Set LAS Class Codes Using Features (3D Analyst Tools)

Summary

Classifies LAS points that intersect the two-dimensional extent of input features.

Usage

• LAS points that intersect the two-dimensional position of the input points, lines, and polygons, along with any buffers, will be reclassified. To classify LAS points using three-dimensional distance from 3D features, use the Locate LAS Points By Proximity tool.

• The buffer distance is particularly important for points and lines, since it is less likely that a given LAS point will fall exactly on the line or have the same coordinate as the input point. The distance units applied for the buffer are based on the linear units of the LAS dataset's spatial reference.

• If the LAS dataset layer's points have been filtered, only the filtered points that intersect the input features will be reclassified. You can filter the LAS dataset layer using any combination of classification codes, classification flags, and return values using the Layer Properties dialog box or the Make LAS Dataset Layer tool.

• The class code labels provided in the LAS dataset's layer and catalog properties reflect the class designations outlined in the ASPRS LAS 1.4 specifications. This classification scheme is oriented for aerial lidar surveys and is comprised of the following:

  • Classes associated with predefined objects, for example, 2 represents ground

  • Classes whose values are not defined but reserved for later use by the ASPRS

  • Classes that can be allocated to any other object

  The LAS dataset layer's point filters, interactive editing options, and default symbology labels reflect the LAS format specification's class code labels.

  Learn more about lidar point classification.

Parameters

• Dialog
• Python

Label	Explanation	Data type
Input LAS Dataset	The LAS dataset that will be processed.	LAS Dataset Layer
Input Feature Class	One or more input features that will be used to define class code values for the lidar files referenced by the LAS dataset. The classification flag option default is No change but you can assign the flag using Set or remove it using Clear. Value table columns: Features—The features used for reclassifying LAS points. Buffer Distance—The distance that input features are buffered by prior to determining the LAS points that intersect the buffered area. New Class—The class code to be assigned. No change—No change will be made. 0—The class code of 0 will be assigned. 1—The class code of 1 will be assigned. 2—The class code of 2 will be assigned. 3—The class code of 3 will be assigned. 4—The class code of 4 will be assigned. 5—The class code of 5 will be assigned. 6—The class code of 6 will be assigned. 7—The class code of 7 will be assigned. 8—The class code of 8 will be assigned. 9—The class code of 9 will be assigned. 10—The class code of 10 will be assigned. 11—The class code of 11 will be assigned. 12—The class code of 12 will be assigned. 13—The class code of 13 will be assigned. 14—The class code of 14 will be assigned. 15—The class code of 15 will be assigned. 16—The class code of 16 will be assigned. 17—The class code of 17 will be assigned. 18—The class code of 18 will be assigned. 19—The class code of 19 will be assigned. 20—The class code of 20 will be assigned. 21—The class code of 21 will be assigned. 22—The class code of 22 will be assigned. 23—The class code of 23 will be assigned. 24—The class code of 24 will be assigned. 25—The class code of 25 will be assigned. 26—The class code of 26 will be assigned. 27—The class code of 27 will be assigned. 28—The class code of 28 will be assigned. 29—The class code of 29 will be assigned. 30—The class code of 30 will be assigned. 31—The class code of 31 will be assigned. Synthetic—The synthetic classification flag is used to identify points that were not obtained from a lidar sensor. No change—The synthetic classification flag will not be modified. This is the default. Set—The synthetic classification flag will be assigned. Clear—The synthetic classification flag will be removed. KeyPoint—The model key point classification flag represents a subset of points that can be used to capture a desired level of detail of a given class code. No change—The model key point classification flag will not be modified. This is the default. Set—The model key point classification flag will be assigned. Clear—The model key point classification flag will be removed. Withheld—The withheld classification flag signifies erroneous data that should be excluded from analysis and visualization. No change—The withheld classification flag will not be modified. This is the default. Set—The withheld classification flag will be assigned. Clear—The withheld classification flag will be removed. Overlap—The overlap designation identifies points from overlapping scans and is only supported in LAS 1.4 files. No change—The overlap classification flag will not be modified. This is the default. Set—The overlap classification flag will be assigned. Clear—The overlap classification flag will be removed.	Value Table
Compute statistics (Optional)	Specifies whether statistics will be computed for the .las files referenced by the LAS dataset. Computing statistics provides a spatial index for each .las file, which improves analysis and display performance. Statistics also enhance the filtering and symbology experience by limiting the display of LAS attributes, such as classification codes and return information, to values that are present in the .las file. Checked—Statistics will be computed. This is the default. Unchecked—Statistics will not be computed.	Boolean
Update pyramid (Optional)	Specifies whether the LAS dataset pyramid will be updated after the class codes are modified. Checked—The LAS dataset pyramid will be updated. This is the default. Unchecked—The LAS dataset pyramid will not be updated.	Boolean

Derived output

Label	Explanation	Data type
Updated Input LAS Dataset	The updated LAS dataset.	LAS Dataset Layer

Environments

Current Workspace, Extent, Geographic Transformations

Licensing information

• Basic: Requires 3D Analyst
• Standard: Requires 3D Analyst
• Advanced: Requires 3D Analyst

Related topics

• An overview of the Point Cloud toolset
• Find a geoprocessing tool