Information regarding the tools available in LP360.
Point Cloud Tasks What is a Point Cloud Task (PCT)? A function (Extract ground, Conflate Line) that operates on points 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,…
Beginning with version 2017.1 of LP360, Standalone users have the capability to edit the attributes (Add fields and values) of shape files in a similar manner to the editing of attribute tables in ArcGIS. In ArcGIS, this is accomplished by opening the shape flies attribute table and adding a field. Next, an edit session is…
Classify by Features is a useful way of assigning classifications to points using a spatial relationship to other features. Any vector layer that exists in the Map can be used to classify points that are either within a specified distance of polygon, linear, or point features or any points completely within a polygon feature. 1.…
There are many tools and keyboard shortcuts that exist within the LP360 product suite, including LP360 for ArcGIS, LP360 for Windows, LP360 for sUAS, and LP360 for GeoCue. 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…
When attempting to use the LDMerge.exe it fails with “Error: Failed to find an input LAS file (27274)”. This error is caused by the failure to specify the input files on the command line. The usage indicates this requirement to specify the input files by the “las_files” designation, but it is easily missed by users.…
Introduction In many cases there are not many LIDAR returns from the surface of waterbodies, and sometimes none at all. In some situations, it is useful to have points that can represent the surface of these waterbodies. LP360 can be used to generate points for these areas and mark them as synthetic points. Methodology Generate…
We have added a new monochromatic display mode in LP360 as well as rearranged the hillshade options to a more logical arrangement. A monochromatic display is just what it implies – a solid, single color display of all points regardless of attributes such as class or return number. This mode of display is ideal for…
About Summarizing Individual Point Attributes When using the Point Cloud Statistics Extractor , all attributes of the point cloud can be summarized using basic descriptive statistics such as minimum, maximum, mean, and standard deviation. The field codes used for each descriptive statistic is ‘MN’, ‘MX’, ‘AV’, and ‘SD’ respectively. The following lists the point attributes…
About Extracting Point Densities and Area When using the Point Cloud Statistics Extractor one may export point density and the area used to calculate those density values. There are two types of point densities to export; an overall point density and if grouping by an attribute, the density related to only those points within a…
Extracting Header Attributes About Extracting Header Attributes When using the Point Cloud Statistics Extractor one may use the Extract By Files option. One can then select a number of header attributes to save in the extracted summaries. The following is the current list of exportable header attributes and their corresponding field names: File name: FName…
