I have recently tinkering with lidar point cloud storage in Manifold Future and from what I have seen so far want to congratulate Manifold engineering on the incredible achievement that is the Radian Map format.
Out of idle curiosity, I have imported ever larger lidar pointclouds into MAP storage with a view to assessing whether Radian technology offers a potential solution to our ongoing problem we have with lidar storage, discovery and analysis.
Encouraged by my findings, I now have our organization's entire point cloud dataset and all las attribution stored as a single table containing some 1.72 billion points. Once imported, I have been absolutely astonished by the performance opening the map file which as shown in the screen grab below is ~0.4 of a second! Considering that following this blink of an eye, all of the data is available in a parallel data structure and ready to go with Radian's parallel analytics, this represents a huge achievement and opens up a host of possibilities.
How many records is 1.72 billion? I had no real comprehension, but at the height an individual record shows in attached the screen grab, if I were to scroll through the entire table, I'd be at it a while as it would be 6820 kilometers long!
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