Title :
Quantitative analysis of radar signatures of underwater bottom topography according to a Bragg-based composite surface model
Author :
Romeiser, Roland
Author_Institution :
Inst. of Oceanogr., Hamburg Univ., Germany
Abstract :
The authors have recently developed a calibrated composite surface model for the calculation of normalized radar backscattering cross sections (NRCS) of the ocean surface. Using an optimized parameterization of the wave height spectrum, the measured dependence of the mean NRCS on radar parameters and on the wind speed vector is reproduced quite well. In this paper the sensitivity of the NRCS to intensity variations of different wave spectral components is analyzed, and theoretical radar signatures associated with spatial surface roughness variations over underwater bottom topography in tidal waters are investigated. The composite surface model yields comparable radar signatures at high (10 GHz, X-band) and low (1 GHz, L-band) radar frequencies. However, measured NRCS variations at high radar frequencies appear to be still underestimated in some cases. Possible reasons and further improvements of the theory are discussed
Keywords :
backscatter; bathymetry; electromagnetic wave scattering; geophysical techniques; oceanographic techniques; radar cross-sections; remote sensing by radar; seafloor phenomena; 1 GHz; 10 GHz; Bragg-based composite surface model; L-band; NRCS; SHF; UHF; X-band; coastal bathymetry; geophysical measurement technique; meteorological factor; normalized radar backscattering cross section; ocean wave height spectrum; optimized parameterization; quantitative analysis; radar remote sensing; radar signature; roughness variation; sea surface radar scattering; seafloor topography; tidal waters; underwater bottom topography; wind speed vector; Backscatter; Frequency; Oceans; Radar cross section; Radar measurements; Rough surfaces; Sea measurements; Sea surface; Surface roughness; Surface topography;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International
Conference_Location :
Lincoln, NE
Print_ISBN :
0-7803-3068-4
DOI :
10.1109/IGARSS.1996.516856