laserchicken

Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning

1
mention
12
contributors

Cite this software

What laserchicken can do for you

  • Find neighboring points in your point cloud and describe them as feature values
  • Filter points spatially or by attribute
  • Normalize height for every point

Laserchicken is a user-extendable, cross-platform Python tool for extracting statistical properties (features in machine learning jargon) of flexibly defined subsets of point cloud data.
Laserchicken loads a point-cloud from a LAS or LAZ or PLY file. After this, it can filter points by various criteria, and it can normalize the height. Laserchicken can load another point cloud, which contains targets. For every target point, Laserchicken computes its neighbors. Based on the list of neighbors, Laserchicken extracts features that effectively describe the neighborhood of each target point.

Logo of laserchicken
Keywords
Programming languages
  • Python 93%
  • Jupyter Notebook 7%
License
  • Apache-2.0
</>Source code

Participating organisations

Netherlands eScience Center
University of Amsterdam

Mentions

Contributors

Bouwe Andela
Bouwe Andela
Netherlands eScience Center
Elena Ranguelova
Elena Ranguelova
Netherlands eScience Center
Faruk Diblen
Faruk Diblen
Netherlands eScience Center
GvdO
Gijs van den Oord
Netherlands eScience Center
Nicolas Renaud
Nicolas Renaud
Netherlands eScience Center
Yifat Dzigan
Yifat Dzigan
Netherlands eScience Center
RG
Romulo Goncalves
Netherlands eScience Center
MG
Meiert W. Grootes
Netherlands eScience Center
FN
Francesco Nattino
Netherlands eScience Center
OK
Ou Ku
Netherlands eScience Center
ZK
Zsófia Koma
Institute for Biodiversity and Ecosystem Dynamics, University of Amsterdam
Christiaan Meijer
Christiaan Meijer

Related projects

eEcoLiDAR

eScience infrastructure for ecological applications of LiDAR point clouds

Updated 15 months ago
Finished

Related software

Laserfarm

LA

Laserfarm: Laserchicken Framework for Applications in Research in Macroecology. Leverage Laserchicken in distributed fashion to use continental scale point cloud datasets for research.

Updated 19 months ago
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