Snow melt monitoring at Fugleberget, around Hornsund, Svalbard, 2014-2016

We present a multi-year high-resolution spatial data set on snow cover evolution in a catchment located in South-West Spitsbergen on Svalbard. The data set has significant potential for validation of satellite-derived snow extent (SE) products and provides unique baseline information for various studies in this high-Arctic setting. An automatic camera system was set near the summit of Fugleberget, overlooking an area of several square kilometres near the Hornsund Polish Polar Station. In total, 203 images obtained during three spring and summer seasons were orthorectified and georeferenced using a Matlab-based toolbox, followed by a GIS-based classification of the snow-covered area at a spatial scale of 0.72 km². The results allow for precise quantification of the snow-covered area in daily resolution over the entire ablation period. In the studied Fuglebekken catchment, the highest rate of snow disappearance was observed in late May/early June.

Data and Resources

Additional Info

Field Value
GCMD keywords
Dataset Center https://pangaea.de/
Maintainer
Dataset PI
  • PI name: Daniel Kępski  PI email: d.kepskifoo(at)igf.edu.pl  PI ORCID: 0000-0001-7903-2942  PI Institution: Institute of Geophysics, Polish Academy of Sciences
  • PI name: Bartłomiej Luks  PI email: luksfoo(at)igf.edu.pl  PI ORCID: 0000-0003-2287-385X  PI Institution: Institute of Geophysics, Polish Academy of Sciences
  • PI name: Krzysztof Migała  PI Institution: University of Wroclaw  PI Department: Department of Climatology and Atmosphere Protection
  • PI name: Tomasz Wawrzyniak  PI email: twawrzyniakfoo(at)igf.edu.pl  PI ORCID: 0000-0003-3393-753X  PI Institution: Institute of Geophysics, Polish Academy of Sciences
  • PI name: Sebastian Westermann  PI email: sebastian.westermannfoo(at)geo.uio.no  PI ORCID: 0000-0003-0514-4321  PI Institution: University of Oslo  PI Department: Department of Geosciences
  • PI name: Bronisław Wojtuń  PI Institution: University of Wroclaw  PI Department: Department of Ecology, Biogeochemistry and Environmental Protection
Dataset Owner
  • Owner name: Institute of Geophysics, Polish Academy of Sciences  Owner PIC (Participant Identification Code): 996625337  Owner address: ul. Ksiecia Janusza 64, 01-452 Warszawa, Poland
  • Owner name: University of Wroclaw  Owner PIC (Participant Identification Code): 999845155  Owner address: plac Uniwersytecki 1, 50-137 Wrocław
  • Owner name: University of Oslo  Owner PIC (Participant Identification Code): 999975814  Owner address: Problemveien 7, 0315 Oslo, Norwegia
Licence Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
Dataset status Complete
Activity type
  • photographs
  • maps
  • long-term monitoring
Access constraint Open
Embargo
Dataset modified
Version 1.0
Metadata created
Quality statement Quality controlled by manual inspection
Quality Editor Editor name: Bartłomiej Luks  Editor ORCID: 0000-0003-2287-385X  Editor Institution: Institute of Geophysics, Polish Academy of Sciences
Spatial distribution { "coordinates": [ [ [ 15.53151, 77.00713 ], [ 15.56566, 77.01195 ], [ 15.59619, 77.00135 ], [ 15.56376, 76.99213 ], [ 15.53278, 76.99167 ] ] ], "type": "Polygon" }
Region Hornsund, Svalbard
Start time 2014-04-08 10:00 UTC
End time 2016-07-18 10:00 UTC
Dataset citation Kepski, Daniel; Luks, Bartlomiej; Migala, Krzysztof; Wawrzyniak, Tomasz; Westermann, Sebastian; Wojtun, Bronislaw (2017): Snow melt monitoring at Fugleberget, around Hornsund, Svalbard, 2014-2016. PANGAEA, https://doi.org/10.1594/PANGAEA.874387
Dataset DOI https://doi.org/10.3390/rs9070733
Resource name
Publication
  • Publication title: Terrestrial Remote Sensing of Snowmelt in a Diverse High-Arctic Tundra Environment Using Time-Lapse Imagery  Publication DOI: https://doi.org/10.3390/rs9070733
Project
  • Project title: SSF Svalbard Strategic grant "Snow Monitoring Using Automatic Camera Systems at Svalbard Key Sites"  Project financing institution: Svalbard Science Forum, Research Council of Norway, project No. 236768/E10