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Multisensor Satellite Monitoring of the Snow Cover and its Relation to Plant Distribution and Growing Season on Svalbard

Multisensor Satellite Monitoring of the Snow Cover and its Relation to Plant Distribution and Growing Season on Svalbard
Abstract Category: 
2.1. Observations of Arctic Change
Type: 
Poster
Eirik Malnes1, Stein Rune Karlsen2, Bernt Johansen3, Kjell Arild Høgda4
1Northern Research Institute Tromsø, P.O.Box 6434, Tromsø, 9294, Norway, eirik [dot] malnes [at] norut [dot] no
2Northern Research Institute Tromsø, Tromso, Norway, stein-rune [dot] karlsen [at] norut [dot] no
3Northern Research Institute Tromsø, Tromso, Norway
4Northern Research Institute Tromsø, Tromso, Norway

Changes in the timing of the last and first day with snow cover are among the most sensitive indicators of climate change. By the end of the century, northeastern parts of Svalbard could experience a 6-8°C increase in annual temperatures due to decreasing sea-ice coverage. Hence, it is of the utmost importance to monitor the present state and ongoing changes. The snow cover is an especially important ecological factor affecting soil moisture, plant survival, plant community composition and controlling the length of the growing season.

This paper describes the most recent snow cover maps developed for the entire Svalbard archipelago. A ten-year long climate record on snow has been developed using Terra MODIS and Envisat ASAR satellite data from 2000 and 2003, respectively. Daily time-series of snow cover are used to derive the spatial distribution of snow, assessing the first day of snow free conditions in early summer, first day of snow in autumn and the annual number of snow free days. Corresponding yearly and average maps for the ten-year period have been produced. The developed map products provide valuable information about the exact timing of snow and its relationship to the variability of growing season, biodiversity and vegetation cover. A daily multisensor/multitemporal cloud free fractional snow cover area product is automatically generated based on multitemporal interpolation in combination with multisensoral fusion of SAR and optical data. At local scales we also introduce high-resolution snow maps from SAR sensors like TerraSAR-X and Radarsat-2 to study detailed snow melting patterns at the 2-5 meter scale.

By comparing the derived snow maps to Landsat TM based vegetation maps and to Terra MODIS based growing season maps, an intimate correlation between snow cover, vegetation composition and distribution of species are recorded. At the local scale, the amounts of snow varies in the terrain with a tiny snow cover on ridges and heavy snow in depressions. At the regional scale, the most varied vegetation is located in the inner Isfjord area with early snowmelt and a regionally long growing season. On the opposite side, the Arctic Polar Desert Zone which is located in the eastern and northernmost areas, is characterized by an extremely short growing season. Due to an abbreviated growing season only a few vascular plants are adapted to these harsh growing conditions.

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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
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
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.