This week at the ESRI user conference, Seattle-based LizardTech Corp. introduced users to their latest offering – Lidar compressor – a solution for those needing to be more efficient in working with Large LIDAR datasets.
Why Lidar Compressor?
Working in the cloud is inherently difficult
People aren’t working with their point data many aren’t even getting it or asking for it
LIDAR files are big
Hundreds of millions or billions of points
Higher res sensors out there collecting data
Seeing statewide data collection efforts, currently 8 states doing this
LIDAR files are tough to compress
Random data, not a regular grid, compression was “zipping” must be decompressed for use
Most commonly requested feature from users over past couple of years (compressing lidar data)
The solution – LIDAR compressor
– Easy to use, requires little training
– Compress LAS and AASCII files to MrSID generation 4 – 4:1 lossless virtual lossles at about 10:1
Reduce files by 75%
– selective decoding, no need to decompress the entire file to view one portion
windows UI
– combine multiple point cloud files to individual MG4 mosaic
– Lossy – 10:1 virtually lossless – positional error is less than the sensor that acquired it
Traditionally customers have not even taken delivery of the entire point cloud
– Patent pending technology
– $2995 standalone license