Improve Sentinel-2 time series consistency with S2SDB DataBase for operational image co-registration

Copernicus Sentinel-2 MSI satellite data exhibit variable geolocation spatial accuracy, resulting in a weak spatial coherence that significantly affect time series consistency at pixel level. Although the evolution of Sentinel-2 MSI processing baselines aims, among other objectives, to improve image co-registration with respect to a Global Reference Image (GRI), geospatial accuracy is still not adequate for detailed time series analysis.To undertake operational image co-registration, Sentinel-2 Shift DataBase (S2SDB) has been established. The S2SDB contains information about horizontal linear local shifts, generated using AROSICS software, which can be easily applied to any Sentinel-2 MSI spectral band or spatially explicit derived products, using various image processing software solutions. The DataBase, by releasing simple but relevant information with an open access data policy, can contribute to reduce time and computational effort required to significantly improve spatial coherence and time series consistency of Sentinel-2 MSI imagery.