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@qforestlab

Q-ForestLab

Laboratory of Quantitative Forest Ecosystems Science (Ghent University)

Q-ForestLab

Q-ForestLab is a research lab at Ghent University (Belgium) studying the dynamics, ecology, biogeochemistry and water cycling of terrestrial ecosystems.

Here, we host our public code, documentation and manuals.

Fieldwork preparation

Point cloud processing of laser scanning data of forests and trees

Point cloud registration with RiSCAN PRO

General RiSCAN PRO manual

Pylidar for RIEGL

Leaf-wood segmentation

Instance segmentation

Quantitative structure modelling

Calculation of structural metrics

Visualisation

GEDI processing

Tutorials GEDI

Popular repositories Loading

  1. leaf-wood-segmentation-with-deep-learning leaf-wood-segmentation-with-deep-learning Public

    Forked from qforestlab/pcl-segmentation

    Repository with the code for the paper "Pointwise Deep Learning for Leaf-Wood Segmentation of Tropical Tree Point Clouds from Terrestrial Laser Scanning"

    Jupyter Notebook 13 1

  2. leaf-wood-segmentation-with-GBSeparation leaf-wood-segmentation-with-GBSeparation Public

    Steps to run GBSeparation algorithm (Tian & Li, 2020)

    Python 2 2

  3. TLSpipelineScripts TLSpipelineScripts Public

    Scripts and explanation for running the TLSpipeline by Phil Wilkes

    Shell 1

  4. pcl-segmentation pcl-segmentation Public

    Repo containing functionality for point cloud segmentation

    Jupyter Notebook 1 2

  5. riscan_registration riscan_registration Public

    Steps to register RIEGL TLS data to a co-registered pointcloud

    1 3

  6. TreeInstSegEval TreeInstSegEval Public

    Evaluation code and documentation for the paper "Benchmarking tree instance segmentation of terrestrial laser scanning point clouds"

    Python 1

Repositories

Showing 10 of 24 repositories

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