Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification
GB/NERC/BAS/PDC/01292
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.
Citation:
Tedstone, A., & Cook, J. (2020). Sentinel-2 imagery, S6, south-west Greenland, July 2017: Broadband albedo and surface type classification (Version 1.0) [Data set]. UK Polar Data Centre, Natural Environment Research Council, UK Research & Innovation. https://doi.org/10.5285/8e0a573d-61a4-4a6f-9fca-fc34cbd5fb45
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License
| Access: | No restrictions apply. |
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| Use: | This data is governed by the NERC data policy http://www.nerc.ac.uk/research/sites/data/policy/ and supplied under Open Government Licence v.3 http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/. |
Basic Information
| Creation Date: | 2020-01-08 |
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| Dataset Progress: | Complete |
| Dataset Language: | English |
| ISO Topic Categories: |
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| Parameters: |
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Additional Information
| Reference: | Cook et al. (accepted) Glacier algae accelerate melt rates on the western Greenland Ice Sheet, The Cryosphere Tedstone et al. (accepted) Algal growth and weathering crust state drive variability in Greenland Ice Sheet ice albedo, The Cryosphere |
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| Quality: | Good. Sentinel-2 acquisitions used were clear-sky over study area of interest. See Tedstone et al. (2020, TC) for details of classifier algorithm accuracy. | |
| Lineage/Methodology: | Sentinel-2 imagery (European Space Agency) downloaded from Sinergise, Slovenia and converted from L1C to L2A reflectance using ESA Sen2Cor at 20 m resolution. Reflectance data ingested into a Random Forests classifier which was first trained on field data acquired in "Multi-spectral unmanned aerial system imagery, S6, south-west Greenland, July 2017: Levels 2 (ground reflectance) and 3 (broadband albedo and surface type classification)" (DOI: 10.5285/77ca631f-a3a4-4f26-bc90-57bb17baa6fc), in order to generate classification maps of ice sheet surface type across the study area. A narrowband-to-broadband albedo conversion was also applied following Liang (2001, Remote Sensing of Environment). | |
Extent
| Temporal Coverage: | |
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| Start Date | 2017-07-20 |
| End Date | 2017-07-21 |
| Spatial Coverage: | |
| Latitude | |
| Southernmost | 66.61 |
| Northernmost | 67.62 |
| Longitude | |
| Westernmost | -51.01 |
| Easternmost | -48.43 |
| Altitude | |
| Min Altitude | N/A |
| Max Altitude | N/A |
| Depth | |
| Min Depth | N/A |
| Max Depth | N/A |
| Data Resolution: | |
| Latitude Resolution | N/A |
| Longitude Resolution | N/A |
| Horizontal Resolution Range | 1 meter - < 30 meters |
| Vertical Resolution | N/A |
| Vertical Resolution Range | N/A |
| Temporal Resolution | N/A |
| Temporal Resolution Range | N/A |
| Location: | |
| Location | Greenland |
| Detailed Location | S6, K-Transect, south-west Greenland Ice Sheet |
Instrumentation
| Data Collection: | Instrumentation: MicaSense RedEdge multispectral camera integrated onto Steadidrone Mavrik-M quadcopter. ASD FieldSpec Pro 3. |
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Storage
| Data Storage: | For each of the two satellite acquisitions: Level-3 albedo and surface type classification, NetCDF. |
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