Journals Proceedings

Abstract

We investigate the effect of moisture on the dielectric permittivity and surface roughness with backscatter response from four different barefaced terrain. They represent four classes in the Wentworth grain size classification scale. We improve on previous technique used to remotely identify oil sand reservoirs through accurate modeling of the terrain electromagnetic (EM) reflectivity. First we derived the spectroscopic finger print of the four sample classes at high resolution (8cm-1) covering near-infrared and mid-infrared EM regions to investigate the electrochemical bonds present. Then we varied the moisture level of the samples to observe the variation in dielectric permittivity to provide new information on the electrical properties of the sand terrain. Finally development of 3D EM computer models to investigate the complex relationship between barefaced terrain properties with the Radar back scatter response is outlined. The spectroscopic survey observed the reststrahlen effect due to the presence of quartz while calibrated measurements of dielectric response was achieved.