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Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification
GB/NERC/BAS/PDC/01292

Summary

Abstract:
This dataset consists of (1) broadband albedo calculated using a narrowband-to-broadband approximation and (2) surface type classification into snow, clean ice, light algae, heavy algae, cryoconite and water, as determined by a supervised classification algorithm, as applied to Sentinel-2 overpasses of S6, K-transect, south-west Greenland on 20 and 21 July 2017.

Funding was provided by the NERC standard grant NE/M021025/1.

Keywords:
UAS, albedo, ice, remote sensing

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