Sea ice monitoring in European Arctic Seas using a multisensor approach

TittelSea ice monitoring in European Arctic Seas using a multisensor approach
PublikasjonstypeBook Chapter
Utgivelseår2008
ForfattereSandven, S
Refereed DesignationUnknown
RedaktørBarale,, Gade, M
BoktittelRemote Sensing of the European Seas. Series: Springer Science+Business Media B.V.
Kapittel4
Antall sider487 – 498
Utgivelsedato2008
UtgiverSpringer Science and Business Media B. V
Sammendrag

Advances in satellite remote sensing of sea ice and icebergs in Arctic regions are described in case studies showing the benefits of using multi-sensor observations. It is demonstrated how Synthetic Aperture Ra- dar (SAR) used in combination with optical images can improve discrimi- nation of open water, nilas, young ice and three gradations of deformed first-year ice. The classification method is based on multi-sensor data fu- sion and neural network, where in situ observations were used for training of the algorithm. Synergetic use of scatterometer and passive microwave (PMW) data is well-established to estimate large scale ice motion, but in straits and marginal seas more detailed ice drift data are needed. In the Fram Strait SAR images from ENVISAT have been used to estimate ice drift and ice area flux since early 2004. It is demonstrated that SAR wide- swath images can provide more accurate and higher-resolution ice drift vectors compared to scatterometer and PMW data. Methods for retrieval of thickness for thin ice are available using thermal infrared, passive micro- wave and SAR data, but these methods are research-oriented and not used in regular monitoring. Laser and radar altimeter measurements from satel- lites have shown promising capability to observe sea ice freeboard and thickness for ice thicker than about one meter. Such data used in combina- tion with ice drift and ice types will provide new estimates of ice volume variability and fluxes. SAR and optical data have also been used to observe icebergs in the Barents Sea. The two data types are complementary and can improve iceberg detection if they are used in combination.

URLhttp://www.springerlink.com.pva.uib.no/content/g332lq0w514w612p/
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