Sea surface salinity and wind speed retrievals using gnss-r and l-band microwave radiometry data from fmpl-2 onboard the fsscat mission

The Federated Satellite System mission (FSSCat), winner of the 2017 Copernicus Masters Competition and the first ESA third-party mission based on CubeSats, aimed to provide coarse-resolution soil moisture estimations and sea ice concentration maps by means of the passive microwave measurements colle...

Full description

Bibliographic Details
Published in:Remote Sensing
Main Authors: Muñoz-Martín, Joan Francesc, Camps, Adriano
Other Authors: Generalitat de Catalunya, Ministerio de Ciencia, Innovación y Universidades (España)
Format: Article in Journal/Newspaper
Language:unknown
Published: Multidisciplinary Digital Publishing Institute 2021
Subjects:
GNSS-R
L-band microwave radiometry
CubeSat
Ocean salinity
Wind speed
Antarctic
Arctic
Antarc*
Sea ice
Online Access:http://hdl.handle.net/10261/261464
https://doi.org/10.3390/rs13163224
https://doi.org/10.13039/501100002809
Description
Summary:The Federated Satellite System mission (FSSCat), winner of the 2017 Copernicus Masters Competition and the first ESA third-party mission based on CubeSats, aimed to provide coarse-resolution soil moisture estimations and sea ice concentration maps by means of the passive microwave measurements collected by the Flexible Microwave Payload-2 (FMPL-2). The mission was successfully launched on 3 September 2020. In addition to the primary scientific objectives, FMPL-2 data are used in this study to estimate sea surface salinity (SSS), correcting for the sea surface roughness using a wind speed estimate from the L-band microwave radiometer and GNSS-R data themselves. FMPL-2 was executed over the Arctic and Antarctic oceans on a weekly schedule. Different artificial neural network algorithms have been implemented, combining FMPL-2 data with the sea surface temperature, showing a root-mean-square error (RMSE) down to 1.68 m/s in the case of the wind speed (WS) retrieval algorithms, and RMSE down to 0.43 psu for the sea surface salinity algorithm in one single pass. This work was supported by the 2017 ESA S3 Challenge and Copernicus Masters Overall Winner award (“FSSCat” project). This work was (partially) sponsored by project SPOT: Sensing with Pioneering Opportunistic Techniques grant RTI2018-099008-B-C21/AEI/10.13039/501100011033, and by the Unidad de Excelencia Maria de Maeztu MDM-2016-0600. Joan Francesc Munoz-Martin received support in the form of a grant for the recruitment of early-stage research staff FI-DGR 2018 from the AGAUR—Generalitat de Catalunya (FEDER), Spain.

Similar Items