🎓 Hands-on Training Session
📅 Date: Thursday 12th November
📍 Location: Imperial College London
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 Link Here)
• Simple measurement functions
• Manual specification of input uncertainties
• MC and LPU uncertainty propagation methods
Exercise 2: Error Correlation in EO Datasets (Click Link Here)
• Simple measurement functions
• Propagating error correlation information
• Random and systematic uncertainties
Exercise 3: From Spectrometer Measurements to NDVI (Click Link Here)
• 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 individual products in a timeseries (Click Link Here)
• 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.