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Regional glacier mapping from time-series of Landsat type data

Authors: Solveig H. Winsvold; Andreas Kääb; Christopher Nuth;

Regional glacier mapping from time-series of Landsat type data

Abstract

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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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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