Merging large number of LAZ

[Vad Nart]

Hi Everyone,

 We use Bentley Context Capture to produce our Point Cloud models. Typically our point clouds are over 50GB and over 5Billion points.  For these datasets Bentley will output hundreds of LAZ parts that we then need to merge into single LAZ for conversion into viewer using Potree or similar tools.

 I wanted to ask the community if using  las2las64  to perform the merge is correct and/or if there are other suggestions on how to improve.  For example, would it advisable to run lasoptimize?  also is there a difference in this case between las2las and las2las64 since las2las can use -cores option to potentially speed up merging?
 
      las2las64 -i *.laz -merged - set_version 1.4 -o merged.laz

Attached is a typical list of LAZ files that we merge.  also attach resulting lasinfo of the merged LAZ.

thanks everyone for the help.

-Vlad 

[Vad Nart]

Sorry, forgot to include example of list of LAZ files for merging and lasinfo of the resulting merged file as reference

--Vlad

[Jorge Delgado García]

I have also used LAStools on occasion to perform operations on the point clouds generated by Bentley Context Capture. The truth is that the final files usually have a very huge number of points, so I would advise trying to optimize the clouds themselves as much as possible. This is something that in the end usually requires some testing, but I recommend you use LASoptimize as a starting point. Another important action is to consider in las2las the -rescale option and adjust it to the logical positional accuracy of your data (they are now in millimetres).

As for LAS2LAS, you can use the -cpu64 and -cores option to be able to run in 64 bits, so I think - otherwise Jochen or someone correct me - it is equivalent to use las2las64 where the multicore option is not implemented.

Best regards from Spain,
Jorge

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