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Detection of Snow Surface Thawing and Refreezing Using Satellite Data: Implications for Reindeer Herding

Detection of Snow Surface Thawing and Refreezing Using Satellite Data: Implications for Reindeer Herding
Abstract Category: 
3.3. Arctic System Change
Type: 
Parallel
Time: 
17 March 2010 - 4:50pm - 5:05pm
Annett Bartsch1, Timo Kumpula2, Bruce Forbes3, Florian Stammler4
1Institute of Photogrammetry and Remote Sensing, Vienna University of Technology, Gusshausstrasse 27-29, Vienna, Austria, ab [at] ipf [dot] tuwien [dot] ac [dot] at
2University of Joensuu, Finland
3University of Lapland, Rovaniemi, Finland
4University of Lapland, Rovaniemi, Finland

Snow conditions play an important role for reindeer herding. In particular, the formation of ice crusts after rain-on-snow (ROS) events or general surface thawing with subsequent refreezing impedes foraging. Such events can be monitored using satellite data. A monitoring scheme has been developed for observation at the circumpolar scale based on data from the active microwave sensor Seawinds QuikScat (Ku-band) which is sensitive to changes on the snow surface. Most events occur in November and April in Northern Eurasia. Ice layers in late winter have an especially negative effect on reindeer as they are already weakened. An example for implications on reindeer herding on the Yamal peninsula is presented.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
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International Arctic Science Committee
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Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
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World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.