Abstract
ABSTRACTWith more than 4 TB of data acquired every day, the Sentinel 2 mission poses new challenges for quality control (QC). To support the QC operations of Sentinel 2, a dedicated tool has been developed for improved efficiency and traceability of analyses. This tool aims at helping visual inspection by human operators through automatic product retrieval, generation of quicklook images and production of quality indicators.The article describes the product sampling strategy used to select products suitable for quality control checks. Then we present the methodology used to generate quicklooks, compute relative and multi-spectral co-registration performance. The final step is the production of end-to-end service performance indicators.Lessons learnt from the first year of operation of this tool are presented regarding detected product anomalies and measured performance trends.
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