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@3dgeo-heidelberg

3DGeo Research Group, Heidelberg University

The 3DGeo Research Group investigates and develops computational methods for the geographic analysis of 3D/4D point clouds.
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3DGeo Logo

The 3DGeo Research Group at Heidelberg University (Germany) investigates and develops computational methods for the geographic analysis of 3D/4D point clouds and designs participatory STEM education concepts.

Here, we host and maintain our open-source software, public documentations and e-learning material.

Software

Software Description
HELIOS Logo Python library / command line tool for high-fidelity LiDAR Simulation (Virtual Laser Scanning) - Documentation at https://heliospp.readthedocs.io/
py4dgeo Logo Python library for change analysis in multitemporal and 4D point clouds
VAPC Logo Python library for voxel-based point cloud operations
pytreedb Logo Python library for the storage and sharing of single tree-based point clouds (incl. REST API and web frontend), see our web frontend instance https://pytreedb.geog.uni-heidelberg.de/
4DGeo Logo 4DGeo Dashboard for visualizing the results of change analysis in environmental point clouds, see our web instance https://3dgeo-heidelberg.github.io/4DGeo/

Documentation

Project Description Source code
AIMon Logo Documentation of 3DGeo outcomes in the project AIMon5.0, incl. example notebooks 3dgeo-heidelberg/aimon
VLS-4D teaser Showcase of the concept of virtual laser scanning of dynamic scenes (VLS-4D), incl. example notebooks: https://3dgeo-heidelberg.github.io/vls-4d/ 3dgeo-heidelberg/vls-4d

Open Educational Resources

Course Description Source code
ETRAINEE Logo Open e-learning course on time series analysis in remote sensing for understanding human-environment interactions: https://3dgeo-heidelberg.github.io/etrainee/ 3dgeo-heidelberg/etrainee
py4dgeo Logo Open-source Scientific Software py4dgeo for Change Analysis in 3D/4D Point Clouds (Tutorial session at the ISPRS Congress 2026): https://3dgeo-heidelberg.github.io/py4dgeo-tutorial/ 3dgeo-heidelberg/py4dgeo-tutorial
TRAIL Workshop on Archaeological Ground Point Filtering of LiDAR Point Clouds (TRAIL meeting 2025): https://3dgeo-heidelberg.github.io/trail-groundfiltering/ 3dgeo-heidelberg/trail-groundfiltering

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    Jupyter Notebook 295 57

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