SMOS: The Challenging Sea Surface Salinity Measurement From Space
Type | Article | ||||||||
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Date | 2010-05 | ||||||||
Language | English | ||||||||
Author(s) | Font Jordi1, Camps Adriano2, 3, Borges Andres4, Martin-Neira Manuel5, Boutin Jacqueline6, Reul Nicolas7, Kerr Yann H.8, Hahne Achim5, Mecklenburg Susanne9 | ||||||||
Affiliation(s) | 1 : CSIC, Inst Ciencies Mar, Dept Phys Oceanog, E-08003 Barcelona, Spain. 2 : Univ Politecn Cataluna, Dept Signal Theory & Commun, Remote Sensing Lab, ES-08034 Barcelona, Spain. 3 : Ctr Recerca Aeronaut Espai, Inst Estudis Espacials Catalunya, Barcelona 08034, Spain. 4 : European Aeronaut Def & Space Co, Construcc Aeronaut SA Espacio, Madrid 28022, Spain. 5 : European Space Agcy, European Space Technol Ctr, NL-2200 AG Noordwijk, Netherlands. 6 : Inst Pierre Simon Laplace, Lab Oceanog & Climat Experimentat & Approches Num, F-75252 Paris, France. 7 : Inst Francais Rech Exploitat Mer, F-29280 Plouzane, France. 8 : Ctr Etud Spatiales Biosphere, F-31401 Toulouse, France. 9 : European Space Agcy, European Space Res Inst, I-00044 Frascati, Italy. |
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Source | Proceedings of the IEEE (0018-9219) (IEEE), 2010-05 , Vol. 98 , N. 5 , P. 649-665 | ||||||||
DOI | 10.1109/JPROC.2009.2033096 | ||||||||
WOS© Times Cited | 289 | ||||||||
Keyword(s) | Aperture synthesis, imaging, microwave radiometry, remote sensing, salinity | ||||||||
Abstract | Soil Moisture and Ocean Salinity, European Space Agency, is the first satellite mission addressing the challenge of measuring sea surface salinity from space. It uses an L-band microwave interferometric radiometer with aperture synthesis (MIRAS) that generates brightness temperature images, from which both geophysical variables are computed. The retrieval of salinity requires very demanding performances of the instrument in terms of calibration and stability. This paper highlights the importance of ocean salinity for the Earth's water cycle and climate; provides a detailed description of the MIRAS instrument, its principles of operation, calibration, and image-reconstruction techniques; and presents the algorithmic approach implemented for the retrieval of salinity from MIRAS observations, as well as the expected accuracy of the obtained results. | ||||||||
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