Other Point Cloud Viewers and Lidar tools:
ESRI zLAS converter
OPALS - Orientation and Processing of Airborne Laser Scanning data--does classification, among other things. Must license for more than 1 million points.
Commercial, no demo version: http://lidarwidgets.com/
OpenLSEF: https://beta.openlsef.org/digital-elevation-models/ Extracting information for 3D point clouds
Python for lidar
Create point clouds
http://www.lidarbasemaps.org/ LIDAR links
http://bcal.geology.isu.edu/Envitools.shtml BCAL LiDAR Tools are open-source tools developed by Idaho State University, Boise Center Aerospace Laboratory (BCAL). These tools can be used for processing, analyzing and visualizing LiDAR data. They are written in IDL programming language. Version 2.x.x can be run with free IDL Virtual Machine, and does not need ENVI software.
http://lidar.ihrc.fiu.edu/lidartool.html ground point classification, last revised 2007, input is ASCII files (from tape).
PulseTools for full waveform analysis: https://github.com/PulseWaves/PulseWaves/tree/master/PulseTools
*PointVue LE Ė free and easy to download with no hidden links. It easily opens LAS files and displays the point cloud; it can display intensity, elevation, return number, and classification and allows the user to overlay the intensity on any of the other categories. It appears to no longer be available.
This is probably now http://www.lp360.com/lp-viewer.html but we have not tested it.
LizardTech GeoViewer 5.5
|MARS Viewer (free, but requires registration and download of 30 day free trial)|
|Fledermaus and free iView4D viewer. It appears that the free iView4D will only display the proprietary formats, and we have not found a free way to create those except through Fledermaus (and our attempts there have not been successful). There is a module in Mirone (no longer online, had Matlab source code), so that might be possible with some effort.|
|DielmoOpenLidar: http://www.dielmo.com/eng/ficha-tecnologia.php?prod=27 based on gvSIG|
Lidar Point Cloud Data Sources
LIDAR links: http://www.lidarbasemaps.org/
http://applied-geosolutions.github.io/lidar2dems/ classify into ground and non ground, create DTM, DSM, or CHM. Python on Linux.
African and Middle East archaeology
Last revised 10/31/2019