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Export classified LiDAR

Using the Exporter tab to export classified point cloud data

Updated over 9 months ago

If you do not see these features in your Neara projects and would like to explore Automatic LiDAR Classification, contact our team

Open the Exporter tab

To export the classified point clouds, use the Exporter tab. Select the Project / Export data:

Alternatively, select Export layer on the action menu (...) of the classified point cloud dataset on the Layers tab:

The Exporter tab will appear:

Set options

Search through your datasets using the Available datasets table and check the classified dataset(s) you want to export, and enter a File prefix to name your export:

There are two destinations to which you can export LiDAR - your device or an external data source. If you have access to both sources, you can switch between them by clicking on the Local storage or Cloud storage tab.

If you are exporting to cloud storage, search through the folders in your cloud storage using the folder tree and select the folder you want to export to.

Export

Click Export to export the classified dataset from your project:

You will see an on-screen notification stating that your export has started and you will receive an email notification once your data export has completed, or if a problem has occurred.

As the user who performed the export, you will receive the email notification even you are not the owner of the project. Note that your export will be in a zipped format.

If you have opted to export to your device, a link to download your dataset will be included.

What is exported?

The export includes:

  • The classified dataset(s) in LAZ format. More than one file may be produced, depending on the area classified

    • Any per-point values for attributes such as timestamp, intensity, return number, and more that are present in the original data are retained in the exported point cloud files.

  • A bounds.geojson file that contains the bounds of the dataset(s) exported

  • A point-mapping.csv file that contains the point cloud classification code mappings that are present in the output

  • An srid.json file that contains the SRID (EPSG) from the dataset(s)

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