There have been several investigation about water-ice depositions on the lunar polar regions. Earlier, studies were based on criterion circular polarization ratio (CPR). However, It is quite challenging to classify waterice deposits on the basis of criterion CPR>1, because it occurs in water-ice and rough surface region both. Thus, it is essential to examine the CPR>1, laterally with other significant parameters fractal dimension and conformity coefficient (mu) for better classification. First fractal dimension (D) based method has been used to differentiate between the rough and smooth surface. Further, conformity coefficient (mu) is used to identify possible water-ice region associated with volume scattering. This dominant volume scattering pixels points were extracted from the degree of polarization (DOP) for better classification. Finally, obtained results have been compared with existing methods. The entire study indicates that the classification of water-ice deposits using conformity coefficient (mu) gives good results.

There have been many investigations regarding water-ice depositions on the lunar surface and it is always been challenging. The previous studies were based on the circular polarization ratio (CPR). However, the CPR has proved to be inefficient in making distinctive classification of smooth (water-ice) and rough surface. Therefore, instead of using single polarimetric parameter CPR, it is required to analyze the CPR>1, along with other significant physical and electrical properties for better textural classification. In this paper, we have established the relationship between icy region and rough region based on physical property that is surface roughness measured with the help of fractal dimension method ('D') and electrical properties like real part of dielectric constant (epsilon'), imaginary part of dielectric constant (epsilon''), real (n) and imaginary (k) part of refractive index, skin depth (d) and reflectivity (R). The whole investigation indicates that the textural classification of the lunar surface with the help of physical and electrical properties gives superior results as compared to the single polarimetric parameter CPR.