I have decided to repost this updated version, as the original is lingering in archive limbo This is to keep others from having as bumpy, a ride into this as i have had. Many frustrations. Finding the right way into LIDAR point clouds, is like navigating a dense jungle. There are so many purposes and ways to use LIDAR data, that we have acces to a forest full of free and paid for software, plus lots of file formats. Ad to that, all the things you can do to those files. Created with CloudCompare 2.6.2 and Blender 2.76b A heartfelt thankyou to Daniel Girardeau-Montaut, the creator of Cloudcompare. For creating the software and the pointers, that made this tutorial better. What is LIDAR? Lidar (also written LIDAR, LiDAR or LADAR) is a remote sensing technology that measures distance by illuminating a target with a laser and analyzing the reflected light. Although thought by some to be an acronym of Light Detection And Ranging, the term lidar was actually created as a portmanteau of "light" and "radar". Lidar is popularly used as a technology to make high-resolution maps, with applications in geodesy, geomatics,archaeology, geography, geology, geomorphology, seismology, forestry, remote sensing, atmospheric physics, airborne laser swath mapping (ALSM), laser altimetry, and contour mapping. (From Wikipedia). Getting LIDAR data. This is somewhat beyond the scope off this tutorial, but searching for geodata or height model, together with the country, should be a good starting point. Software needed CloudCompare It is Open Source and can be downloaded here: http://www.danielgm.net/cc/ CloudCompare supports import of 27 different file formats. There is a pretty fair chance, it will eat your file. Before we start, a copyright notice needed for the data used. Copyright notice Bellahøj Park Point cloud and Ortho photo As required, according to this site: (In Danish) http://download.kortforsyningen.dk/content/vilk%C3%A5r-og-betingelser Contains data from Geodatastyrelsen and Danske kommuner Fot-data Ekstracted lokation : Bellahøj Park Copenhagen DHM/Point cloud DLD 30/10-2015 Punktsky_617_72_LAZ_UTM32-ETRS89 Ekstracted lokation : Nisseringen Næstved DHM/Point cloud DLD 14/11-2015 Punktsky_612_68_LAZ_UTM32-ETRS89 http://download.kortforsyningen.dk/content/geodataprodukter DLD = Download date DanTDBV D@nN (My photo and film signature) My experience's with the exported mesh. I have found that Blender, does not like the mesh, that comes out from CloudCompare. I am now using MeshMixer to reduce the mesh. Erase & Fill, Reduce and Smooth are the tools I use. Retopoflow and the Knive tool, are not working as expected. The creator of Retopoflow, has looked at it and he says, that it is behaving strangely. Upon import in Blender, I am now moving the Origin, to somewhere inside the model. It does give a better behavier, but not much. I have decided, that I am capable of lining up parts manually. When using obj, it needs a 90 degree flip on the X axis. Conclusion: If stl or obj is the right choise, I really don't know, but Retopoflow is behaving a little better with obj. Current way I do it. Apply Global shift/scale upon import Export full area, reduce in MeshMixer, that does not worry about reference/anchor/pivot point. Import in Blender, move origin to model, center it, then cut it to pieces. On to what you are here for How do you do, you do, you do I use LAZ files in this case. LAZ is a compressed LAS file. Open CloudCompare Open the file you wish to use. Select multiple files with Shift and Control Open LAS File Chose Apply all Global shift/scale Yes to All Navigation: Left mousebutton Rotate, Scroll wheel Zoom, Right mouse button Move You always need to select the file/s You want to work with. Select each file in turn (In DB Tree chose the filename) Change active Scalar Fields to Classification (This is the one I prefer to use) 2 fields have been changed here Merge and select I usually do a fast selection, of a wider area than needed and save that, before refining the area further. Control select all files (Same as above) Click Merge multiple clouds button in Top ToolBar (TTB) Adjust the view, until the desired area is visible Click Segment button in TTB (scissors) (Opens Segment toolbar. Hover mouse over tools for tool tips) Select area of cloud to keep. For an irregular area, use Polygonal selection If you are satisfied Hit Confirm segmentation. If you are not hit Clear segmentation. Cancel to quit In DB Tree chose the parts, of the cloud you wish to discard. (I clear the checkmarks, from the parts I want to keep) Hit Delete Select resulting file and save a backup. I have good experience with exporting as LAZ. I chose Highest resolution. LAS/LAZ comparison: LAS 287 MB, LAZ 40,6 MB. Further area refining. Now use the Segment tool, to remove the areas not visible from the track. Polygon selection makes it possible to do complex selections. After Segment out selection Save another backup To be continued I am not allowed to upload more, than 10 pictures so it is split into 2. Go and have a break. Do what you do to relax and refresh.