First Assessment of Geophysical Sensitivities from Spaceborne Galileo and BeiDou GNSS-Reflectometry Data Collected by the UK TechDemoSat-1 Mission
Autor: | Meric Srokosz, Lucinda S. King, Christine Gommenginger, Giuseppe Foti, Josep Rosello, Jonathan Rawlinson, Matthew L. Hammond, Martin Unwin |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
010504 meteorology & atmospheric sciences
0211 other engineering and technologies 02 engineering and technology 01 natural sciences Wind speed ocean wind speed symbols.namesake Galileo (satellite navigation) Sea ice lcsh:Science 021101 geological & geomatics engineering 0105 earth and related environmental sciences Constellation Remote sensing geography geography.geographical_feature_category business.industry GNSS-R GNSS reflectometry TechDemoSat-1 TDS-1 global navigation satellite system symbols Global Positioning System General Earth and Planetary Sciences Satellite lcsh:Q business Doppler effect Geology |
Zdroj: | Remote Sensing, Vol 12, Iss 2927, p 2927 (2020) |
ISSN: | 2072-4292 |
Popis: | 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. |
Databáze: | OpenAIRE |
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