NOC GNSS-R Global ocean wind speed and sea-ice products using data from the techdemosat-1 mission

Foti, Giuseppe ORCID: https://orcid.org/0000-0002-1507-2133; Hammond, Matthew Lee ORCID: https://orcid.org/0000-0002-8918-2351; Gommenginger, Christine ORCID: https://orcid.org/0000-0002-6941-1671; Srokosz, Meric ORCID: https://orcid.org/0000-0002-7347-7411; Unwin, Martin; Rosello, Josep. 2021 NOC GNSS-R Global ocean wind speed and sea-ice products using data from the techdemosat-1 mission. [Other] In: 2020 IEEE International Geoscience and Remote Sensing Symposium, Online, 26 Sept.-2 Oct. 2020. IEEE, 5941-5944.

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Official URL: http://dx.doi.org/10.1109/IGARSS39084.2020.9323151

Abstract/Summary

Global Navigation Satellite System-Reflectometry (GNSS-R) is an innovative and rapidly developing approach to Earth Observation that makes use of signals of opportunity from GNSS, which have been reflected off the Earth's surface. This technology has been demonstrated to be applicable to the remote sensing of a number of geophysical surface parameters including ocean wind speed and sea-ice. Using data collected by the UK TechDemoSat-1 mission between 2014 and 2018, the National Oceanography Centre (NOC) has developed a GNSS-R signal processing scheme called the NOC Calibrated Bistatic Radar Equation (C-BRE) processor that features an ocean wind speed inversion algorithm incorporating radiometric calibration submodules and several corrections steps that mitigate effects related to the GNSS system, instrumentm and geometry. The latest version of the NOC GNSS-R processor additionally features updated data quality control mechanisms that include the flagging of radio frequency interference (RFI) and sea-ice detection based on the GNSS-R waveform.

Item Type:	Publication - Conference Item (Other)
Digital Object Identifier (DOI):	https://doi.org/10.1109/IGARSS39084.2020.9323151
Date made live:	31 Mar 2021 10:24 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/529967

Item Type:

Publication - Conference Item (Other)

Digital Object Identifier (DOI):

https://doi.org/10.1109/IGARSS39084.2020.9323151

Date made live:

31 Mar 2021 10:24 +0 (UTC)

URI:

https://nora.nerc.ac.uk/id/eprint/529967