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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Bibliographic Details
Main Authors: Leidman, Sasha, Rennermalm, Asa, Muthyala, Rohi, Overeem, Irina, Guo, Qizhong, Chu, Vena
Format: Dataset
Language:English
Published: NSF Arctic Data Center 2020
Subjects:
Online Access:https://dx.doi.org/10.18739/a2wh2dg0d
https://arcticdata.io/catalog/view/doi:10.18739/A2WH2DG0D
Description
Summary: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.