First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission

The UK’s TechDemoSat-1 (TDS-1), launched 2014, has demonstrated the use of global positioning system (GPS) signals for monitoring ocean winds and sea ice. Here it is shown, for the first time, that Galileo and BeiDou signals detected by TDS-1 show similar promise. TDS-1 made seven raw data collectio...

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Published in:Remote Sensing
Main Authors: Matthew L. Hammond, Giuseppe Foti, Jonathan Rawlinson, Christine Gommenginger, Meric Srokosz, Lucinda King, Martin Unwin, Josep Roselló
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2020
Subjects:
Online Access:https://doi.org/10.3390/rs12182927
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spelling ftmdpi:oai:mdpi.com:/2072-4292/12/18/2927/ 2023-08-20T04:09:42+02:00 First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission Matthew L. Hammond Giuseppe Foti Jonathan Rawlinson Christine Gommenginger Meric Srokosz Lucinda King Martin Unwin Josep Roselló agris 2020-09-10 application/pdf https://doi.org/10.3390/rs12182927 EN eng Multidisciplinary Digital Publishing Institute Ocean Remote Sensing https://dx.doi.org/10.3390/rs12182927 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 12; Issue 18; Pages: 2927 global navigation satellite system GNSS reflectometry GNSS-R TechDemoSat-1 TDS-1 ocean wind speed sea ice Galileo BeiDou Text 2020 ftmdpi https://doi.org/10.3390/rs12182927 2023-08-01T00:04:47Z The UK’s TechDemoSat-1 (TDS-1), launched 2014, has demonstrated the use of global positioning system (GPS) signals for monitoring ocean winds and sea ice. Here it is shown, for the first time, that Galileo and BeiDou signals detected by TDS-1 show similar promise. TDS-1 made seven raw data collections, recovering returns from Galileo and BeiDou, between November 2015 and March 2019. The retrieved open ocean delay Doppler maps (DDMs) are similar to those from GPS. Over sea ice, the Galileo DDMs show a distinctive triple peak. Analysis, adapted from that for GPS DDMs, gives Galileo’s signal-to-noise ratio (SNR), which is found to be inversely sensitive to wind speed, as for GPS. A Galileo track transiting from open ocean to sea ice shows a strong instantaneous SNR response. These results demonstrate the potential of future spaceborne constellations of GNSS-R (global navigation satellite system–reflectometry) instruments for exploiting signals from multiple systems: GPS, Galileo, and BeiDou. Text Sea ice MDPI Open Access Publishing Remote Sensing 12 18 2927
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic global navigation satellite system
GNSS reflectometry
GNSS-R
TechDemoSat-1
TDS-1
ocean wind speed
sea ice
Galileo
BeiDou
spellingShingle global navigation satellite system
GNSS reflectometry
GNSS-R
TechDemoSat-1
TDS-1
ocean wind speed
sea ice
Galileo
BeiDou
Matthew L. Hammond
Giuseppe Foti
Jonathan Rawlinson
Christine Gommenginger
Meric Srokosz
Lucinda King
Martin Unwin
Josep Roselló
First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
topic_facet global navigation satellite system
GNSS reflectometry
GNSS-R
TechDemoSat-1
TDS-1
ocean wind speed
sea ice
Galileo
BeiDou
description The UK’s TechDemoSat-1 (TDS-1), launched 2014, has demonstrated the use of global positioning system (GPS) signals for monitoring ocean winds and sea ice. Here it is shown, for the first time, that Galileo and BeiDou signals detected by TDS-1 show similar promise. TDS-1 made seven raw data collections, recovering returns from Galileo and BeiDou, between November 2015 and March 2019. The retrieved open ocean delay Doppler maps (DDMs) are similar to those from GPS. Over sea ice, the Galileo DDMs show a distinctive triple peak. Analysis, adapted from that for GPS DDMs, gives Galileo’s signal-to-noise ratio (SNR), which is found to be inversely sensitive to wind speed, as for GPS. A Galileo track transiting from open ocean to sea ice shows a strong instantaneous SNR response. These results demonstrate the potential of future spaceborne constellations of GNSS-R (global navigation satellite system–reflectometry) instruments for exploiting signals from multiple systems: GPS, Galileo, and BeiDou.
format Text
author Matthew L. Hammond
Giuseppe Foti
Jonathan Rawlinson
Christine Gommenginger
Meric Srokosz
Lucinda King
Martin Unwin
Josep Roselló
author_facet Matthew L. Hammond
Giuseppe Foti
Jonathan Rawlinson
Christine Gommenginger
Meric Srokosz
Lucinda King
Martin Unwin
Josep Roselló
author_sort Matthew L. Hammond
title First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
title_short First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
title_full First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
title_fullStr First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
title_full_unstemmed First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
title_sort first assessment of geophysical sensitivities from spaceborne galileo and beidou gnss-reflectometry data collected by the uk techdemosat-1 mission
publisher Multidisciplinary Digital Publishing Institute
publishDate 2020
url https://doi.org/10.3390/rs12182927
op_coverage agris
genre Sea ice
genre_facet Sea ice
op_source Remote Sensing; Volume 12; Issue 18; Pages: 2927
op_relation Ocean Remote Sensing
https://dx.doi.org/10.3390/rs12182927
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/rs12182927
container_title Remote Sensing
container_volume 12
container_issue 18
container_start_page 2927
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