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I am processing Lidar data with FUSION-LTK. My study area contains 5 blocks of 1000 las tiles per block. Each block is broken into approximately 4 subblocks of 250 las tiles. I am calculating grid metrics and strata metrics to assess vegetation structure. I wrote simple batch files to process entire blocks (e.g. block 1 subblock1; block 1 subblock2;...) using the command line tools in FUSION-LTK.

The problem I am encountering is that I am only able to process one subblock at a time. When I try to simultaneously start processing on another block, the current session of FUSION-LTK stops the processing and moves to the new block. How can I improve the processing workflow so that more than one subblock are processed simultaneously, or at least enhance the multiprocessing capabilities of LTK?

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  • I ll be doing something similar in the coming weeks, i'll let you know what i come up with, but you could alway spawn instances of the same process with a simple python multithreaded script, similary like the famous generate_tiles.py script for mapnik.
    – U2ros
    Commented Apr 3, 2014 at 20:57
  • Hi Aaron, have you found any solution to your question? Have you tried to use the Fusion's LTKprocessor to optimize the tasks? See the example 4, in Fusion's tutorial, for example.
    – Andre Silva
    Commented Jul 17, 2016 at 0:59
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    Unfortunately, not @AndreSilva. Yes, I use LTK, though find the GUI cumbersome. I have been porting some lidar functionality over to python, however, FUSION seems to be the only available application for grid metrics.
    – Aaron ♦
    Commented Jul 17, 2016 at 3:35

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