the most use of the Drive Mode shortcuts available within the toolbar for navigation and filtering. The fields either need to exist in the shapefile or may…
LP360 contains a number of “non-obvious” commands (usually keyboard activated shortcuts). This page has been updated for LP360 v2022.1. General: Live View – When opened in one view can be left open and by clicking the Live View button in a different view the settings will change to that view’s current stateChange Languages – See the separate…
While exporting data from LP360 using the Export Wizard a COM Exception, “Exporting LAS files failed (22684)”, is encountered. “Caller’s Message:Exporting LAS files failed. (22684)Exception Information:HRESULT: 0x80004005Unable to retrieve extended COM error information.” Is there another file in that location with the same name? Do you have any LAS files that contain only a single…
What is a Point Cloud Task (PCT)? A function (Extract ground, Conflate Line) that operates on points, rasters, and/or vectors. A task can be a filter and/or an extractor. A filter classifies or changes the classification values for points (e.g. classify ground). An extractor extracts information from the point cloud data into vector, image or…
Relative vertical accuracy, or flight line offsets, or the swath-to-swath fit between flight lines or drive passes can be qualitatively assessed using dz images. Or quantitatively assessed by exporting and analyzing the values. The USGS LiDAR Base Specification has evolved over the years with some different recommendations for evaluating interswath (overlap) consistency, and there are…
Attempting to save an LP360 project results in “An error occurred updating the Project Catalog with Project:”, followed by “Detail: Error: Unable to open Projects File. Project not added to list. C:\ProgramData\LP360\PMProjects.json”. The global projects file, “%ProgramData%\LP360\PMProjects.json”, used by the LP360 Project Manager was created with administrator permissions when LP360 or TrueView EVO first launched…
Some LP360 Point Cloud Tasks (PCT’s) were originally designed for older manned lidar datasets, which have significantly lower point density than modern sUAS datasets. TrueView and other sUAS sensors have the capability of producing much denser point clouds, so these processes can take much longer if running on the entire dataset. A common strategy and workflow…
Classify by Elevation Quartiles In the Classify by Statistics PCT, the user can set the output of outliers and quartile classification using the standard output class/flag dialog. A little info regarding quartiles: https://byjus.com/maths/quartiles/. The section applicable to Quartile classification is shown in Figure 1: This classifier works as follows: The area to be processed (as determined…
