Conference Agenda

Trust in EO information products is a fundamental condition for their uptake in official statistics. While EO offers unprecedented opportunities (global coverage, consistency, and timeliness), EO also introduces new challenges related to transparency, uncertainty, and alignment with established statistical frameworks. The workshop will explore how transparency, methodological robustness, and uncertainty quantification can strengthen confidence and trust in EO-derived information. What factors build or erode trust in EO data when used in official statistics? - How can we ensure transparency and reproducibility of EO workflows? - How should uncertainty be quantified and communicated? - What are the best practices for metadata and documentation ? - Which frameworks for data quality assessment are needed? Identify practical approaches to ensure that EO information products are not only scientifically robust, but also trusted, accepted, and usable within official statistical frameworks

This session will address the challenges and solutions for standardizing Earth Observation (EO)-based information within official statistical systems and frameworks, as well as how to build solid data quality standards. The workshop should aim to discuss what quality information does data users and producers need, and how to align this to existing international statistical standards. Topics can include ensuring consistency across spatial, temporal scales, alignments with thematic classifications, and policy reporting coherence, including interinstitutional mechanisms and harmonisation. Discussions around metadata standards, the role of international statistical guidelines, and the potential of EO to support harmonized statistics across countries are encouraged.