MSc Topics


Master students interested in writing a thesis in remote sensing are very welcome to approach us to discuss their ideas and suggestions. In general, you should think about your interests, the skills you like to acquire and potential career paths. You should be excited about your topic, as you'll work on it for some months. Just pass by and talk with us about themes you find fascinating, interesting, or simply fun. For your inspiration, we occasionally advertise for specific Master theses. You can find these calls for Master theses below.

show all

Assessing crop status from drones and satellites

In this master thesis, field data and multispectral data with drones will be collected from agricultural fields to train a machine learning tool for leaf parameter extraction.
More information (PDF, 483 KB)
Quirina Merz

Uncertainty in field spectroscopy

The main aim of the proposed master project is to establish the uncertainty of spectral ground reference points (SGCPs) due to sampling method and to explore the link between repeatability, sampling method, foreoptic and uncertainty.
More information (PDF, 597 KB)
Andy Hueni

Winter wheat senescence dynamics

The main aim of the proposed master project is to evaluate the potential of repeated hyperspectral reflectance measurements during grain filling to measure overall canopy greenness in the stay-green phase and track differences in the vertical and temporal progression of rapid physiological senescence.
More information (PDF, 452 KB)
Andreas Hund, Jonas Anderegg

Soybean leaf senescence

In this master thesis you will explore the capabilities of spectral sensing in combination with basic machine learning to investigate senescence dynamics of soybean under field conditions.
More information (PDF, 281 KB)
Helge Aasen

Terrestrial LiDAR for forest monitoring

In this MSc, TLS and field data will be collected and the correlation between the ecological value of tree stems and the variations of its surfaces will be analyzed.
More information (PDF, 32 KB)
Felix Morsdorf

Drone based vegetation surveys on pollination ecosystem services

This master thesis in embedded in the FRAGMENT project, which aims to predict understand ecosystem service provision by pollinators and pest control agents from environmental traits. The aim of the thesis is to develop a drone driven approach to revolutionize floral mapping.
More information (PDF, 76 KB)

APEX Vicarious Calibration/Validation

This master thesis aims at establishing an automated method for vicarious calibration of APEX data for scenes where no ground validation sets exist. If you are interested, please see the thesis announcement for more information.
More information (PDF, 831 KB)
Andy Hueni

This master thesis aims to assess the impact of the dual instrument setup against traditional methods under different environmental conditions (illumination, proximity of adjacent objects).
More information (PDF, 1375 KB)
Andy Hueni

Thermal diversity and microhabitat controls on plant occurrence and vegetation composition in highalpine ecosystems

These two master theses aim at assessing the distribution of thermal microhabitats on mountain summits in the region of the Swiss National Park. 
More information (PDF, 229 KB)
Mathias Kneubühler

Further potential topics

Laser remote sensing of vegetation

Felix Morsdorf

Analyzing polarimetric signatures of natural and man-made objects in high-resolution airborne SAR data

Daniel Henke
Deriving structure and moisture information of forests from multi-frequency SAR data

Daniel Henke

Analyzing the variability of the ITCZ signal and comparing it with climate and vegetation indices in the tropics

Daniel Henke

Spectroscopic Data Calibration and Validation
Andy Hueni

Imaging spectroscopy of ecosystems in the Swiss National Park
Mathias Kneubühler

Wet snow cover estimation from SAR backscatter time series
David Small

Time-series analysis of SAR backscatter
David Small

Geometric calibration of SAR sensors
David Small

Image-based fusion of SAR and optical remote sensing data
Adrian Schubert

Time series analysis of optical data using the Google Earth Engine
Hendrik Wulf