34 resources related to Sea surface
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IGARSS 2014 - 2014 IEEE International Geoscience and Remote Sensing Symposium
GRSS seeks to advance science and technology in geoscience, remote sensing and related fields. IGARSS begins with a plenary session and tutorials on the most up-to-date topics. Paper, panel and poster sessions will be scheduled. The exhibit hall features the latest in geoscience instruments, equipment, software, publications, and scientific programs.
The OCEANS conference covers four days. One day for tutorials and three for approx. 450 technical papers and 150-200 exhibits.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
Theory, concepts, and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space; and the processing, interpretation, and dissemination of this information.
Bayes procedures; buried-object detection; dielectric measurements; Doppler measurements; geomagnetism; sea floor; sea ice; sea measurements; sea surface electromagnetic scattering; seismology; sonar; acoustic tomography; underwater acoustics; and underwater radio communication.
Salinas, S.V.; Liew, S.C. Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International, 2008
Satellite remote measurements taken over the ocean surface, often contain information of near-surface or sub-surface processes, which occur on, or over the ocean. These remote measurements, can enable as to retrieve important parameters such as near surface wind, sea surface temperature and salinity and underwater bathymetry, which, all, in one way or another, depend on how well we understand sea ...
Camps, A.; Font, J.; Vall-llossera, M.; Gabarro, C.; Corbella, I.; Duffo, N.; Torres, F.; Blanch, S.; Aguasca, A.; Villarino, R.; Enrique, L.; Miranda, J.J.; Arenas, J.J.; Julia, A.; Etcheto, J.; Caselles, V.; Weill, A.; Boutin, J.; Contardo, S.; Niclos, R.; Rivas, R.; Reising, S.C.; Wursteisen, P.; Berger, M.; Martin-Neira, M. Geoscience and Remote Sensing, IEEE Transactions on, 2004
Soil Moisture and Ocean Salinity (SMOS) is an Earth Explorer Opportunity Mission from the European Space Agency with a launch date in 2007. Its goal is to produce global maps of soil moisture and ocean salinity variables for climatic studies using a new dual-polarization L-band (1400-1427 MHz) radiometer Microwave Imaging Radiometer by Aperture Synthesis (MIRAS). SMOS will have multiangular observation ...
Aziz, M.A.; Reising, S.C.; Asher, W.E.; Rose, L.A.; Gaiser, P.W.; Horgan, K.A. Geoscience and Remote Sensing, IEEE Transactions on, 2005
WindSat, the first polarimetric radiometer on orbit, launched in January 2003, provides the promise of passive ocean wind vector retrievals on a continuous basis, simultaneous with the retrieval of many other geophysical variables such as sea surface temperature, atmospheric water vapor, cloud liquid water, and sea ice extent and concentration. WindSat also serves as risk reduction for the upcoming National ...
Botian Zhou; Xiangnan Liu; Meiling Liu; Da Liu Computer Vision in Remote Sensing (CVRS), 2012 International Conference on, 2012
Establish the microwave-radiating retrieval algorithm of the sea surface salinity based on the improved K-S model in Hong Kong Waters. Referring to the radarsat-2 satellite image in target sea area, the simultaneously measured temperature and salinity, and other environmental data, the sea surface brightness temperature was calculated using the SAR scattering coefficient; then the sea surface temperature, which was obtained ...
Martorella, M.; Berizzi, F.; Dalle Mese, E. Antennas and Propagation, IEEE Transactions on, 2004
Fractal analysis of sea surface backscattering signal (sea clutter in radar terminology) represents a novel technique for the study of sea surface roughness. When Kirchhoff's assumption is satisfied, the fractal dimension of the signal is linearly related to the fractal dimension of the sea surface. Moreover, such a relationship is independent of transmitted frequency, polarization, time, space, sea wave propagation ...
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