Title :
On the polarization-dependent signatures of atmospheric and oceanic features in radar images of the ocean surface
Author :
Romeiser, Roland
Author_Institution :
Inst. of Oceanogr., Hamburg Univ., Germany
Abstract :
Multi-polarization radar images of the ocean surface from various experimental campaigns suggest that the backscattered signal is more sensitive to wind field variations at vertical (VV) than at horizontal (HH) polarization. On the other hand, radar signatures of oceanic features like internal waves or underwater bottom topography are often better visible at HH. In this paper, a possible theoretical explanation for these phenomena is discussed. It is shown that polarization-dependent radar signatures are qualitatively consistent with predictions of a composite surface scattering model, where the ratio between modulation depths at HH and VV is determined by the intensity variations of ocean waves in different wave-number ranges. Using a simple scenario of wind and current variations, it is demonstrated that a pair of radar images with dominant oceanic and atmospheric signatures at HH and VV, respectively, can be basically obtained from the model
Keywords :
atmospheric boundary layer; atmospheric techniques; bathymetry; electromagnetic wave scattering; geophysical techniques; meteorological radar; oceanographic techniques; radar cross-sections; radar polarimetry; radar theory; remote sensing by radar; atmosphere; backscatter; bathymetry; geophysical measurement technique; marine boundary layer; meteorology; multipolarization radar image; n radar image; oceanic features; polarization-dependent signature; radar imaging; radar polarimetry; radar remote sensing; radar scattering; sea surface; seafloor topography; underwater bottom topography; Atmospheric modeling; Atmospheric waves; Oceans; Polarization; Radar imaging; Radar scattering; Radar theory; Sea surface; Surface topography; Surface waves;
Conference_Titel :
Geoscience and Remote Sensing, 1997. IGARSS '97. Remote Sensing - A Scientific Vision for Sustainable Development., 1997 IEEE International
Print_ISBN :
0-7803-3836-7
DOI :
10.1109/IGARSS.1997.606437