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Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry

Författare

  • Xuerui Wu
  • Yezhi Song
  • Jin Xu
  • Zheng Duan
  • Shuanggen Jin

Summary, in English

Signals of Opportunity Reflectometry (SoOp-R) employs the communication system, GNSS (Global Navigation Satellite System) constellation and other potential Signals of Opportunity (SoOp) as the transmitters. In recent years, it has gained increased interests. Several experiments have been carried out, however it is still in the initial development stage. Theoretical predictions of SoOp Reflectometry for land surface parameters detection, such as soil moisture and vegetation biomass, should be carried out simultaneously. Meanwhile, at present less works are paid attention to the polarization study of the polarizations. The first-order radiative transfer equation models are employed here and they are developed according to the wave synthesis technique to get the various polarization combinations. Using the two models as analysis tools, we simulate the bistatic scattering at all potential SoOp Reflectometry bands, i.e., P-, L-, C- and X-band for circular polarizations and linear polarizations. While the original commonly used microwave scattering models are linear polarizations, here we compare the difference. Although the models can simulate bistatic scattering at any incident angles and scattering angles. Four special observation geometry are taken into considerations during the analysis. Using the developed models as tools, the developed models establish the relationship between the land surface parameters (such as soil moisture, soil roughness and vegetation water content, diameters et al.) and bistatic radar cross section. The forward scattering models developed here enables the understanding of the effects of different geophysical parameters and transmitter–receiver observation scenarios on the bisatic scattering at any polarization combinations for any potential SoOP reflectometry bands. Robust retrieval methods for soil moisture and vegetation biomass can benefit from the forward scattering models.

Avdelning/ar

  • Institutionen för naturgeografi och ekosystemvetenskap

Publiceringsår

2021

Språk

Engelska

Publikation/Tidskrift/Serie

Geoscience Letters

Volym

8

Issue

1

Dokumenttyp

Artikel i tidskrift

Förlag

Springer

Ämne

  • Physical Geography

Nyckelord

  • Bistatic scattering
  • GNSS-R
  • Polarization
  • Soil moisture
  • SoOp Refletometry
  • Vegetation

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 2196-4092