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.