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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) system embarked on the Terra (EOS AM-1) satellitehas been a source of stereoscopic images covering the whole globe at a 15m resolution at a consistent quality for over 15 years. Thepotential of this data in terms of geomorphological analysis and change detection in three dimensions is unrivaled and needs to beexploited. However, the quality of the DEMs and ortho-images currently delivered by NASA (ASTER DMO products) is often ofinsufficient quality for a number of applications such as mountain glacier mass balance. For this study, the use of Ground ControlPoints (GCPs) or of other ground truth was rejected due to the global “big data” type of processing that we hope to perform on theASTER archive. We have therefore developed a tool to compute Rational Polynomial Coefficient (RPC) models from the ASTERmetadata and a method improving the quality of the matching by identifying and correcting jitter induced cross-track parallax errors.Our method outputs more accurate DEMs with less unmatched areas and reduced overall noise. The algorithms were implemented inthe open source photogrammetric library and software suite MicMac

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

IMPROVEMENT OF DEM GENERATION FROM ASTER IMAGES USING SATELLITE JITTER ESTIMATION AND OPEN SOURCE IMPLEMENTATION