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Author Oza, Sandip R. ♦ Singh, R. K. K. ♦ Vyas, N. K. ♦ Gohil, B. S. ♦ Sarkar, Abhijit
Source SpringerLink
Content type Text
Publisher Springer-Verlag
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Natural sciences & mathematics ♦ Earth sciences
Subject Keyword Sea-Ice identification ♦ Scatterometer ♦ QuikSCAT ♦ Spatio-temporal coherence ♦ Earth Sciences ♦ Remote Sensing/Photogrammetry
Abstract The identification of sea-ice has frequently been cited as one of the most important tasks for deriving the sea-ice parameters and to avoid erroneous retrieval of wind vector over sea-ice infested oceans using space-borne scatterometer data. Discrimination between sea-ice and ocean is ambiguous under the high wind and/or thin/scattered ice conditions. The pre-launch technique developed for Oceansat-2, utilizes the dual-polarized QuikSCAT scatterometer data by using the spatio-temporal coherence properties of sea ice in addition to backscatter coefficient and the Active Polarization Ratio. Results were compared with the operational sea-ice products from National Snow and Ice Data Center. The threshold API value of −0.025 was found optimum for sea-ice and ocean discrimination. The overall sea-ice identification accuracy achieved was of the order of 95 per cent, ranging from 92.5% (during December in Southern Hemisphere) to 98% (during March in Northern Hemisphere). The applicability of the algorithm for both the Arctic as well as Antarctic makes it suitable for its operational use with the Oceansat-2 scatterometer data.
ISSN 0255660X
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-02-12
Publisher Place India
e-ISSN 09743006
Journal Journal of the Indian Society of Remote Sensing
Volume Number 39
Issue Number 2
Page Count 6
Starting Page 147
Ending Page 152

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Source: SpringerLink