Using a LAS non-core attribute to determine symbology

DavidGodfrey2 — Fri, 30 Jun 2023 20:43:16 GMT

Hi there,

I have been using R Studio and LidR to segment Lidar LAS data into different trees, lidR only allows you to add an additional attribute to a the LAS file format and when viewed in ARCGIS PRo the additional 'non-core' attributes are not an option to determine the symbology of the LAS Feature Layer.

I am trying to symbolise a LAS layer by a non-core attribute called treeID and i am stumped!

I have been playing with a Python Script to try and work around but it throws an error saying it needs to be a feature layer which LAS layer dont seemed to be.

here is the py script

import arcpy # Set the input LAS dataset path las_dataset = r"path/to/your/las_dataset.las" # Set the non-core attribute field to use for colorization color_attribute = "Your_Color_Field" # Set the output feature class path output_feature_class = r"path/to/your/output_feature_class.shp" # Create a LAS dataset layer las_layer = arcpy.management.MakeLasDatasetLayer(las_dataset, "las_layer")[0] # Set the symbology for the LAS layer based on the color attribute symbology = arcpy.mp.LayerFile(r"path/to/your/symbology.lyrx") arcpy.management.ApplySymbologyFromLayer(las_layer, symbology) # Create a feature class from the LAS layer with colorization arcpy.conversion.FeatureClassFromLayer(las_layer, output_feature_class) # Clean up the temporary LAS layer arcpy.management.Delete(las_layer)

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Using a LAS non-core attribute to determine symbology