QCoherent Software, LLC

 

Conflation Point Cloud Task

*This feature is available in the Standard license level and above for LP360.

About Conflation

The Conflation point cloud task captures the input required to conflate elevation values (computed from LIDAR data) to vector data such as stream centerlines, ponds, lakes, or buildings. The exact algorithm of the conflation (i.e., conflation method) is specified from a set of built-in methods:
 

As an optional step in the conflation process, you may classify LAS points within a spatial relationship with the input geometry. For example, if conflating stream centerlines using the downstream constraint, you may also wish to classify a buffer of points around the input stream lines for use in breakline enforcement.

Learn more about breakline enforcements
 

Examples of Conflation Results

Conflating pond and lake elevations using the Summarize Z method

Conflating stream centerlines using downstream constraint

How to use Conflation

1. Use the Add Files command to open the LAS files that contain the data you want to use.  

2. Use the Add Task command to create a new point cloud task. When you are selecting a Task Type in the Add Point Cloud Task dialog, select Conflation. Once you click OK, you should see the unique name that you gave your task selected in the list and the Conflation property page displayed on the Point Cloud Task tab.

3. Specify the settings for the Conflation operation in the Properties page that displays.

Overview of the Conflation Point Cloud Task

Learn how to select input geometry

Learn how to select the input LAS Layer

Learn how to select a type field

Learn how to toggle the use of type values

Learn how to select a conflation method

Learn how to toggle the classification of buffers

Learn how to modify the buffer distance

Learn how to select a destination classification

Learn more about classifying points within closed lines

Learn how to modify Point Filter

Learn how to use breakline enforcements

Learn how to select an output data set

Learn how to copy the attributes to the output data set