Institute of Geography
Topic
Underwater detection of vegetation using drones
PhD. program
Year of admission
2026
Name of the supervisor
Mgr. Miloš Rusnák, PhD.
Contact:
Receiving school
Prírodovedecká fakulta UK
Annotation
The aim of this work is to create and classify a complex 3D model of the channel bed by processing drone data using Structure from Motion (SfM) photogrammetry. The work focuses on detecting and reconstructing underwater vegetation, as well as identifying seasonal changes throughout the year. The work is based on model building using optical data obtained from drones and the automatic classification of different types of landforms based on cloud geometry. The results will be validated by a field survey. The physical parameters of the channel will be extracted from detailed 3D models, from which channel bathymetry will be calculated, channel bed structure, gravel bars, submerged vegetation and bed substrate below the water surface will be reconstructed, and individual habitats will subsequently be identified. This PhD position presents a valuable opportunity to contribute to ongoing research projects.