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  • ACRS 1999


    Poster Session 1

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    Requirements of Optimal Synthetic Aperture Radar (SAR) Frequency, Polarization and Incidence Angle for Mapping Underwater Bottom Topography: A Simulation Study

    Weigen Huang, Bin Fu, Changbao Zhou, Jingsong Yang, Aiqin Shi and Donglin Li
    Second Institute of Oceanography
    State Oceanic Administration
    Hangzhou, P. R. China

    Keywords: Underwater bottom topography, radar parameters, simulation.

    Abstract
    A simulation model for the radar backscattering cross section of the sea surface has been developed based on the radar imaging mechanism of underwater bottom topography. The model consists of the Navier-Stokes equation, the action balance equation and the radar backscatter model. The simulation model is solved numerically using the method of characteristics. The results of the simulation model have been used to study the optimal SAR parameters (frequency, polarization and incidence angle) for mapping underwater bottom topography. It is shown that long wavelengths are required. P band is the optimal band for mapping underwater bottom topography, followed by L, C and X bands. Although mapping underwater bottom topography is independent of the polarization, the V V polarization is the best choice because of its large signal-to-noise ratio. The incidence angle between 20°to 40°are needed to map underwater bottom topography by spaceborne SAR.

    Introduction
    It is well known now that under certain environmental conditions underwater bottom topography can be mapped by imaging radars operating at different frequency, polarization and incidence angles. The phenomenon was first imaged by a Ka band side looking airborne radar (SLAR) off the Dutch coast in 1969(de Loor, 1981). Later, bottom topography was found on images acquired by spaceborne synthetic aperture radar (SAR) systems such as Seasat HH polarized L band SAR, ERS-1/2 VV polarized C band SAR and Radarsat HH polarized C band SAR. The optimal SAR parameters (frequency and polarization) for mapping bathymetric features based on the Spaceborne Imaging Radar-C, X-Band Synthetic Aperture Radar (SIR-C/X-SAR) observations have been reviewed by Schmullius and Evans (1997). The aim of this study is to simulate the radar backscattering cross section of the sea surface and present the optimal SAR frequency, polarization and incidence angles for mapping underwater bottom topography.

    Model Description
    The understanding of the radar imaging mechanism of underwater bottom topography has been improved since the first explanation by Alpers and Hennings in 1984. It is generally accepted that the imaging mechanism of mapping underwater bottom topography by imaging radar consists of three stages: the interaction between tidal flow and bottom topography which results in modulations in the surface flow velocity, the interaction between the variable surface flow and the short surface water waves, and the interaction between the short surface water waves and radar signal. The present simulation model for radar signatures of underwater bottom topography includes the Navier-Stokes equation, the action balance equation and the radar backscatter model, which describe above three stages.

    Navier-Stokes equation
    The Navier-Stokes equation describes the interaction between tidal flow and underwater bottom topography and is given by


    where (u,v) is depth averaged flow vector in (x,y) direction ,x is water elevation relative to reference surface, h is distance between bottom and reference surface, g is acceleration due to gravity, r is water density, C is chezy coefficient modeling bottom roughness, and (tx ,ty ) is wind stress in (x,y) direction.

    Action balance equation
    The action balance equation describes the evolution of the energy of a wave packet that travels through a slowly varying surface current field and reads


    where A is the action spectral density of the wave packet, t is the time,W is the apparent frequency in the moving medium, (kx,ky ) is the wavenumber vector of the wave packet, and S is a source function. The action spectrum related to the energy spectrum E by E =wA. The intrinsic frequency is w=(gk+Tk3)1/2 , T being the ratio of surface tension to water density.

    The apparent frequency W is related to the intrinsic wave frequency by


    whereis the surface current vector. For the source function, the linear equation suggested by Alpers and Hennings(1984) is used because it allows an explicit solution of the action balance equation. S is given by

    S=-m(A-A0)                         (6)

    where m is a relaxation parameter and A0 the equilibrium spectrum. The relationship between the action spectrum A and the waveheight spectrum y is given by

    A=yrw/k                    (7)

    Radar backscatter model
    The radar backscatter is based on the Bragg mechanism. The radar backscatter model has the form
    s 0pol=16p k04 cos4(q)|gp (q |2y(kb)                       (8)
    where k0 is the radar wavenumber and q the incidence angle of the radar. The magnitude of the Bragg wavenumber vector kb is given by

    kb=2k0sinq                         (9)

    The complex scattering coefficient gp can be approximated for horizontal (HH) polarization by


    and for vertical (V V) polarization by


    where e is the relative dielectric constant of sea water.

    Method of simulation

    Description of the parameters
    The radar, environmental and underwater bottom topography parameters for simulation are listed in table 1. Satellite is assumed to fly from south towards north. Current and wind flow along the x direction.

    The underwater bottom topography is shown in Fig.1.

    Table 1 The radar, environmental and underwater bottom topography parameters for simulation

    Radar band P,L,C and X
    Polarization V V and HH
    Incidence angle 20°,23°,30°,40°,
    50°,60° and 70°
    Current speed (u0) 0.5m/s
    Wind speed (u10) 5m/s
    Height of sandwave (d)1,4,7 and 10m
    Water depth above sandwave (h1) 1,5,10,15,20,25 and 30m



    Fig.1 Schematic of the underwater bottom Topography.

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