Land cover Mapping is one of the main applications of remote sensing data analysis. The developments in Radar polarimetry and spatial resolution of remote sensors have facilitated information extraction from remote sensing data. The author provides an account of land cover information extraction from optical and Synthetic Aperture Radar (SAR) data. The specific areas addressed are: • Investigating the effect of different polarisations of SAR data on the accuracy of derived land cover information. • Using Object based image classification approaches to analyse high resolution SAR data • Investigating the potential of image fusion of optical and SAR data for improved land cover identification and mapping. This book provides a state of the art in advances of remote sensing image processing techniques.