Title :
Faraday Rotation Retrieval Using SMOS Radiometric Data
Author :
Corbella, I. ; Lin Wu ; Torres, F. ; Duffo, N. ; Martin-Neira, Manuel
Author_Institution :
Remote Sensing Lab., Univ. Politec. de Catalunya, Barcelona, Spain
Abstract :
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.
Keywords :
Faraday effect; UHF measurement; feature extraction; filtering theory; geophysical image processing; image reconstruction; polarimetry; radiometry; remote sensing; Faraday rotation retrieval; L-band radiometric data; SMOS radiometric data; Soil Moisture and Ocean Salinity satellite; full polarimetric image reconstruction; smart spatiotemporal filtering; Faraday effect; Microwave radiometry; Noise; Orbits; Remote sensing; Thermal noise; Faraday rotation; L-band radiometry; Soil Moisture and Ocean Salinity (SMOS); interferometric synthetic aperture radiometry;
Journal_Title :
Geoscience and Remote Sensing Letters, IEEE
DOI :
10.1109/LGRS.2014.2345845
