Institute of Geography
Topic
Tree segmentation from point cloud data using an AI algorithm
PhD. program
Year of admission
2026
Name of the supervisor
Mgr. Miloš Rusnák, PhD.
Contact:
Receiving school
Prírodovedecká fakulta UK
Annotation
The aim is to classify the point cloud using machine learning and deep learning methods (AI) with a focus on vegetation. For vegetation detection, methods will be employed to directly classify point clouds from LiDAR in the Python programming language, utilising artificial intelligence techniques within the TensorFlow libraries (and others). Training and test regions will be manually selected from measured point clouds. The work focuses on woody vegetation in riparian zones of watercourses with various successional stages. A dynamic series of point cloud data will be used to understand the process of vegetation succession and to identify the spatiotemporal trajectories of vegetation at different successional stages (transition from succession to rejuvenation or stability). This PhD position presents a valuable opportunity to contribute to ongoing research projects.