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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

Vegetation Modelling

Tutorials

Models

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 18 2

  2. rayextract-manual rayextract-manual Public

    Repository with explanation and additional functionality for using Raycloudtools for forest point cloud processing

    Python 5 1

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

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

    Python 2 2

  4. color-tree-point-cloud-with-CloudCompare color-tree-point-cloud-with-CloudCompare Public

    Steps for coloring a tree point cloud with CloudComparing using ShadeVis plugin

    HTML 2

  5. TLSpipelineScripts TLSpipelineScripts Public

    Scripts and explanation for running the TLSpipeline by Phil Wilkes

    Shell 1

  6. pcl-segmentation pcl-segmentation Public

    Repo containing functionality for point cloud segmentation

    Jupyter Notebook 1 3

Repositories

Showing 10 of 27 repositories

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