False-color elevations, standard deviations of elevation, highest intensity, hill-shaded elevations and point densities from the Minnesota state LiDAR collection, generated with lasgrid and blast2dem in LAStools.

What happens when a computer scientist with an uncanny knack for geometry compression takes an interest in LiDAR data? In the case of Martin Isenburg, a self-described “massive data processor and common sense extractor” based in Germany, the result is an award-winning open-source software solution that is making it easier for government agencies and organizations to store and transmit increasingly larger LiDAR data sets by compressing data from the ASPRS LAS format into much smaller LAZ files.

Developer of the LAStools software for processing LiDAR data, Isenburg worked extensively on compressing the connectivity and geometry of polygonal meshes--first as a student at UNC Chapel Hill, then as a postdoctoral researcher at UC Berkeley, and finally on his own as a consultant. When he introduced LASzip as part of LAStools in July 2007, it was mostly an experiment in his free time; he had no idea how the compression tool would be received in the commercial sector.

As word began to spread about LASzip, a number of government agencies and private organizations became interested in testing this technology. A sponsor soon stepped forward to fund improvements in the code and ensure that the tool would be released open source under an LGPL license. From there, “it sort of took off,” Isenburg said.

The LASzip compression is lossless, meaning that the LiDAR data is retained exactly: point coordinates, intensities, classification--even the order. The amount of compression that can be achieved on a single dataset therefore varies depending on the order of the points in the file--points in random order achieve much less compression than points that are still in the order in which they were acquired, which is typically the case. Files can often be compressed to as little as 7 to 25 percent of their original size. For LiDAR power users such as NOAA, the USGS, the Minnesota Department of Natural Resources and a number of private organizations, such a high level of compression saves on storage bandwidth. More importantly, the compression makes it easier to share datasets both internally and externally.

In April 2012, LAStools received a Technology Innovation Award at the Geospatial World Forum in Amsterdam for the LASzip compression tool. Popular commercial software packages such as Certainty 3D’s TopoDOT, Safe Software’s FME and Blue Marble Geographics’ Global Mapper already have native LAZ support. Isenburg said that QT Modeler and Fugroviewer are expected to follow in their next release, and that RIEGL, a major manufacturer of scanner hardware, plans to have RiProcess output directly to LAZ files.

For Isenburg, who long approached his work on compression as mostly a hobby, the growing interest in LASzip--and LAStools in general--is opening new doors of opportunity. Isenburg recently added a LiDAR processing toolbox for Esri’s ArcGIS that allows users to easily access LAStools within ArcGIS 9.3, 10.0 and 10.1. Through his newly formed company rapidlasso, Isenburg intends to push LAStools even further by adding more tools, better tutorials and user training and, importantly, a more visible presence in the market.

The change means that more users of LAStools may choose to pay for a commercial-grade license that includes the complete collection of scriptable tools with multi-core batching that processes standard LAS, compressed LAZ, Terrasolid BIN, ESRI Shapefiles and ASCII files. However, several popular tools, including the LASzip compressor, will remain available as a free, open-source, standalone software.

“At this point, I see a reasonably good chance for LASzip to become an official recognized industry standard for LiDAR compression,” Isenburg said.

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For more information about LAStools and LASzip, visitwww.rapidlasso.com orhttp://laszip.org. For the latest insights on trends and technologies in the geospatial professions, subscribe to the weekly GeoDataPoint eNews atwww.geodatapoint.com.