Bartsch, Annett (2010): Spring snowmelt and midwinter thaw and refreeze north of 60°N based on Seawinds QuikScat 2000-2009 [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.834198, Supplement to: Bartsch, A (2010): Ten Years of SeaWinds on QuikSCAT for Snow Applications. Remote Sensing, 2(4), 1142-1156, https://doi.org/10.3390/rs2041142
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Abstract:
The scatterometer SeaWinds on QuikSCAT provided regular measurements at Ku-band from 1999 to 2009. Although it was designed for ocean applications, it has been frequently used for the assessment of seasonal snowmelt patterns aside from other terrestrial applications such as ice cap monitoring, phenology and urban mapping. This paper discusses general data characteristics of SeaWinds and reviews relevant change detection algorithms. Depending on the complexity of the method, parameters such as long-term noise and multiple event analyses were incorporated. Temporal averaging is a commonly accepted preprocessing step with consideration of diurnal, multi-day or seasonal averages.
Source:
Semmens, Kathryn Alese; Ramage, Joan; Bartsch, Annett; Liston, Glen E (2013): Early snowmelt events: detection, distribution, and significance in a major sub-arctic watershed. Environmental Research Letters, 8(1), 014020, https://doi.org/10.1088/1748-9326/8/1/014020
Trofaier, Anna Maria; Bartsch, Annett; Rees, William Gareth; Leibman, Marina O (2013): Assessment of spring floods and surface water extent over the Yamalo-Nenets Autonomous District. Environmental Research Letters, 8(4), 045026, https://doi.org/10.1088/1748-9326/8/4/045026
Wilson, Ryan R; Bartsch, Annett; Joly, Kyle; Reynolds, Joel H; Orlando, Anne; Loya, Wendy M (2012): Frequency, timing, extent, and size of winter thaw-refreeze events in Alaska 2001–2008 detected by remotely sensed microwave backscatter data. Polar Biology, 36(3), 419-426, https://doi.org/10.1007/s00300-012-1272-6
Zwieback, Simon; Bartsch, Annett; Melzer, Thomas; Wagner, Wolfgang (2012): Probabilistic Fusion of Ku- and C-band Scatterometer Data for Determining the Freeze/Thaw State. IEEE Transactions on Geoscience and Remote Sensing, 50(7), 2583-2594, https://doi.org/10.1109/TGRS.2011.2169076
Further details:
Bartsch, Annett; Kidd, Richard A; Wagner, Wolfgang; Bartalis, Zoltan (2007): Temporal and spatial variability of the beginning and end of daily spring freeze/thaw cycles derived from scatterometer data. Remote Sensing of Environment, 106(3), 360-374, https://doi.org/10.1016/j.rse.2006.09.004
Bartsch, Annett; Kumpula, Timo; Forbes, Bruce C; Stammler, Florian (2010): Detection of snow surface thawing and refreezing in the Eurasian Arctic with QuikSCAT: implications for reindeer herding. Ecological Applications, 20(8), 2346-2358, https://doi.org/10.1890/09-1927.1
Project(s):
Funding:
Seventh Framework Programme (FP7), grant/award no. 282700: Changing Permafrost in the Arctic and its Global Effects in the 21st Century
Coverage:
Latitude: 90.000000 * Longitude: 0.000000
Comment:
Data north of 60°N have been analysed for snowmelt patterns. Spring snowmelt timing (start and end) has been extracted based on diurnal thaw and refreeze detection (Bartsch et al. 2007). Mid winter thaw and refreeze which can be caused by rain on snow (ROS, Bartsch et al. 2010, Wilson et al. 2013) or fog (Semmens et al. 2013) has been extracted for November to February. Number of events with strong backscatter increase have been summed up for single years and all available winter periods. Data are provided as dbf or csv files with point measurements (id, coordinates + number of events (VALUE)). Spacing is 10 km. A shape file based on a filtered (close) image is provided as summary/preview of the mid winter data. Overview maps are also included in Bartsch (2010).
Parameter(s):
| # | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
|---|---|---|---|---|---|---|
| 1 | File content | Content | Bartsch, Annett | |||
| 2 | Uniform resource locator/link to file | URL file | Bartsch, Annett |
License:
Creative Commons Attribution 3.0 Unported (CC-BY-3.0)
Size:
4 data points