Department Biogeochemical Integration (BGI)
Research group Climate-ecosystem-disturbance interactions
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)
My research interests and work focus on understanding the impact of forest disturbances such as fire, wind, drought, and insect outbreaks on forest decline. The lack of long-term observational records linking forest stress and mortality to specific causes of disturbance makes it difficult to attribute these events to climate change. I am working on using remote sensing data at high spatial and temporal resolutions, along with machine learning techniques, to distinguish between different types of disturbances. I am currently developing deep-learning models to identify large wind throw and bark beetle outbreaks in a case-study region in North America using Sentinel 2 reflectance data. The study evaluates the relevance of different features for distinguishing between these two disturbance types.
- Since 2023: PhD student in Remote Sensing and Earth Sciences at the University of Valencia, Spain on the topic "Forest Disturbance Classification using Deep Learning Approaches".
- 2020 - 2022: M.Sc. in Software Engineering and at the University of Applied Sciences Upper Austria, Austria.
- 2020 - 2022: M.Sc. in Artificial Intelligence and Security at Università della Calabria, Italy.
- 2016 - 2020: B.Sc. in Bioprocess Informatics at the University of Applied Sciences Weihenstephan/Triesdorf, German