Point Cloud: Storage, Loading, and Visualization

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Executive Summary

In recent years laser scanning and terrestrial imaging have enabled the collection of large amounts of LiDAR (Light Detection and Ranging) data. New laser scanning equipment made it easier to acquire 3-D representations of real world entities as high-density point clouds, which may then be generalized to compact forms such as TINs, meshes, surfaces and solids. Increasing LiDAR densities bring new data management challenges for large volumes of point data. Lag time from acquisition to analysis, metadata access and management, fusion with other geospatial and attribute data, multi-user access and security are some of the challenges in managing large scale LiDAR data.

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