Maurice Ezeoke

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Common soil and oil sand have different electromagnetic wave reflectivity. In this paper, we explore the possibility to use Synthetic Aperture Radar (SAR) technique to identify and distinguish between three types of soil. The results from the electromagnetic wave models provide a comparison of backscattering behavior between common soil and oil sand(More)
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(More)
In this paper remote identification of oil sand reservoirs from synthetic aperture radar (SAR) is enhanced by accurate modeling of the electromagnetic (EM) reflectivity of Agbabu oil sands. This is demonstrated using a novel combination of hyperspectral reflectance spectra and dielectric permittivity measurements with computer simulation tools. Infrared(More)
The remote sensing requirements to determine the effects of gas flaring on the environment and localize point of risk is immense. Based on the wave front reconstruction theory and Geographic Information System, this paper considers the principle of synthetic aperture radar cross range imaging to determine the extent of gas flaring using optical data and(More)
An approach to measure the relationship between sensor configuration and terrain backscatter using microwave modeling and measurement techniques is presented. Based on apriori synthetic aperture radar scattering models the investigation measured the far field electromagnetic wave reflectivity of four different barefaced terrains at microwave frequencies in(More)
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