205 articles LP360 Tools, Tips and Workflows Page 2 / 21

Information regarding the tools available in LP360.

zLAS File Format

Files with a zLAS extension are usually the ESRI proprietary LAS compression format. The ESRI LAS Optimizer improves archiving, sharing, and use of LAS format LIDAR. Optimization is accomplished in several ways: Lossless compression Spatial indexing Statistics generation The compression ratio the optimizer can achieve is typically much better than generic compressors. This is because…

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LP360 Command Line Executables

LP360 has several command line executable style programs that assist with productivity for different tasks, particularly when working with large amounts of data or repeating processes. These executables may be run: Via an MS-DOS style batch scripts By configuring corresponding commands and checklist steps within the GeoCue workflow software to take advantage of the command…

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Point Cloud Tasks

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,…

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Edit ShapeFile Attributes in LP360 Standalone

Beginning with version 2017.1 of LP360, users have the capability to edit the attributes (Add fields and values) of shapefiles. In LP360, fields are added/removed via the Schema Editor and values modified using Feature Analyst: The Schema editor is used to manage the fields of the shapefile, hence it is used to add/remove fields: A…

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Classification in LP360 Using Shapefiles

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.…

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Error: Failed to find an input LAS file (27274)

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.…

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Generate Points for Waterbodies in LP360

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…

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Monochromatic/Hillshade Displays in LP360

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…

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Summarizing Individual Point Attributes

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…

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Extracting Point Densities, Nominal Point Spacing, and Area

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…

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