Highlights New algorithm VASIA2 of sea ice concentration retrieval from satellite microwave radiometry data is presented. The algorithm is based solely on a theoretical model and calculations. No tie-points are used in the algorithm. The design of VASIA2 practically precludes the effect of atmospheric variation on the calculation results. VASIA2 calculates not only sea ice concentration, but also areas occupied by snow–water mixture (SWM).
Abstract A conceptually new algorithm of sea ice concentration retrieval in polar regions from satellite microwave radiometry data is discussed. The algorithm design favorably contrasts with that of known modern algorithms. Its design is based on a physical emission model of the “sea surface – sea ice – snow cover – atmosphere” system. No tie-points are used in the algorithm. All the calculation expressions are derived from theoretical modeling. The design of the algorithm minimizes the impact of atmospheric variability on sea ice concentration retrieval. Beside estimating sea ice concentration, the algorithm makes it possible to indicate ice areas with melting snow and melt ponds. The algorithm is simple to use, no complicated or time consuming calculations are involved.
A physical algorithm to measure sea ice concentration from passive microwave remote sensing data
Advances in Space Research ; 56 , 8 ; 1578-1589
2015-07-08
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
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