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This paper presents a quantitative evaluation of the geometric accuracy that can be achieved with QuickBird imagery using the metadata provided with DigitalGlobe's image products. We explore two geometric models: the rational function model, and a rigorous sensor model based on camera, attitude, and ephemeris data included in the product metadata. We assess the rational function model against the rigorous sensor model, showing that the two models provide comparable geometric accuracy. We then assess the absolute geometric accuracy of a sample set of QuickBird products, measuring both the systematic geometric accuracy, and demonstrating the improvements which can be achieved using a full photogrammetric block adjustment.