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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Description
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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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Contributors
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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 10 months ago
Finished