SCoBi multilayer: A Signals of Opportunity reflectometry model for multilayer dielectric reflections
Boyd, D., Kurum, M., Eroglu, O., Gurbuz, A. C., Garrison, J. L., et al. (2020). SCoBi multilayer: A Signals of Opportunity reflectometry model for multilayer dielectric reflections. Remote Sensing, doi:https://doi.org/10.3390/rs12213480
| Title | SCoBi multilayer: A Signals of Opportunity reflectometry model for multilayer dielectric reflections |
|---|---|
| Genre | Article |
| Author(s) | D. Boyd, M. Kurum, Orhan Eroglu, A. C. Gurbuz, J. L. Garrison, B. R. Nold, M. A. Vega, J. R. Piepmeier, R. Bindlish |
| Abstract | A multilayer module is incorporated into the Signals of Opportunity (SoOp) Coherent Bistatic Scattering model (SCoBi) for determining the reflections and propagation of electric fields within a series of multilayer dielectric slabs. This module can be used in conjunction with other SCoBi components to simulate complex, bistatic simulation schemes that include features such as surface roughness, vegetation, antenna effects, and multilayer soil moisture interactions on reflected signals. This paper introduces the physics underlying the multilayer module and utilizes it to perform a simulation study of the response of SoOp-R measurements with respect to subsurface soil moisture parameters. For a frequency range of 100-2400 MHz, it is seen that the SoOp-R response to a single dielectric slab is mostly frequency insensitive; however, the SoOp-R response to multilayer dielectric slabs will vary between frequencies. The relationship between SoOp-R reflectivity and the contributing depth is visualized, and the results show that SoOp-R measurements can display sensitivity to soil moisture below the penetration depth. By simulation of simple soil moisture profiles with different wetting and drying gradients, the dielectric contrast between layers is shown to be the greatest contributing factor to subsurface soil moisture sensitivity. Overall, it is observed that different frequencies can sense different areas of a soil moisture profile, and this behavior can enable subsurface soil moisture data products from SoOp-R observations. |
| Publication Title | Remote Sensing |
| Publication Date | Oct 23, 2020 |
| Publisher's Version of Record | https://doi.org/10.3390/rs12213480 |
| OpenSky Citable URL | https://n2t.org/ark:/85065/d7222z2p |
| OpenSky Listing | View on OpenSky |
| CISL Affiliations | TDD, VAST |