Call for Input on Compression of LAS 1.4

The creators of the widely-used open source LiDAR compressor LASzip are issuing a "Call for Input" for extending the popular LAZ format to the new point types 6 to 10 that were introduced with the LAS 1.4 specification. Their LiDAR technology company rapidlasso GmbH invites all interested parties to "The LAS room" for an open discussion: "As LAZ has gained significant traction in the community we want to involve stakeholders across industry, academia, and government," so Dr. Martin Isenburg, founder of rapidlasso GmbH.

Recent conversations with large agencies suggest that LAS 1.4 is not yet being tendered and that there are no significant LAS 1.4 holdings. "So we have some time," says Dr. Isenburg, "No need to rush and put out a half-baked solution. I have the feeling LAS 1.4 will stay with us for a while, so we better get it right."

The LASzip compression scheme will not change for LAS 1.X files that only contain point types 0 to 5 to guarantee "forward-compatibility" with older, already existing LAZ readers. "The new point types," so Dr.
Isenburg, "provide a unique opportunity to enhance the compression scheme further."

Apart from the improvements mentioned in the LASzip journal paper, one change worth discussing is whether to encode GPS time stamps, RGBI colors, and WavePackets separately from other point attributes to allow selective reading of compressed files. Plain visualization, for example, does not need
GPS time information. Another consideration is (optional) spatial indexing using LASindex. The new concept of "Appended VLRs" in LAS 1.4 allows appending the tiny LAX files of LASindex to the end
of a LAZ file.
Dr. Isenburg asks especially those who do not yet use LAZ (for technical reasons) to join "The LAS room" and contribute suggestions: "Let’s make LASzip with LAS 1.4 support not only a better LAZ, but also your
LAZ."

About rapidlasso GmbH:

Technology start-up rapidlasso GmbH specializes in efficient LiDAR processing tools that are widely known for their high productivity. They combine robust algorithms with efficient I/O and clever memory
management to achieve high throughput for data sets containing billions of points. The company’s flagship product – the LAStools software suite – has deep market penetration and is heavily used in industry, government agencies, research labs, and educational institutions. Visit http://rapidlasso.com for more information.