SCoBi Multilayer: A Signals of Opportunity Reflectometry Model for Multilayer Dielectric Reflections

Author:

Boyd DylanORCID,Kurum MehmetORCID,Eroglu OrhanORCID,Gurbuz Ali CaferORCID,Garrison James L.,Nold Benjamin R.,Vega Manuel A.,Piepmeier Jeffrey R.,Bindlish Rajat

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.

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A Nested Facet Method of the Kirchhoff Approximation for Large-Scale Land Scattering;IEEE Transactions on Geoscience and Remote Sensing;2024

2. Retrieval of Subsurface Soil Moisture and Vegetation Water Content From Multifrequency SoOp Reflectometry: Sensitivity Analysis;IEEE Transactions on Geoscience and Remote Sensing;2023

3. A UAS-based RF testbed for water utilization in agroecosystems;Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping VI;2021-04-12

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