NDLI: Thin sea ice identification in the Kara Sea using AMSR-E data

Content Provider	IEEE Xplore Digital Library
Author	von Lerber, A. Makynen, M. Simila, M. Sievinen, P. Hallikainen, M.T.
Copyright Year	2012
Description	Author affiliation: Finnish Meteorological Institute, P.O.Box 503, FI-00101 Helsinki, Finland (Makynen, M.; Simila, M.) \|\| Aalto University, P.O. Box 13000 FI-00076, Finland (von Lerber, A.; Sievinen, P.; Hallikainen, M.T.)
Abstract	In this study we have examined the identification of polynyas in the Kara Sea region with AMSR-E radiometer data. We have utilized a threshold value of the spectral gradient of vertically polarized brightness temperatures between frequencies 89 GHz and 36 GHz. As a comparison, ice thickness defined from the surface temperature measured with MODIS, is used. In clear sky conditions the correspondence is good, 72 % of all thin ice pixels with a mean thickness up to 15 cm were correctly identified, and 3.4 % were mischaracterized as thin ice, when these, according to MODIS thickness charts, were thicker than 40 cm. The precise definition of the ice thickness, according to our study, was not possible, unlike reported in some previous studies.
Starting Page	4477
Ending Page	4480
File Size	299458
Page Count	4
File Format	PDF
ISBN	9781467311601
ISSN	21536996
e-ISBN	9781467311595
e-ISBN	9781467311588
DOI	10.1109/IGARSS.2012.6350477
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-22
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Ice thickness MODIS Sea ice Microwave radiometry Ocean temperature Sea measurements ice thickness algorithm polynya identification AMSR-E
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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AMSR/AMSR-E algorithm development and data distribution

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