Earth Surface Elevation Extraction from Radar Imageries Using Radarclinometry Mostafa Mansourpour University of Tehran, Iran Email: Mansourpour@gmail.com Mohammad A.Rajabi University of Tehran Email: marajabi@ut.ac.ir J.A. Rod Blais University of Calgary, Calgary, Alberta, Canada Email: blais@ucalgary.ca Measurement of Earth surface elevation is one of the most important topics in Geomatics Engineering and Earth Science disciplines. There are different methods which can be used for this purpose. However, nowadays remotely sensed satellite imageries are one of the main and inevitable data sources for surface height extraction. After 1960’s when radar sensors were used in civil applications and with the availability of Synthetic Aperture Radar (SAR), researchers found a new data source which has different capabilities. Among other common techniques, measurement of both relative and absolute elevation from satellite radar imageries became important too. There are different methods for elevation extraction from radar imageries such as stereoscopy, interferometry, polarimetry and clinometry. Unlike other techniques, radarclinometry uses single imageries for elevation extraction. This makes it suitable for areas where it is impossible to obtain stereo images. This paper reviews radarclinometry or radar shape from shading as a new technique for Earth surface elevation extraction and evaluates its performance and efficiency.