To represent the polarized reflectance properties of ground-feature’s background, we present a six-component polarized bidirectional reflectance distribution function (pBRDF) model that takes specular reflection, volume scattering and backscattering into account. The model uses the Kubelka-Munk(KM) theory to simulate the volume scattering component, and introduces a backscattering component of Gaussian distribution, which improves the traditional pBRDF model, and makes the new six-component pBRDF model more suitable to the polarized reflectance properties of ground-feature’s background. The polarized spectra of grass and soil under the different observation geometries are obtained based on the theory of multi-angular polarization detection. The variation of the polarized spectral reflectance is also analyzed. The simulated polarization values from the six-component model are compared with the measured data. It is shown that a good agreement is obtained between polarization measurement data and simulated results. The accuracy and validity of model are confirmed.