IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. 1998
DOI: 10.1109/igarss.1998.702874
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Overview of the Conical Microwave Imager/Sounder development for the NPOESS program

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Cited by 11 publications
(4 citation statements)
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“…First, it is widely accepted that the ocean surface spectrum should vary as for large values of ; it is advantageous to remove this dependency through use of the ocean curvature spectrum, defined as Next it is noted that the functions have a dependence on frequency which can be factored out by defining (8) with the resulting functions depending on frequency only through Using these ideas and re-writing the second order change in brightnesses from a flat surface ( ) in terms of yields (9) where (10) (11) and the new functions have no explicit dependence on frequency. Note that the above equation shows that the effect of changes in frequency is simply to modify i.e., to modify the ocean length scale which is weighted by a particular value of assuming that remains constant with changes in frequency.…”
Section: Simplification Of Spm/ssamentioning
confidence: 99%
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“…First, it is widely accepted that the ocean surface spectrum should vary as for large values of ; it is advantageous to remove this dependency through use of the ocean curvature spectrum, defined as Next it is noted that the functions have a dependence on frequency which can be factored out by defining (8) with the resulting functions depending on frequency only through Using these ideas and re-writing the second order change in brightnesses from a flat surface ( ) in terms of yields (9) where (10) (11) and the new functions have no explicit dependence on frequency. Note that the above equation shows that the effect of changes in frequency is simply to modify i.e., to modify the ocean length scale which is weighted by a particular value of assuming that remains constant with changes in frequency.…”
Section: Simplification Of Spm/ssamentioning
confidence: 99%
“…The success of these studies has resulted in plans for a polarimetric radiometer to be included in the NPOESS series of satellites [8]. Analytical and numerical models for the calculation of ocean surface polarimetric thermal emission have also been developed [9]- [13], primarily through application of standard surface scattering approximate methods to calculate surface emissivity using Kirchhoff's law.…”
Section: Introductionmentioning
confidence: 99%
“…Five instruments are considered in this example, namely: a) an L-band polarimetric radiometer that we call LRADIO, based on the design of NASA's SMAP mission (Entekhabi, 2010); b) an L-band synthetic aperture radar (LSAR), also based on an instrument on the SMAP mission (Entekhabi, 2010); c) an X-band polarimetric radiometer (XRADIO), based on NPOESS/CMIS (Gasster & Flaming, 1998); d) an infrared multispectral radiometer (IR) based on NPOESS/VIIRS (Welsch & Swenson, 2001); e) a hypothetical P-band polarimetric synthetic aperture radar (PSAR), such as the one proposed for BIOMASS (Heliere et al, 2009). The characteristics (mass, power, data rate, performance) that we assumed for these instruments are provided in the Appendix.…”
Section: Instrument Descriptionmentioning
confidence: 99%
“…Models for predicting rough surface brightness temperatures are critical for interpreting measurements from ground, air, or space based radiometric systems. Rough surface effects are particularly important in observations of the sea, and remote sensing of sea wind speed and direction is directly related to emission properties of the sea rough surface [24][25][26][27][28][29]. Rough surface effects are also important in remote sensing of soil moisture and sea ice properties.…”
mentioning
confidence: 99%