Ongoing MSc Theses
Huggel, Jeremiah GEO | Assessing Machine Learning Methods to Detect Bois Noir in Vineyards - Towards a systematic monitoring approach with spectroradiometry and RPAS data to reduce farmers’ manual detection time | Prof. Dr. Meredith Schuman |
Larcher, Daria ESS | Developing a machine learning model based on Earth Observation data to predict grass growth and assess the impact of drought on Swiss grasslands | Dr. Helge Aasen Dr. Andreas Hüni Prof. Dr. Meredith Schuman |
Completed MSc Theses
2024 | ||
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Kurath, Dave GEO | Hyperspectral leaf spectroscopy reveals the drought response of Fagus sylvatica seedlings from across the species’ range. PDF | Dr. Sofia van Moorsel Prof. Dr. Meredith Schuman |
2022 | ||
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Gretler, Charis GEO | Mapping change of functional forest traits and diversity using airborne laser scanning in the canton Aargau 2014-2019 PDF | PD Dr. Felix Morsdorf Prof. Dr. Ross Purves Dr. Daniel Kükenbrink Prof. Dr. Meredith Schuman |
2021 | ||
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Buffat, Jim Spec. MA | USING ADVERSARIAL NETWORKS AND INVARIANCE FOR VERTICAL CANOPY STRUCTURE REGRESSION PDF | PD Dr. Felix Morsdorf Prof. Dr. Alexander Damm |
2020 | ||
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Bornand, Aline Spec. MA | Large-scale individual tree classification using airborne laser scanning in temperate mixed forests PDF | PD Dr. Felix Morsdorf Dr. Meinrad Abegg Prof. Dr. Alexander Damm |
2019 | ||
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Luck, Manuel Spec. MA | PD Dr. Felix Morsdorf Daniel Kükenbrink Prof. Dr. Michael Schaepman |