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Laserfarm

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

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contributors

Cite this software

What Laserfarm can do for you

  • Provides a framework to run point cloud data analysis pipelines, e.g. for macroecological research using the laserchicken library

  • Easily configurable modular pipelines

  • Cross-platform distributed computing using Dask

  • Support for local and remote storage, incl. webdav protocol

  • Used in multiple eScience and Horizon Europe projects

Laserfarm (Laserchicken Framework for Applications in Research in Macro-ecology) provides a FOSS wrapper to Laserchicken supporting the use of massive LiDAR point cloud data sets for macro-ecology, from data preparation to scheduling and execution of distributed processing across a cluster of compute nodes.

Keywords
No keywords available
Programming languages
  • Python 87%
  • Jupyter Notebook 13%
License
</>Source code
Packages
pypi.org

Participating organisations

Netherlands eScience Center
University of Amsterdam

Contributors

Laurens Bogaardt
Laurens Bogaardt
Meiert Willem Grootes
Meiert Willem Grootes
Ou Ku
Ou Ku
RM
Ross McGuire

Related projects

eEcoLiDAR

eScience infrastructure for ecological applications of LiDAR point clouds

Updated 18 months ago
Finished

Related software

laserchicken

LA

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

Updated 15 months ago
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