Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry
Abstract 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 ca...
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Format: | Article |
Language: | English |
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SpringerOpen
2021-04-01
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Series: | Geoscience Letters |
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Online Access: | https://doi.org/10.1186/s40562-021-00182-y |
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author | Xuerui Wu Yezhi Song Jin Xu Zheng Duan Shuanggen Jin |
author_facet | Xuerui Wu Yezhi Song Jin Xu Zheng Duan Shuanggen Jin |
author_sort | Xuerui Wu |
collection | DOAJ |
description | Abstract 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. |
first_indexed | 2024-12-19T06:02:36Z |
format | Article |
id | doaj.art-33afe97db95445ca99c7c186ed7b0402 |
institution | Directory Open Access Journal |
issn | 2196-4092 |
language | English |
last_indexed | 2024-12-19T06:02:36Z |
publishDate | 2021-04-01 |
publisher | SpringerOpen |
record_format | Article |
series | Geoscience Letters |
spelling | doaj.art-33afe97db95445ca99c7c186ed7b04022022-12-21T20:33:14ZengSpringerOpenGeoscience Letters2196-40922021-04-018111310.1186/s40562-021-00182-yBistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometryXuerui Wu0Yezhi Song1Jin Xu2Zheng Duan3Shuanggen Jin4Shanghai Astronomical Observatory, Chinese Academy of SciencesShanghai Astronomical Observatory, Chinese Academy of SciencesMaritime College, Guangdong Ocean UniversityDepartment of Physical Geography and Ecosystem Science, Lund UniversityShanghai Astronomical Observatory, Chinese Academy of SciencesAbstract 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.https://doi.org/10.1186/s40562-021-00182-ySoOp RefletometryGNSS-RSoil moistureVegetationPolarizationBistatic scattering |
spellingShingle | Xuerui Wu Yezhi Song Jin Xu Zheng Duan Shuanggen Jin Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry Geoscience Letters SoOp Refletometry GNSS-R Soil moisture Vegetation Polarization Bistatic scattering |
title | Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
title_full | Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
title_fullStr | Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
title_full_unstemmed | Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
title_short | Bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
title_sort | bistatic scattering simulations of circular and linear polarizations over land surface for signals of opportunity reflectometry |
topic | SoOp Refletometry GNSS-R Soil moisture Vegetation Polarization Bistatic scattering |
url | https://doi.org/10.1186/s40562-021-00182-y |
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