199 articles LP360 Tools, Tips and Workflows Page 2 / 20

Information regarding the tools available in LP360.

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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Extracting Header Attributes

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…

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Extracting Point Counts

About Extracting Point Counts When using the Point Cloud Statistics Extractor one may toggle various point counts that are tallied during the summarizing of the point cloud. The following describes the type of point counts you may export and each field name associated with that count: Point Count (PntCnt): the number of total points used…

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Classify Non-Visible Points

The new “Classify Non-Visible Points” mode introduced in LP360 2016 allows the user to choose whether or not they classify non-visible points. Example:  Water is off in the display filter, everything else is on.  In the Selection filter all classification classes are on. Case 1:  Toggle set to not classify non-visible points. Result: Only selected…

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Loss of Conflation Features

  Sometimes, when a Conflation Type Point Cloud Task is executed for multiple features, it can appear to delete executed features when the feature type is changed.  This occurs when the PCT is configured to run using Tool Geometry and the Output mode is “Append”, and the user changes the type of feature being created.…

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Classify by Feature as a Surface

One use of the Classify by Feature functionality is that you can apply a buffer to the feature and reclassify the points that fall within the XY buffer.  If you use the feature as a surface instead then it activates the buffer in the Z axis, instead of the XY. When your input shape is 3D…

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LP360 2017.1 Feature Matrix

LP360 is a family of point cloud exploitation tools for both native Windows (“standalone”) and the ArcGIS® desktop platform. LP360 for ArcGIS is the world’s most popular point cloud (such as LIDAR and dense image matching) visualization, editing and information extraction tool set for ArcGIS®. It is available directly from GeoCue Group Inc.1 (www.geocue.com) and…

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ASCII Raster Files (*.asc)

As taken from the ArcView™ 3.2 Help System The ASCII Raster File format is a simple format that can be used to transfer raster data between various applications. It is basically a few lines of header data followed by lists of cell values. The header data includes the following keywords and values: ncols – number…

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