Franziska Müller, M.Sc.

Doctoral Researcher
Research project ForEXD
Intern. Max Planck Research School for Global Biogeochemical Cycles (IMPRS-gBGC)

Main Focus

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.

Curriculum Vitae

Academic education:

  • 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
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