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Is there any freely available pointcloud data? I'm especially interested in dense clouds of small areas(5m to 100m radius) but anything else would be fine too.

Edit: I've found that these pages have very nice and easy to access point cloud data. Thanks for all the answers!

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8 Answers 8

West Virginia View has some first/last files here: http://www.wvview.org/data/lidar/Gilmer/las/

This takes you through a USGS viewer, which links out to other sites (which may not have the design/interface):
http://opentopo.sdsc.edu/gridsphere/gridsphere?cid=datasets

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For our book "Open Source GIS: A GRASS GIS Approach" we have published a large North Carolina dataset. It contains the raw Lidar data as separated files which you can grab at http://www.grassbook.org/ncexternal/ (Lidar multi-return data).

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Ohio has LAS State wide datasets located here:

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Generate your own with a Kinect. It will provide a pointcloud with cm-scale precision for areas up to 5 m^2, and has a maximum range and FOV of about 15 m, although it is not very precise at that range. Just collect your data in the morning/evening when the sun is low, or at night.

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Autodesk's 123D Create application can generate point clouds from photos.

Just take photos of something from a few angles and then hit 'go'. I am not affiliated at all. I like it a lot, though. Very nice software.

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Very nice app. I also tried VisualSFM which may not produce nice polygon meshes but offers a lot more control. –  Markus May 1 at 7:57
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You can find many direct links to LAS / LAZ LiDAR data here LASzip.org

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We appreciate replies from vendors and other commercially interested parties, Martin, but in such cases to retain credibility it's crucial that you identify your connection with the solution you are recommending. –  whuber Feb 13 '12 at 15:45
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MD DNR has some sample LIDAR datasets available on this page, although it's already been separated out into first- and last-returns.

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http://liblas.org/samples/ has a extensive sample library of somewhat interesting data, though its primary purpose is for providing examples of variability in LAS data.

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