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.

Highlights

  • Recent investments into Global Navigation Satellite System (GNSS) reflectometry (GNSS-R) GNSS-R for ocean applications have vitalized research into signals of opportunity (SoOp) reflectometry (SoOp-R) for land-based remote sensing areas

  • If the real component of the reflection coefficient is considered as a function of soil moisture (SM), it can be seen that the real component of the reflection coefficient increases in magnitude as a function of SM content

  • The SoOp Coherent Bistatic model (SCoBi) multilayer module is currently being used in modeling and simulations in support of the SNOOPI experiment [7], root-zone soil moisture (RZSM) inversion research being conducted at Purdue University [39], and farmland SM remote sensing at Mississippi State University

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Summary

Introduction

Recent investments into Global Navigation Satellite System (GNSS) reflectometry (GNSS-R) GNSS-R for ocean applications have vitalized research into signals of opportunity (SoOp) reflectometry (SoOp-R) for land-based remote sensing areas. The authors of [1,2,3] showed that GNSS signals can be used to monitor ocean surface roughness and wind vectors from spaceborne SoOp-R measurements This success has inspired research in the use of the Cyclone GNSS (CYGNSS) GNSS-R constellation for geophysical remote sensing [4,5,6] and the future SoOp P-Band Investigation (SNOOPI) satellite, which is a technology validation mission of P-band reflectometry using SoOp-R to enable spaceborne remote sensing of root-zone soil moisture (RZSM) and snow water equivalent (SWE) [7]. Recent technology demonstrations and remote sensing experiments have successfully leveraged these signals to detect geophysicals parameters such as soil moisture (SM) and SWE [7,8,9,10,11,12,13]

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