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
| Creation Date: | 2020-01-08 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
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| Parameters: |
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| Personnel: | |
| Name | Joseph Cook |
| Role(s) | Investigator |
| Organisation | University of Sheffield |
| Name | Andrew Tedstone |
| Role(s) | Investigator, Technical Contact |
| Organisation | University of Bristol |
| Name | Martyn Tranter |
| Role(s) | Investigator |
| Organisation | University of Bristol |
| Parent Dataset: | N/A |