Requires an LP360 Geospatial Basic or higher, LP360 Drone, or LP360 Land Standard, plus an Auto AI Ground Classification Cloud add-on license assigned to the user.

The AI Ground Only tool, fka AI Ground Classification, on the AI Classification tab of the ribbon is an artificial intelligence (AI) deep learning (DL) model that allows for ground classification of the LAS datasets at the click of a button.  LP360 uses a generalized pre-trained ground classification model; no training datasets or model building are required prior to using the tool.

This tool is eligible for execution through LP360 Cloud in a web browser or directly from LP360 Desktop (LP360 v2025.1 or newer).

General Requirements

• An Auto AI Ground Classification license add-on must be assigned to your user.
• For LP360 desktop, you must be signed into your LP360 Online account using either in the Sign In dialog in the top-right hand corner of LP360 (users with a subscription desktop license are automatically logged in) or the LP360 Credentials Manager dialog.

Learn more about Cloud add-on Subscription License Management

Executing from LP360 Desktop

Select the AI Ground Only on the AI Classification tab of the ribbon. 

Input

Available LAS Layers

The source LAS that will be classified.

Quick Set/Reset tools

The Available LAS Layers section has several tools to speed common settings. These tools are described in the table below.

Settings

Pre-Classification Parameters

These pre-classification tasks will be performed by LP360 Desktop before sending the job to the cloud for AI Ground Classification.

Outliers Classification: Runs the Outliers Classification PCT, as a (PCT = Point Cloud Task) child job to the parent CGC job in Job Manager , and should be used whenever the presence of gross outliers has been identified in the input point cloud. It can also be activated on a noisy point cloud because some outliers located close to the point cloud might not be close enough to their surrounding points to be considered as points affected only by random errors.

Smoothing: Runs the Smoothing, Point Cloud PCT, as a (PCT = Point Cloud Task) child job to the parent CGC job in Job Manager , which is a moving least square smoothing algorithm that reduces “noise” in high density, noisy point cloud data. The point cloud noise envelope or thickness of a smoothed point cloud will look thinner than the original point cloud.  Smoothing before AI ground classification can improve results with noisy or fuzzy ground surfaces.

Delete Noise Classes: will delete any points in the Noise classes (Class 7 and Class 18). It will also delete any points detected by the Outliers Classification.

Classification Parameters

The Keep Existing Classes option allows you to preserve any existing classifications in your point cloud, for example Buildings (Class 6) or Vegetation (Classes 3/4/5).  If selected, all classes other than Class 0/1/2 will be ignored during AI processing and returned in the same class.  Note that points in Class 2 will be overwritten/re-classified by the AI, so if you have an existing ground class you want to preserve you should move it to a temporary class before running the AI classifier and move it back afterwards. Noise points in classes 7 and 18 will still be deleted if that option is chosen, even when Keep Existing Classes is enabled.

Output

New LAS Layer Name: Select a name for the AI Ground Classified LAS

Reset to default: Reset all settings to default

Submit: Finalizes the AI Ground Classification and submits the job to the Job Manager .

Cost

Current Balance: Displays your organization's current balance of LP360 Points.

Cost Estimate: Shows the estimated price in LP360 Points to run the task for the selected Input LAS Layers. 

LP360 Points price per job, August 2025

How to Run AI Ground Classification

1. Open a project in LP360 with at least one LAS Layer.
2. Select the AI Ground Only tool on the AI Classification tab of the ribbon.
3. Select the LAS Layer(s) to be classified. Select the desired pre-classification task(s) to be performed in batch.
4. Provide a name for the resulting LAS Layer.
5. Press Submit to create an AI Ground Classification (CGC = Cloud Ground Classification) job in the Job Manager . Applicable child jobs (XFR, CLD and PCT) will be created as needed.
6. Once the job is Ready, press Complete Job to complete the job and add the AI classified point cloud to your project.
7. Use the Ground cleanup tools in LP360 to refine the classification results.

Executing from LP360 Cloud using a Web Browser

Not Recommended.

To execute the AI Ground task from LP360 Cloud in a web browser, the LAS dataset must first be uploaded to the Cloud. Uploading data can be done using the Upload to Cloud tool on the Cloud ribbon within LP360 Desktop. 

Tips

• After submitting the job, you can continue working in LP360 or in a different software, however, do not switch off the computer or the task will never finish in the job manager.
• The AI Ground Classification jobs are run in LP360 Cloud, you can always retrieve the data from the cloud, even if LP360 Desktop is not able to automatically download it.
• The LAS used for AI Ground Classification should be in LAS 1.4 and PDRF >6, otherwise, AI Ground Classification may not perform properly.
• The coordinate reference system (CRS) of the LAS must be projected. Meaning, it is not possible to classify a LAS Layer in geographic coordinates.