TRUSTWORTHY SATELLITE-DERIVED DATA
Interoperable satellite-derived data
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Project objective
Laying the ground to develop expertise in earth observation metrology following QA4EO guidelines
Project objective
Tools and AI-supported refinements for CEOS-PVP Cal/Val matchup selection + analysis framework
Task: Tools, training, consultancy
- Uncertainty propagation and sensor comparison tools
The escalating number and variety of sensors places increased demands on post-launch calibration infrastructures. Met4EO is developing a Metrology for Earth Observation & Radiometry (MetEOR) toolkit: Python tools enabling comparisons of satellite sensors. This includes all tools used in the matchup pipeline for CEOS-PVP, and additional tools for BRDF modelling and atmospheric correction.
- Training
- Case studies
Applications of MetEOR toolkit were demonstrated, showcasing its flexibility across Earth observation workflows. These included atmospheric retrievals from HYPERNETS data, satellite harmonisation between Landsat TIRS and Sentinel-3 SLSTR, and validation against RadCalNet showing strong agreement with established methods.
MetEOR proved effective in building transparent, traceable processing chains for calibration, harmonisation, retrieval, validation, and uncertainty analysis. Additional case studies focussed on metrological approaches and uncertainty analysis, including a preliminary uncertainty budget for the Near-Nulling Radiometer and a practical approach for representing correlated uncertainty in hyperspectral products.
Met4EO Training on Uncertainty Analysis for Earth Observation Datasets 21/22 May 2026, Teddington, UK
CoMet Tutorial at VH-RODA 2025 Image: NPL
ESA FRM Workshop, 18 May 2026
