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Abstract—Glaciated regions are known to be particularly sensitive to climate change. Historical archives of glacier volume change are important as they provide context for present-day changes. Although photogrammetric archives exist for many regions, their usefulness is often limited by a lack of contemporary ground control. High quality digital elevation models (DEMs) underpin a range of change analysis activities. This paper presents a cost-effective solution which utilizes ASTER DEMs as control for scaling and orientation of archival datasets. Instead of relying upon ground control points, a robust surface matching algorithm is employed to automatically determine the transformation required to register two overlapping DEMs. Through application to the Slakbreen glacier system in Svalbard, Norway, the strategy is assessed by firstly matching a