
The Sentinel-2 satellite launch in mid-2015 has similar characteristics as the Landsat TM/ETM+/OLI satellites. Together, these satellites will in the future produce a tremendous quantity of optical images worldwide, with increasing temporal coverage towards higher latitudes due to their polar orbits. Due to this large amount of images, it will be increasingly difficult to manually choose the best glacier mapping scenes as currently done for glacier mapping methods. Often it is also not optimal to use only one scene due to regionally varying mapping conditions. To fully exploit the volume of multi-temporal images, methods for mapping glaciers should be revisited. To this end, we aim to create robust, automatic algorithms for glacier mapping applications, exploiting the multi-temporal signatures in the satellite data.
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