Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission
By Yann H. Kerr, P. Waldteufel, J. Wigneron, J. Martinuzzi, Jordi Font, M. Berger. IEEE Transactions on Geoscience and Remote Sensing, 2001
1,711 citations recorded by the source corpus.
Subfields: Aerospace Engineering, Atmospheric Science, Environmental Engineering
View Paper: https://www.semanticscholar.org/paper/db47affe86484e8e34124299c3f63141395ceb7e
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In Atmospheric Science
- Rafael Rosolem
- Trenton Franz
- X. Zeng
- W. James Shuttleworth
- Christa D. Peters-Lidard
- Marek Zreda
- Wade T. Crow
- M. Ramirez
In Environmental Engineering
- Rafael Rosolem
- Trenton Franz
- Marek Zreda
- X. Zeng
- W. James Shuttleworth
- Shirley A. Kurc
- Christa D. Peters-Lidard
- Wade T. Crow
Citations in the corpus
- Aquarius: An Instrument to Monitor Sea Surface Salinity From Space (2007, background): “For information on a related mission, SMOS, being developed in Europe see [1, 2].”
- Machine Learning Techniques for Downscaling SMOS Satellite Soil Moisture Using MODIS Land Surface Temperature for Hydrological Application (2013, background): “4 GHz (L-band) and is a dual polarized 2-D interferometer and is the first-ever, polar-orbiting, space-borne, 2-D interferometric radiometer designed to provide global information on surface soil moisture with an accuracy of 4 % (Kerr et al. 2001).”
- SMOS-derived thin sea ice thickness: algorithm baseline, product specifications and initial verification (2013, background): “It has5 a global coverage every three days (Kerr et al., 2001), whereas daily coverage up to 85◦ can be expected in the polar regions.”
- The Effect of Atmospheric Water Vapor on Neutron Count in the Cosmic-Ray Soil Moisture Observing System (2013, background): “…models (Shuttleworth et al. 2013) and of providing validation to satellite remote sensing soil moisture data products, including those from the current Soil Moisture Ocean Salinity mission (SMOS; Kerr et al. 2001) and the future Soil Moisture Active Passive mission (SMAP; Entekhabi et al. 2010).”
- The SMOS Soil Moisture Retrieval Algorithm (2012, background): “The basic resolution (3-dB half power beam width) corresponds to a 43-km foot print on average (maximum 27 km minimum 55 km over the field of view for continental areas) The footprint shape varies with angle [33] making the common term of pixel ambiguous.”
- Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations (2009, background): “…to exploiting the information content of the next generation of satellite soil moisture retrievals from the Soil Moisture and Ocean Salinity (National Research Council 2007) and the Soil Moisture Active and Passive (Kerr et al. 2001) satellite missions to be launched in 2009 and 2013, respectively.”
- The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle (2010, background): “The resulting configuration provides at each integration step a full image (about 1000 1200 km(2)) at either two polarizations or full polarization of the Earth’s surface [68] (see Fig.”