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When you map the entire Earth every 5 days with the aim of generating high-quality time series over land, there is no room for geometrical error: the algorithms have to be stable, reliable, and precise. Rugged, a new open-source library for pixel geolocation, is at the geometrical heart of the operational processing for Sentinel-2. Rugged performs sensor-to-terrain mapping taking into account ground Digital Elevation Models, Earth rotation with all its small irregularities, on-board sensor pixel individual lines-of-sight, spacecraft motion and attitude, and all significant physical effects. It provides direct and inverse location, i.e. it allows the accurate computation of which ground point is viewed from a specific pixel in a spacecraft instrument, and conversely which pixel will view a specified ground point. Direct and inverse location can be used to perform full ortho-rectification of images and correlation between sensors observing the same area. Implemented as an add-on for Orekit (Orbits Extrapolation KIT; a low-level space dynamics library), Rugged also offers the possibility of simulating satellite motion and attitude auxiliary data using Orekit's full orbit propagation capability. This is a considerable advantage for test data generation and mission simulation activities. Together with the Orfeo ToolBox (OTB) image processing library, Rugged provides the algorithmic core of Sentinel-2 Instrument Processing Facilities. The S2 complex viewing model - with 12 staggered push-broom detectors and 13 spectral bands - is built using Rugged objects, enabling the computation of rectification grids for mapping between cartographic and focal plane coordinates. These grids are passed to the OTB library for further image resampling, thus completing the ortho-rectification chain. Sentinel-2 stringent operational requirements to process several terabytes of data per week represented a tough challenge, though one that was well met by Rugged in terms of the robustness and performance of the library.