laserchicken
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Toolkit for preprocessing and feature calculation of point clouds created using airborne laser scanning
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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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What Laserfarm can do for you
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Provides a framework to run point cloud data analysis pipelines, e.g. for macroecological research using the laserchicken library
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Easily configurable modular pipelines
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Cross-platform distributed computing using Dask
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Support for local and remote storage, incl. webdav protocol
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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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Laurens Bogaardt
Netherlands eScience Center
Meiert Willem Grootes
Netherlands eScience Center
RM
Ross McGuire
Related projects
eEcoLiDAR
eScience infrastructure for ecological applications of LiDAR point clouds
Updated 7 days ago
Finished