🎓 Hands-on Training Session
📅 Date: Monday 18th October
📍 Location: Vienna University of Technology (Austria)
On this page you’ll find links to the training materials.
This session covers key concepts around uncertainties, with guided exercises using the CoMet toolkit. You will:
- Gain a conceptual overview of uncertainties in Earth Observation data processing.
- Learn how to use the CoMet tools in practical workflows.
- Apply methods through interactive notebooks hosted on Google Colab.
Exercises
Links and descriptions of the hands‑on exercises for this training session.
Exercise 1: Uncertainty Propagation Basics (Click here to open exercise)
• Simple measurement functions
• Manual specification of input uncertainties
• MC and LPU uncertainty propagation methods
Exercise 2: Error Correlation in EO Datasets (Click here to open exercise)
• Simple measurement functions
• Propagating error correlation information
• Random and systematic uncertainties
Exercise 3: From Spectrometer Measurements to NDVI (Click here to open exercise)
• Spectrometer example from demo and uncertainty tree diagram session
• Propagate uncertainties from raw data, to reflectance and NDVI
• Random and systematic uncertainties
(If time allows) Exercise 4: Uncertainty propagation for inidividual products in a timeseries
• Often, products are processed one at a time, and thus uncertainties need to align with this
• This exercise explores handling error correlation in such situations.
✅ Solutions
Exercise solutions will be added after the workshop.