thanks for the link to MNtopo. I had not seen their nice download portal. Let's turn this not-so-exciting question about turning LAS/LAZ into ASCII with las2txt into an exciting hunt for (decommissioned) nuclear missile bases in Minnesota ... (-:
and zoomed to one of the former missile bases from the cold war that is described here
that was covered by the Arrowhead LiDAR campaign of 2011 (see attached image). Using an appropriate area-of-interest polygon and a secret email address (see next image) I received a link to the LiDAR data in form of a zipped archive containing four LAZ files. Note that compressing LAZ files with WinZIP does not make them any smaller, it actually makes them bigger as evidenced by the screen shot. I then used lasview with option '-set_min_max 300 306' to get a nice coloring of the hillshaded DSM and DTM for the decommissioned nuclear missile base that - like many similar sites - has gone from its glamorous cold-war days to see its buildings become a self-storage business. (-:
On to the actual question. Using the GUI of las2txt and picking the area of interest I generate this command line:
more nuclear_missle_base\2758-03-04.txt
584514.93 5198698.61 311.92 3 1 3 5 565 35580996.821933
584515.62 5198698.63 303.65 3 2 3 5 565 35580996.821933
584514.79 5198699.67 304.92 2 1 2 5 565 35580996.821943
584515.35 5198699.70 298.10 30 2 2 3 565 35580996.821943
584513.69 5198699.60 298.92 26 2 2 3 565 35580996.840583
584513.70 5198698.53 307.58 2 1 2 5 565 35580996.840593
584514.50 5198698.57 297.93 30 2 2 2 565 35580996.840593
584512.82 5198697.73 306.99 15 1 2 5 565 35580996.856453
584513.57 5198697.76 297.94 12 2 2 2 565 35580996.856453
584511.90 5198698.75 309.33 4 2 3 5 565 35580996.856463
584512.84 5198698.80 297.95 21 3 3 2 565 35580996.856463
584511.51 5198699.80 305.30 2 1 2 5 565 35580996.856473
584512.12 5198699.83 297.97 28 2 2 2 565 35580996.856473
584510.77 5198699.56 297.96 20 1 1 2 565 35580996.875083
584511.52 5198698.53 297.82 22 1 1 2 565 35580996.875093
584510.32 5198698.05 297.81 26 1 1 2 565 35580996.890983
584508.38 5198699.02 312.52 10 2 4 5 565 35580996.890993
584508.79 5198699.04 307.52 4 3 4 5 565 35580996.890993
584509.59 5198699.09 297.82 11 4 4 2 565 35580996.890993
584506.80 5198699.08 311.06 10 1 2 5 565 35580996.909584
584507.87 5198699.16 298.02 10 2 2 3 565 35580996.909584
584507.76 5198698.08 308.18 4 1 2 5 565 35580996.909594
584508.59 5198698.13 297.98 15 2 2 3 565 35580996.909594
584507.07 5198698.45 297.83 4 2 2 2 565 35580996.925514
584505.28 5198699.41 310.85 9 1 2 5 565 35580996.925524
584506.34 5198699.49 297.89 15 2 2 8 565 35580996.925524
584504.11 5198699.27 306.20 2 1 1 5 565 35580996.944084
584504.39 5198698.20 311.60 3 1 3 5 565 35580996.944094
584504.70 5198698.23 307.80 5 2 3 5 565 35580996.944094
584505.50 5198698.28 298.01 14 3 3 3 565 35580996.944094
584504.61 5198697.58 297.87 18 2 2 2 565 35580996.960034
Hope this made the answer to the question a bit more interesting for everyone ... (-: