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A multisensor approach to sea ice classification for the validation of DMSP-SSM/I passive microwave derived sea ice productsThe validation of sea ice products derived from the Special Sensor Microwave Imager (SSM/I) on board a DMSP platform is examined using data from the Landsat MSS and NOAA-AVHRR sensors. Image processing techniques for retrieving ice concentrations from each type of imagery are developed and results are intercompared to determine the ice parameter retrieval accuracy of the SSM/I NASA-Team algorithm. For case studies in the Beaufort Sea and East Greenland Sea, average retrieval errors of the SSM/I algorithm are between 1.7 percent for spring conditions and 4.3 percent during freeze up in comparison with Landsat derived ice concentrations. For a case study in the East Greenland Sea, SSM/I derived ice concentration in comparison with AVHRR imagery display a mean error of 9.6 percent.
Document ID
Document Type
Reprint (Version printed in journal)
Steffen, K.
(Zuerich Eidgenoessische Technische Hochschule, Zurich, Switzerland)
Schweiger, A. J.
(Cooperative Institute for Research in Environmental Sciences Boulder, CO, United States)
Date Acquired
August 14, 2013
Publication Date
January 1, 1990
Publication Information
Publication: Photogrammetric Engineering and Remote Sensing
Volume: 56
ISSN: 0099-1112
Subject Category
Accession Number
Funding Number(s)
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