Topics for theses

Topics for master's theses are primarily derived from our current research projects. If you are interested, please contact the relevant staff members.

Topics for Master's theses (MT)

• Development of a method for image-based evaluation of measurements of visibility depth in water with a Secchi disk. (Contact: David Mader & Katja Richter)
• Development of a method for the detection and quantitative determination of branch movements in multi-temporal laser scanner data sets (Contact: Anne Bienert and Katja Richter)
• Artificial intelligence-based classification of vegetation structures in 3D LiDAR data of forest ecosystems (Contact: Anne Bienert and Katja Richter)
• Analysis of the potential of the TreeAIBox for the evaluation of laser scanner data of trees in CloudCompare (Contact: Katja Richter and Anne Bienert)

Notes

Please ask the supervisors about the availability of the topics. For the selection of the topic, the processing, submission and evaluation of the thesis, please refer to our guidelines for theses.