Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017
Data associated with the Geophysical Research Letters publication "The Presence and Widespread Distribution of Dark Sediment in Greenland Ice Sheet Supraglacial Streams Implies Substantial Impact of Microbial Communities on Sediment Deposition and Albedo". The data includes unmanned aerial...
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Online Access: | https://dx.doi.org/10.18739/a2wh2dg0d https://arcticdata.io/catalog/view/doi:10.18739/A2WH2DG0D |
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ftdatacite:10.18739/a2wh2dg0d 2023-05-15T16:26:52+02:00 Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 Leidman, Sasha Rennermalm, Asa Muthyala, Rohi Overeem, Irina Guo, Qizhong Chu, Vena 2020 text/xml https://dx.doi.org/10.18739/a2wh2dg0d https://arcticdata.io/catalog/view/doi:10.18739/A2WH2DG0D en eng NSF Arctic Data Center Greenland Ice Sheet Sediment Supraglacial Stream Albedo Cryoconite Surface Mass Balance Hydrology Sediment Transport dataset Dataset 2020 ftdatacite https://doi.org/10.18739/a2wh2dg0d 2021-11-05T12:55:41Z Data associated with the Geophysical Research Letters publication "The Presence and Widespread Distribution of Dark Sediment in Greenland Ice Sheet Supraglacial Streams Implies Substantial Impact of Microbial Communities on Sediment Deposition and Albedo". The data includes unmanned aerial vehicle (UAV/drone) imagery and digital elevation model (DEM) of the study site, a classified raster dataset of the stream area identified as either clean stream bed or sediment cover, an interpolated raster dataset showing the water depth at the time of the UAV flight, a spreadsheet of recorded water level over a week long person at the bottom of the stream reach, and a time lapse video of a nearby stream showing the diurnal fluctuation in floodplain exposure. This data is meant to provide supplementary information to support the claims made in the aforementioned manuscript and provide evidence that bacterial flocculation is necessary to have extensive cryoconite deposition within supraglacial streams. Dataset Greenland Ice Sheet DataCite Metadata Store (German National Library of Science and Technology) Greenland |
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Open Polar |
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DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Greenland Ice Sheet Sediment Supraglacial Stream Albedo Cryoconite Surface Mass Balance Hydrology Sediment Transport |
spellingShingle |
Greenland Ice Sheet Sediment Supraglacial Stream Albedo Cryoconite Surface Mass Balance Hydrology Sediment Transport Leidman, Sasha Rennermalm, Asa Muthyala, Rohi Overeem, Irina Guo, Qizhong Chu, Vena Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
topic_facet |
Greenland Ice Sheet Sediment Supraglacial Stream Albedo Cryoconite Surface Mass Balance Hydrology Sediment Transport |
description |
Data associated with the Geophysical Research Letters publication "The Presence and Widespread Distribution of Dark Sediment in Greenland Ice Sheet Supraglacial Streams Implies Substantial Impact of Microbial Communities on Sediment Deposition and Albedo". The data includes unmanned aerial vehicle (UAV/drone) imagery and digital elevation model (DEM) of the study site, a classified raster dataset of the stream area identified as either clean stream bed or sediment cover, an interpolated raster dataset showing the water depth at the time of the UAV flight, a spreadsheet of recorded water level over a week long person at the bottom of the stream reach, and a time lapse video of a nearby stream showing the diurnal fluctuation in floodplain exposure. This data is meant to provide supplementary information to support the claims made in the aforementioned manuscript and provide evidence that bacterial flocculation is necessary to have extensive cryoconite deposition within supraglacial streams. |
format |
Dataset |
author |
Leidman, Sasha Rennermalm, Asa Muthyala, Rohi Overeem, Irina Guo, Qizhong Chu, Vena |
author_facet |
Leidman, Sasha Rennermalm, Asa Muthyala, Rohi Overeem, Irina Guo, Qizhong Chu, Vena |
author_sort |
Leidman, Sasha |
title |
Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
title_short |
Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
title_full |
Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
title_fullStr |
Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
title_full_unstemmed |
Unmanned aerial vehicle (UAV) imagery and digital elevation model (DEM) of a supraglacial stream in southwest Greenland (67.153 N, -50.000 W) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
title_sort |
unmanned aerial vehicle (uav) imagery and digital elevation model (dem) of a supraglacial stream in southwest greenland (67.153 n, -50.000 w) as well as classification raster of sediment covered areas, water depth raster, stage timeseries, and time-lapse video 2017 |
publisher |
NSF Arctic Data Center |
publishDate |
2020 |
url |
https://dx.doi.org/10.18739/a2wh2dg0d https://arcticdata.io/catalog/view/doi:10.18739/A2WH2DG0D |
geographic |
Greenland |
geographic_facet |
Greenland |
genre |
Greenland Ice Sheet |
genre_facet |
Greenland Ice Sheet |
op_doi |
https://doi.org/10.18739/a2wh2dg0d |
_version_ |
1766015877126291456 |