Take the 2-minute tour ×
Geographic Information Systems Stack Exchange is a question and answer site for cartographers, geographers and GIS professionals. It's 100% free, no registration required.

I have been using FUSION and the command line FUSION Lidar Toolkit (LTK) to process Lidar data. A broad Google search ("Lidar Python") yielded libLAS and pyLAS as Python lidar libraries, however, these appear to provide only read and write access to LAS data. I am particularly interested in creating intensity and density images in addition to canopy surface models from point clouds. Is there a generally accepted set of tools in Python that can accomplish the same sort of tasks FUSION LTK is capable of?

share|improve this question
It is not a direct answer to your question, but as I've been working on a Python software for the reconstruction of botanical trees from LIDAR-acquired point cloud data, perhaps the technology stack I've been using could give you some ideas. In particular, the visualization layer is built using VTK, which is very powerful. –  cjauvin Mar 3 '14 at 20:15
ArcMap 10.1 has ultilities to handle Lidar Datacloud filters for display and analysis with other layers. C++ is probably the best method to handle the data rich .las files as recommended above. –  user28345 Mar 21 '14 at 17:18
I don't see how this answer's the OP's question. He wants a tool in Python. If you are suggesting C++, you should back up that claim with a detailed reason. –  Devdatta Tengshe Mar 22 '14 at 16:31

1 Answer 1

laspy is another good LAS read/write software. It supports working with the data directly in numpy arrays and a number of other nice Pythonic features. It isn't processing software per se, however.

PDAL has the ability to use Python as an in-pipeline filtering language, but this isn't a processing engine either.

There isn't too much in the Python quiver for LiDAR and point cloud processing. I think some of this has to do with the volumes of data typically processed and the typical response to reach for C/C++ when faced with the challenge. I do hope that as Python improves (PyPy is driving lots of things, and it is the reason that I worked to have laspy developed) more Python point cloud processing software becomes available. I think the outlook is improving but things still aren't quite there yet.

share|improve this answer

protected by Aaron Feb 8 at 3:20

Thank you for your interest in this question. Because it has attracted low-quality answers, posting an answer now requires 10 reputation on this site.

Would you like to answer one of these unanswered questions instead?

Not the answer you're looking for? Browse other questions tagged or ask your own question.