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)
