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 |
Description |
 |
Python library / command line tool for high-fidelity LiDAR Simulation (Virtual Laser Scanning) |
 |
Python library for change analysis in multitemporal and 4D point clouds |
 |
Python library for voxel-based point cloud operations |
 |
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 Dashboard for visualizing the results of change analysis in environmental point clouds, see our web instance https://3dgeo-heidelberg.github.io/4DGeo/ |
| Course |
Description |
Source code |
 |
Open e-learning course on time series analysis in remote sensing for understanding human-environment interactions |
3dgeo-heidelberg/etrainee |
