Snow melt monitoring at Fugleberget, around Hornsund, Svalbard, 2014-2016, supplement to: Kepski, Daniel; Luks, Bartłomiej; Migala, Krzysztof; Wawrzyniak, Tomasz; Westermann, Sebastian; Wojtun, Bronislaw (2017): Terrestrial remote sensing of snowmelt in a diverse High-Arctic tundra environment using time-lapse imagery. Remote Sensing, 9(7), 733
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 stu...
Main Authors: | , , , , , |
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Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
PANGAEA - Data Publisher for Earth & Environmental Science
2017
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Subjects: | |
Online Access: | https://dx.doi.org/10.1594/pangaea.874387 https://doi.pangaea.de/10.1594/PANGAEA.874387 |
Summary: | 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 kilometers 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 a 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 obtained from the Polish Polar Station Hornsund monitoring program. Automatic camera systems was funded by SMACS (project no. 236768 / E10; Svalbard Science Forum, Research Council of Norway). |
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