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

312 commits | Last update: November 01, 2021

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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.

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Programming Language
  • Python
  • Apache-2.0
Source code

Participating organizations


  • Meiert Grootes
    Netherlands eScience Center
  • Francesco Nattino
    Netherlands eScience Center
  • Ou Ku
    Netherlands eScience Center
  • Laurens Bogaardt
  • Ross McGuire
Contact person
Meiert Grootes
Netherlands eScience Center

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