Thermal hyperspectral mapping of canopy dieback in bark beetle affected forests of Bavarian Forest National Park
The topic is open and also suitable for:
- GEM students track 1 – GEM for Urban-Rural Interactions
- GEM students in track 3 – GEM for Ecosystems & Natural Resources.
Bark beetle outbreaks have transformed large areas of Central European spruce forests, including the Bavarian Forest National Park. Warming temperatures and recurring droughts weaken trees, making them more susceptible to beetle attacks and leading to widespread canopy dieback. These disturbances do not only change the visual appearance of the forest; they also modify local microclimates by altering shading, evapotranspiration, and wind exposure. Canopy gaps and standing dead wood can create hotter and drier conditions at the forest floor, while regenerating understorey and mixed-species stands may gradually re-establish cooler, more buffered microclimates.
Understanding how canopy dieback reshapes microclimate is crucial for predicting forest regeneration, biodiversity responses, and future resilience to climate extremes. However, microclimate is highly heterogeneous and difficult to monitor with sparse ground sensors alone. Thermal hyperspectral remote sensing provides a powerful means to map canopy temperature and stress indicators continuously across landscapes, capturing fine spatial details that are often overlooked by coarse-resolution climate products.
The Bavarian Forest National Park offers a unique “natural laboratory” for studying these processes, featuring large unmanaged bark beetle disturbance patches, strong gradients in forest structure, and long-term monitoring data. By combining thermal hyperspectral imagery, ancillary forest data, and spatial modelling, this MSc topic will reveal how bark beetle–driven canopy dieback alters microclimate patterns, where cooling or warming hotspots emerge, and how these relate to forest structure and regeneration stages. The results can inform park management on climate-smart conservation strategies and contribute to methods for monitoring disturbance–microclimate interactions in other mountain forest ecosystems.
This study aims to quantify how bark beetle disturbance alters forest canopy condition and local microclimate by combining thermal and hyperspectral remote sensing in the Bavarian Forest National Park. The student will (i) map spatial patterns and gradients of canopy dieback in spruce-dominated stands affected by bark beetle outbreaks, and (ii) relate these patterns to changes in canopy temperature and microclimatic conditions at fine spatial scales.
Thermal hyperspectral data (e.g., airborne and satellite-based imagery) will be used to derive surface and canopy temperatures, thermal anomalies, and indicators of moisture stress. Hyperspectral reflectance will be processed to calculate narrow-band vegetation indices and spectral traits linked to pigment content, canopy water status, and structural changes. Existing park datasets (e.g. bark beetle infestation maps, forest stand maps, LiDAR-based canopy height models, and microclimate or weather station measurements) will be integrated to characterise forest structure and validate remotely sensed microclimate patterns.
Different analytical approaches (e.g. time-series analysis, change detection, spatial statistics, and machine learning regression/classification) will be explored to (i) distinguish bark beetle–induced canopy dieback from background variability in healthy stands and (ii) identify key environmental controls (topography, stand structure, distance to edges, disturbance history) that explain where canopy dieback most strongly modifies microclimate.
- Abdullah, H., Darvishzadeh, R., Skidmore, A. K., & Heurich, M. (2019). Sensitivity of Landsat-8 OLI and TIRS data to foliar properties of early stage bark beetle (Ips typographus, L.) infestation. Remote sensing, 11(4), 398.
- Majdák, A., Jakuš, R., & Blaženec, M. (2021). Determination of differences in temperature regimes on healthy and bark-beetle colonised spruce trees using a handheld thermal camera. iForest-Biogeosciences and Forestry, 14(3), 203.
- Hais, M., & Kučera, T. (2008). Surface temperature change of spruce forest as a result of bark beetle attack: remote sensing and GIS approach. European Journal of Forest Research, 127(4), 327-336.