Welcome to laserfarm’s documentation!

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.

Laserfarm has been developed within the eEcoLiDAR project at the Netherlands eScience Center. The code is hosted on GitHub. If you want to contribute to the development of Laserfarm, have a look at the contribution guidelines.

Contents:

• Laserfarm
  • Installation
  • Documentation
  • Applications and Current Limitations
  • Contributing
  • License
• User Manual
  • Raw Data Re-tiling
  • Point-Cloud Data Processing
  • GeoTIFF Export
  • Point Classification
  • Pipelines with Remote Data
  • Macro-Pipelines
  • Examples
  • Current Limitations