Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification
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下载链接：
https://data.bas.ac.uk/full-record.php?id=GB/NERC/BAS/PDC/01292
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资源简介：
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.
提供机构：
UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation
创建时间：
2020-01-24
