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Lidar data processing
michelk edited this page Jun 13, 2012
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Currently there doesn't exist an open-source frame-work to deal flexibly with LIDAR-data.
OPALS -- Orientation and Processing of Airborne Laser Scanning data
- Written in C++; could be extended with python
Pros:
- Tries to support a tool-chain to do all the work
Cons:
- Not fully available
- Not open-source
- Currently only windows-installer
LAStools -- converting, filtering, viewing, gridding, and compressing LIDAR data
- Written in C++
Pros:
- Rich set of executables already available (contour-line, TINs, dhm, ...)
Cons :
- Not open-source
- Not easily extendible
Whitebox -- Whitebox Geospatial Analysis Tools
- Java-based GIS-program suited for hydrological analysis
Pros:
- Open-source
- extensible with jpython, JavaScript
Cons :
- More features needed
- Generate flexibly triangulated surface-meshes (eg. for hydrological simulations)
- Triangulate a rich set of spatial-layers:
- buildings as holes
- include breaklines
- contour lines
- ...
- Extract breaklines (eg. for geomorphology)
- Create contour-lines