3DGeo Research Group

In the 3D Geospatial Data Processing (3DGeo) Research Group of Prof. Dr. Bernhard Höfle, we investigate and develop computational methods for the geographic analysis of 3D/4D point clouds and design participatory STEM education concepts.

We increase the fundamental understanding of geographic phenomena by observing and analyzing them in full 3D, in near real-time with high spatial and temporal resolution. Our strengths lie in LiDAR simulation, 3D change analysis and machine learning, and we are committed to open science and education.

Our novel methods can be applied to study physical processes (e.g. geomorphology, vegetation), anthropogenic landscapes (e.g. emission reduction) and inherent human-environmental interactions (e.g. natural hazards, forestry, agriculture and archaeology). 

The 3DGeo Research Group closely collaborates with the TdLab Geography, combining geoinformatics with transdisciplinary research and innovative research-based teaching to address societal challenges such as climate mitigation and environmental change using data-driven approaches.

Our latest news can also be found on our social media channels at ResearchGate, LinkedIn, Bluesky, Instagram and YouTube.