Gist ab738ee0d721842fbea501cc96296160

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Gist ab738ee0d721842fbea501cc96296160

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Last edited Feb 11, 2022

Created on Feb 11, 2022

This example demonstrates how to load and manage LiDAR point cloud layers in QGIS using Python, showing both automatic and manual index generation for LAZ files from the French IGN LIDAR HD dataset. It uses the QgsPointCloudLayer class with the PDAL provider, QgsProject for layer management, and QgsPointCloudDataProvider to check indexing state, generate indexes, and retrieve polygon bounds, point counts, and renderer information. The script also prints coordinate reference system details and renderer type, illustrating direct provider-level access to point cloud metadata.

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