- 1Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede, the Netherlands
- 22Excel Aviation, Northamptonshire, the UK
- 3National Institute for Laser, Plasma and Radiation Physics, Bucharest, Romania
- 4National Physical Laboratory, Teddington, the UK
- 5University of Zurich, Zurich, Switzerland
- 6King's College London, London, the UK
- 7Image Processing Lab (IPL), University of Valencia, Valencia, Spain
- 8The Open University, Milton Keynes, the UK
- 9Space Research and Technology Institute, Bulgarian Academy of Sciences, Sofia, Bulgaria
- 10University of Barcelona, Barcelona, Spain
Pan-European Network of Green Deal Agriculture and Forestry Earth Observation Science (PANGEOS) funded by the European Cooperation in Science and Technology (COST) organisation brings together researchers to share their expertise and bring up a new generation of scientists. In October 2024 PANGEOS conducted an intensive 5-day summer school where more than 20 participants learnt how to propagate uncertainty of spectral measurements to uncertainty in higher-level products. The training material in the form of Python Jupyter notebooks is publicly available on GitHub https://github.com/pangeos-cost/uq-training.
This presentation is going to highlight the steps of uncertainty propagation from ground measurements through vegetation indices and retrieved plant traits towards higher-level model estimates, like gross primary productivity and evapotranspiration. All three pathways of retrieval uncertainty estimation, regression-based (vegetation indices), radiative transfer model-based and hybrid, are demonstrated. In addition, challenges of uncertainty propagation through satellite imagery are discussed in a separate block.
Finally, a highlight of current and future activities of the PANGEOS COST action will be given.
Acknowledgement
This abstract is supported by the EU COST (European Cooperation in Science and Technology) Action CA22136 “Pan-European Network of Green Deal Agriculture and Forestry Earth Observation Science” (PANGEOS).
How to cite: Prikaziuk, E., Llewellyn, G., Mihai, L., Bialek, A., Hueni, A., Werfeli, M., Gomez-Dans, J. L., Verrelst, J., Garcia-Soria, J. L., Fennell, J., Ganeva, D., and Kefauver, S. C.: PANGEOS COST action: Uncertainty propagation in remote sensing , EGU General Assembly 2025, Vienna, Austria, 27 Apr–2 May 2025, EGU25-21750, https://doi.org/10.5194/egusphere-egu25-21750, 2025.
