Research fields

The research areas of the DigiFor professorship can be derived directly from the description of the value chain and cover the following areas:

DigiFor research areas

Precise 3D capture and sensor technology (surveying):

• Development and use of UAV LiDAR and terrestrial laser scanning (TLS) for high-precision 3D capture of forestry objects (e.g., individual trees, stands).
• Integration of networked sensor technology in the forest.
• Secure integration and analysis of machine and operational data (e.g., StanForD data).

Data fusion and artificial intelligence (understanding):

• Methods for data fusion and quality control of heterogeneous forestry data.
• Development of AI models and algorithms for automated analysis of stand parameters, productivity, risks, and wood quality.

Digital twins and augmented reality (decision-making):

• Design and implementation of digital twins of forestry systems for planning and simulation.
• Development of XR applications (extended reality) for education, training, and operational support in the field.

Practical tools and interfaces (action):

• Development of ready-to-use software tools (e.g., GIS plugins, web apps, mobile apps) for forestry operations.
• Design of functional interfaces for data exchange and integration into existing operational processes.

This research is being piloted in a real-world laboratory (from individual trees to regional planning) in collaboration with industry partners and supported by specialized infrastructure such as the XRForest Lab and the Mechatronics Sensorics Laboratory.