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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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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1774723335148535808 |