Point Cloud Exploitation Tools

LP360 — Standard

for LIDAR Point Cloud Editing

Available as both a standalone Windows application and as an extension to ArcGIS.

LP360 Standard edition extends the Basic version by adding easy to use tools for classifying (editing) point clouds and adding breaklines. Points can be attributed to any LAS classification using a rich palette of interactive tools. Data layers of points, lines and polygons can be used to classify LIDAR point cloud data, creating a true fusion of GIS and point cloud data. An extensive collection of functions are provided for creating breaklines for a variety of terrain modeling applications.

Interactive classification tools

Being able to edit your LIDAR or point cloud is necessary if you are to get the full benefit from this very accurate and useful data source. Regardless if you are a LIDAR production organization needing to manually edit classifications created from automatic routines or a GIS organization that needs to implement a few corrections LP360’s interactive classification tools are fast and easy to learn. The tools are available in both the LP360 Map and profile window and feature a variety of methods for identifying and filtering these points.

Find out more about Classification tools by exploring articles in our Knowledge Base →

LP360 manual classification tool,shown editing in the profile window

Classify by GIS data layers and features (including 3D points, lines and polygons)

You have the point cloud and now you need to add classification information. You can use existing features from you GIS data layers to classify your points. For example if you have vectorized buildings you can use LP360’s Classify by Feature Point Cloud Task application to filter your building points.

Using a feature, in this case a breakline, to classify points

Convert 2D vectors to 3D by automated surface elevation extraction

One of the powerful characteristics of LIDAR point cloud data is the fact that you can obtain elevation information. With LP360’s Conflation Point Cloud Task you can automatically compute the Z value(s) for geometry. For example, you can take existing 2D breaklines and assign the Z value easily turning your 2D breaklines into 3D.

Breaklines with Z values enforced in LP360 3D Viewer

Breakline digitization tools for a variety of constraint conditions

One of the more powerful capabilities within LP360 is breakline capture and enforcement. Use breaklines to introduce artifical elevation constrants to a dataset. Breaklines are used to define banks of rivers and lakes to apply water body flattening to the area. Breaklines can also be used to define distinct edges such as dams, bridges and overpasses.

Find out more about Breaklines by exploring articles on our Knowledge Base →

Hydro flattening of large water body using breaklines in LP360

Volumetric Analysis Tools

Included is a complete tool set for volumetric analysis. These tools allow you to define the “toe” of a volume calculation with a variety of methods from interactive sketching to predefined definition files. Volumes can be computed using defined bases or between point clouds (for use in time change analysis). The reports include tabular data as well as the ability to generate output point clouds that represent the volume area (for example, a point cloud of a stock pile).

Find out more about Volumetric Analysis by exploring articles on our Knowledge Base →

Stockpiles with labels for inventory tracking with volumetric analysis in LP360

Cross-section generator/exporter

Cross sections can be extracted from point clouds using a variety of “alignment” definitions. The cross sections can be of a user specified length or clipped to enclosing polygons. This includes advanced contouring tools that allow for both interactive visualization (dynamic contouring) and generating file-based contours for customer delivery.

Find out more about Cross Sections by exploring articles on our Knowledge Base →

Cross sections of stockpile, Volumetric Calculations in LP360 3D Viewer Window

LP360 Brochure (PDF) →

Feature Matrix →