Institute of Geography
Topic
AI for biodiversity: identifying the biodiversity patters based on Earth Observation data
PhD. program
Physical Geography, Geoecology and Geoinformatics
Year of admission
2024
Name of the supervisor
Mgr. Róbert Pazúr, PhD.
Contact:
Receiving school
Faculty of Natural Sciences, Comenius University, Bratislava
Annotation
Nowadays, machine learning is reaching our everyday life. Remote sensing benefits from machine learning, besides others, by automating the classifications, identifying the patterns in the time-series, or identification of the landscape patterns. The goal of this PhD is to develop monitoring of biodiversity and management of the grassland areas in the Alps and Carpathians based on AI combining the Landsat and Sentinel-1, Sentinel-2, Planetscope imagery, and orthophotos. The mapping will support the identification of grassland management and biodiversity and its documentation process. A successful candidate should be fluent in English and passionate about AI and remote sensing. This PhD position offers a great way to join the ongoing international research project funded by Biodiversa+.