Development of a remote sensing indicator framework for assessing resilience in temperate forests

Forests are increasingly affected by extreme weather events such as droughts, storms, and heat waves. These developments require new approaches to forest management and monitoring of forest ecosystems at different spatial scales. My research investigates the potential of remote sensing methods for deriving indicators of forest resilience. The focus is particularly on aspects such as tree species composition, forest structure, and vitality.

As part of the FoResLab project, a remote sensing-based indicator framework is being developed that will enable key factors of forest resilience to be recorded and evaluated on a large scale.

I have a bachelor's degree in geoecology from the University of Potsdam, where I developed a strong interest in geographic information systems and remote sensing. I then completed a master's degree in EAGLE (Applied Earth Observation and Geoanalysis of the Living Environment) at the University of Würzburg. Since February 2025, I have been working as a research assistant at HAWK (University of Applied Sciences and Arts) on the FoResLab project. Since January 2026, I have also been pursuing a doctorate at the University of Göttingen as part of this project.

In my research, I combine various remote sensing data - including aircraft- and drone-based laser scanning and satellite data—with in-situ measurements. The aim is to derive high-resolution and, at the same time, large-scale information for assessing forest resilience.


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