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Deriving VTEC maps from SMOS radiometric data

Author
Rubino, R.; Duffo, N.; González-Gambau, V.; Corbella, I.; Torres, F.; Duran, I.; Martín, M.
Type of activity
Journal article
Journal
Remote sensing
Date of publication
2020-05-01
Volume
12
Number
10
First page
1
Last page
18
DOI
10.3390/rs12101604
Project funding
Innnovative products and services from microwave sensors, SMOS and Earth Sentinels
SMOS and follow-on missions improved Level 1 performance
Unitat d'Excel·lència/'María de Maeztu/': Grup de recerca en Teledetecció, Antenes, Microones i Superconductivitat
Repository
http://hdl.handle.net/2117/329882 Open in new window
URL
https://www.mdpi.com/2072-4292/12/10/1604 Open in new window
Abstract
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...
Citation
Rubino, R. [et al.]. Deriving VTEC maps from SMOS radiometric data. A: "Remote sensing". Multidisciplinary Digital Publishing Institute (MDPI), 2020, p. 1-18. DOI 10.3390/rs12101604.
Keywords
Faraday rotation angle (FRA), Interferometry, L-band, Ocean salinity (SMOS), Soil moisture, Vertical total electron content (VTEC), radiometry
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
RF&MW - Laboratory of RF & microwave systems, devices and materials
RSLAB - Remote Sensing Lab

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