Knowledge-based sea ice classification by polarimetric SAR

• Published in: IEEE International IEEE International IEEE International Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004
• Main Authors: Skriver, Henning, Dierking, Wolfgang
• Format: Other Non-Article Part of Journal/Newspaper
• Language: English
• Published: IEEE 2004
• Subjects: Greenland; Beaufort Sea; Greenland Sea; Sea ice
• Online Access: https://orbit.dtu.dk/en/publications/ca81bfcb-8d73-4a32-bf71-bc4c44ca2a27; https://doi.org/10.1109/IGARSS.2004.1368995; https://backend.orbit.dtu.dk/ws/files/4190968/Skriver.pdf

Polarimetric SAR images acquired at C- and L-band over sea ice in the Greenland Sea, Baltic Sea, and Beaufort Sea have been analysed with respect to their potential for ice type classification. The polarimetric data were gathered by the Danish EMISAR and the US AIRSAR which both are airborne systems. A hierarchical classification scheme was chosen for sea ice because our knowledge about magnitudes, variations, and dependences of sea ice signatures can be directly considered. The optimal sequence of classification rules and the rules themselves depend on the ice conditions/regimes. The use of the polarimetric phase information improves the classification only in the case of thin ice types but is not necessary for thicker ice (above about 30 cm thickness)