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http://hdl.handle.net/10553/48669
Título: | On the use of GNSS-R data to correct L-band brightness temperatures for sea-state effects: Results of the ALBATROSS field experiments | Autores/as: | Valencia, Enric Camps, Adriano Bosch-Lluis, Xavier Rodriguez-Alvarez, Nereida Ramos-Perez, Isaac Eugenio, Francisco Marcello, Javier |
Clasificación UNESCO: | 250616 Teledetección (Geología) | Palabras clave: | Delay-Doppler Maps Salinity Retrieval Surface Salinity Smos Mission Ocean, et al. |
Fecha de publicación: | 2011 | Publicación seriada: | IEEE Transactions on Geoscience and Remote Sensing | Conferencia: | 11th Specialist Meeting on Microwave Radiometry and Remote Sensing Applications (MicroRad 2010) | Resumen: | Sea surface salinity is a key oceanographic parameter that can be measured by means of L-band microwave radiometry. The measured brightness temperatures over the ocean are influenced by the sea state, which can entirely mask the salinity signature. Sea-state corrections parameterized in terms of wind speed and/or significant wave height have proven not to be fully satisfactory. In 2003, it was proposed to use reflectometry using navigation opportunity signals [Global Navigation Satellite System Reflectometer (GNSS-R)] for sea-state determination and correction of the measured L-band brightness temperature changes associated to the sea state. The novelty of the approach relies in the measurement of the whole Delay-Doppler Map that captures the scattering of the GNSS signals in the whole glistening zone. In this framework, the "Advanced L-BAnd emissiviTy and Reflectivity Observations of the Sea Surface" (ALBATROSS) field experiments were undertaken in 2008 and 2009, collecting an extensive data set of collocated radiometric and reflectometric measurements over the Atlantic Ocean, as well as oceanographic and meteorological data. In this paper, the experimental results and conclusions of the ALBATROSS 2009 field experiment are compiled and presented, showing the great potential of this technique to perform the necessary corrections in future salinity missions. Empirical relationships are derived among measured brightness temperature variations due to the sea-state effect and direct GNSS-R observables, and the sea surface correlation time at L1 band, a key parameter for GNSS-R data processing since it determines the maximum coherent integration time, was experimentally determined. | URI: | http://hdl.handle.net/10553/48669 | ISSN: | 0196-2892 | DOI: | 10.1109/TGRS.2011.2159224 | Fuente: | IEEE Transactions on Geoscience and Remote Sensing[ISSN 0196-2892],v. 49 (5958602), p. 3225-3235 |
Colección: | Actas de congresos |
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