Processing of Raw GNSS Reflectometry Data From TDS-1 in a Backscattering Configuration

Global navigation satellite system reflectometry (GNSS-R) has found many applications in the field of Earth observation including ocean wind-speed detection, ice altimetry, soil moisture monitoring, and more. The main focus of GNSS-R research to date has been on forward-scattered reflections, but th...

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Bibliographic Details
Published in:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors: Lucinda S. King, Martin Unwin, Jonathan Rawlinson, Raffaella Guida, Craig Underwood
Format: Article in Journal/Newspaper
Language:English
Published: IEEE 2020
Subjects:
Online Access:https://doi.org/10.1109/JSTARS.2020.2997199
https://doaj.org/article/e01422dc54c64deb841063881ae62ddc
Description
Summary:Global navigation satellite system reflectometry (GNSS-R) has found many applications in the field of Earth observation including ocean wind-speed detection, ice altimetry, soil moisture monitoring, and more. The main focus of GNSS-R research to date has been on forward-scattered reflections, but theoretical work has proposed a backscattering regime and associated new application opportunities, including marine target detection. This article discusses the methods and results of processing the U.K. TechDemoSat-1 raw data collections in a backscattering regime for the first time, with initial results from sea ice datasets presented. The research has also identified a key problem with the backscatter method-for certain geometries the power from the specular point (forward scattered) may contaminate the data. The theory behind this and a method for predicting such occurrences is also discussed.