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Faraday rotation correction for the SMAP radiometer / David M. Le Vine in IEEE Transactions on geoscience and remote sensing, vol 54 n° 4 (April 2016)
[article]
Titre : Faraday rotation correction for the SMAP radiometer Type de document : Article/Communication Auteurs : David M. Le Vine, Auteur ; Saji Abraham, Auteur ; Jinzheng Peng, Auteur Année de publication : 2016 Article en page(s) : pp 2070 - 2081 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Acquisition d'image(s) et de donnée(s)
[Termes IGN] évaluation des données
[Termes IGN] humidité du sol
[Termes IGN] mission SMAP
[Termes IGN] radiomètre
[Termes IGN] rotation de Faraday
[Termes IGN] Soil Moisture Active Passive
[Termes IGN] surface de l'eau
[Termes IGN] surface du solRésumé : (Auteur) Faraday rotation is an important issue for remote sensing of parameters such as soil moisture and ocean salinity, which are best done at low microwave frequency (e.g., L-band). Modern instruments such as the radiometer on the Soil Moisture and Ocean Salinity (SMOS) satellite and the Aquarius radiometers include polarimetric radiometer channels specifically to implement a correction for Faraday rotation. This works well over ocean, but it is known that over inhomogeneous scenes, such as a land/water mixture, significant errors can occur. This is a particularly important issue for the newest L-band sensor in space, the radiometer on the Soil Moisture Active Passive (SMAP) satellite, where the goal is remote sensing over land (soil moisture) and where the conical scan induces rapid variation in Faraday rotation. Analysis is presented here of the issues associated with retrieving Faraday rotation using the SMAP geometry and antenna pattern. It is shown that, in addition to scenes with a mixture of land and water, scenes with significant vegetation canopy are also associated with large errors in the retrieved Faraday rotation. Examples from the SMAP radiometer support the analysis. Numéro de notice : A2016-839 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2015.2495168 En ligne : https://doi.org/10.1109/TGRS.2015.2495168 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=82883
in IEEE Transactions on geoscience and remote sensing > vol 54 n° 4 (April 2016) . - pp 2070 - 2081[article]