Faraday rotation retrieval using SMOS radiometric data

Faraday rotation is dynamically computed from L-band radiometric data acquired by the Soil Moisture and Ocean Salinity satellite. Improved full polarimetric image reconstruction and smart spatiotemporal filtering are used to obtain good estimations of Faraday rotation, which compare very well with t...

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Detalhes bibliográficos
Autores: Corbella Sanahuja, Ignasi|||0000-0001-5598-7955, Wu, Lin, Torres Canals, Francesc, Duffo Ubeda, Núria|||0000-0002-9398-3995, Martín Neira, Manuel
Formato: artículo
Fecha de publicación:2015
País:España
Recursos:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/27187
Acesso em linha:https://hdl.handle.net/2117/27187
https://dx.doi.org/10.1109/LGRS.2014.2345845
Access Level:acceso abierto
Palavra-chave:Soils, Salts in
Remote sensing
Faraday rotation
interferometric synthetic aperture radiometry
L-band radiometry
Soil Moisture and Ocean Salinity (SMOS)
Sòls salins
Teledetecció
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Descrição
Resumo:Faraday rotation is dynamically computed from L-band radiometric data acquired by the Soil Moisture and Ocean Salinity satellite. Improved full polarimetric image reconstruction and smart spatiotemporal filtering are used to obtain good estimations of Faraday rotation, which compare very well with the values theoretically predicted from available ionosphere and geomagnetic field data.