Summary
Identifies lidar points within the three-dimensional proximity of z-enabled features while also providing the option to reclassify the points and export them to an output feature class.
Usage
This tool updates the input feature with a field that contains the count of LAS points that fall within the specified search radius.
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When a LAS dataset is specified as input, all the data points in the LAS files it references will be processed. A subset of lidar data can also be selected by its classification codes, classification flags, and return values by applying the desired LAS point filters through a LAS dataset layer. Filters can be defined through the layer properties dialog or the Make LAS Dataset Layer tool.
Consider using this tool to identify the presence of potential obstructions within a specified proximity to features of interest, such as vegetation encroachment near utility lines.
Syntax
LocateLasPointsByProximity_3d (in_las_dataset, in_features, search_radius, count_field, {out_features}, {geometry}, {class_code}, {compute_stats})
Parameter | Explanation | Data Type |
in_las_dataset | The LAS dataset to process. | LAS Dataset Layer |
in_features | The 3D point, line, or polygon features whose proximity will be used for identifying LAS points. | Feature Layer |
search_radius | The distance of the space around the input features that will be evaluated for the presence of LAS points, which can be provided as either a linear distance or a numeric field in the input feature's attribute table. If the search radius is derived from a field or a linear distance whose units are specified as Unknown, the linear unit of the input features' XY spatial reference is used. The following units are supported:
| Linear Unit; Field |
count_field | The name of the count field that will be added to the input feature's attribute table. The field's values will reflect the sum of LAS points that are in the proximity of an input feature. | String |
out_features (Optional) | Output point features that represent the LAS points found within the specified proximity of the input features. | Feature Class |
geometry (Optional) | The geometry of the output point features that represent the LAS points found within the specified proximity of the input features.
| String |
class_code (Optional) | The class code value that will be used to reclassify the points found within the search radius of the input features. | Long |
compute_stats (Optional) | Specifies whether statistics should be computed for the LAS files referenced by the LAS dataset. The presence of statistics allows the LAS dataset layer's filtering and symbology options to only show LAS attribute values that exist in the LAS files.
| Boolean |
Code Sample
LocateLasPointsByProximity example 1 (Python window)
The following sample demonstrates the use of this tool in the Python window.
'''****************************************************************************
Name: Classify Noise Points
Description: Updates classification of version 1.0 LAS files to conform to
the standardized class codes introduced in the 1.1 specifications.
The code is designed for use as a script tool.
****************************************************************************'''
# Import system modules
import arcpy
import exceptions, sys, traceback
# Set Local Variables
inLas = arcpy.GetParameterAsText(0)
recursion = arcpy.GetParameterAsText(1)
lasd = arcpy.GetParameterAsText(2)
reclassList = arcpy.GetParameterAsText(3) #List of values '<oldCode> <newCode>'
calcStats = arcpy.GetParameter(4)
try:
# Execute CreateLasDataset
arcpy.management.CreateLasDataset(inLas, lasd, folder_recursion=recursion)
# Execute Locate Outliers
outlier_pts = 'in_memory/outliers'
arcpy.ddd.LocateOutliers(lasd, out_feature_class=outlier_pts,
apply_hard_limit='Apply_Hard_Limit',
absolute_z_min=-15, absolute_z_max=680,
apply_comparison_filter='Apply_Comparison_Filter',
z_tolerance=0, slope_tolerance=150,
exceed_tolerance_ratio=0.5, outlier_cap=3000)
# Execute ChangeLasClassCodes
arcpy.ddd.LocateLasPointsByProximity(lasd, in_features=outlier_pts,
search_radius='0.5 Centimeters',
class_code=18)
# Report messages
arcpy.GetMessages(0)
except arcpy.ExecuteError:
print(arcpy.GetMessages())
LocateLasPointsByProximity example 2 (stand-alone script)
The following sample demonstrates the use of this tool in a stand-alone Python script.
Missing source code file