eScience infrastructure for ecological applications of LiDAR point clouds
Laserfarm: Laserchicken Framework for Applications in Research in Macroecology. Leverage Laserchicken in distributed fashion to use continental scale point cloud datasets for research.
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.