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Open AccessArticle

Deriving VTEC Maps from SMOS Radiometric Data

1
CommSensLab Research Group, Polytechnic University of Catalonia, c/Jordi Girona 1-3, 08034 Barcelona, Spain
2
Physical Oceanography Department, Institute of Marine Sciences, ICM-CSIC and Barcelona Expert Center, Pg. Marítim de la Barceloneta 37-49, 08034 Barcelona, Spain
3
European Space Research and Technology Center, European Space Agency, 2200 AG Noordwijk, The Netherlands
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(10), 1604; https://doi.org/10.3390/rs12101604
Received: 27 March 2020 / Revised: 4 May 2020 / Accepted: 8 May 2020 / Published: 18 May 2020
(This article belongs to the Special Issue Ten Years of Remote Sensing at Barcelona Expert Center)
In this work, a new methodology is proposed in order to derive vertical total electron content (VTEC) maps from the radiometric measurements of the Soil Moisture and Ocean Salinity (SMOS) mission as an alternative approach to those based on external databases and models. This approach uses spatiotemporal filtering techniques with optimized filters to be robust against the thermal noise and image reconstruction artifacts present in SMOS images. It is also possible to retrieve the Faraday rotation angle from the recovered VTEC maps in order to correct the effect that it causes in the SMOS brightness temperatures. View Full-Text
Keywords: faraday rotation angle (FRA); vertical total electron content (VTEC); L-band; radiometry; Interferometry; soil moisture; ocean salinity (SMOS) faraday rotation angle (FRA); vertical total electron content (VTEC); L-band; radiometry; Interferometry; soil moisture; ocean salinity (SMOS)
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MDPI and ACS Style

Rubino, R.; Duffo, N.; González-Gambau, V.; Corbella, I.; Torres, F.; Durán, I.; Martín-Neira, M. Deriving VTEC Maps from SMOS Radiometric Data. Remote Sens. 2020, 12, 1604.

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