Abstract

Climate change, increasing activities in areas like offshore oil and gas exploration, marine transport, eco-tourism,in additional to the usual activities of northerners resident are leading to reductions in sea ice. Therefore, there is an urgentneed for improvement in the sea ice detection in polar areas. Starting from the mechanism of electromagnetic scattering,based on an empirical dielectric constant model, we apply EM multi-reflection and transmission formulas for coefficientsbetween the air-ice interface and sea water-ice interface to develop a model for estimating the capability of detection of seaice and ice thickness based on a pulse radar system, synthetic aperture radar (SAR). Although the dielectric constant of seaice is less than that of sea water, this model can provide a rational methodology as the normalized radar cross section (NRCS)of sea ice is larger than that of sea water due to multiple reflections. The numerical simulations of this model showed thatthe convergence rate is rapid. With 3 or 4 reflections and transmissions (depending on temperature, salinity, and dielectricconstants of sea ice and water), truncation errors can be satisfied using theoretical considerations and practical applications.The model is applied to estimate the capability of SAR to discriminate ice from water. The numerical results suggested thatthe model ability to measure ice thickness decreases with increasing radar incident angles and increases with increasingradar pulse width. Reflection and transmission coefficients decrease monotonically with ice thickness and are saturated forice thicknesses above a certain critical value which depends on SAR incidence angle, frequency and dielectric constantsof sea ice. The capability to detect ice thickness for given different bands of pulse radar widths can be estimated with thismodel.

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