Spatial Variations of Ocean Wave Spectra in Coastal Regions from RADARSAT and ERS Synthetic Aperture Radar Images

2000 ◽  
Author(s):  
F J Ocampo-Torres
Keyword(s):  
Synthetic Aperture Radar ◽  
Spatial Variations ◽  
Ocean Wave ◽  
Synthetic Aperture ◽  
Wave Spectra ◽  
Coastal Regions ◽  
Radar Images ◽  
Aperture Radar

Remote sensing of ocean wave spectra by interferometric synthetic aperture radar

Nature ◽  
1990 ◽  
Vol 345 (6278) ◽  
pp. 793-795 ◽  
Author(s):  
M. Marom ◽  
R. M. Goldstein ◽  
E. B. Thornton ◽  
L. Shemer
Keyword(s):  
Remote Sensing ◽  
Synthetic Aperture Radar ◽  
Ocean Wave ◽  
Synthetic Aperture ◽  
Interferometric Synthetic Aperture Radar ◽  
Wave Spectra ◽  
Aperture Radar

High Resolution Wind Fields Retrieved From Spaceborne Synthetic Aperture Radar Images in Comparison to Numerical Models

2002 ◽  
Author(s):  
Jochen Horstmann ◽  
Wolfgang Koch ◽  
Susanne Lehner
Keyword(s):  
High Resolution ◽  
Wind Speed ◽  
Synthetic Aperture Radar ◽  
Wind Direction ◽  
Numerical Models ◽  
Synthetic Aperture ◽  
Wind Fields ◽  
Coastal Regions ◽  
Radar Images ◽  
Aperture Radar

This paper introduces a recently developed algorithm to retrieve high-resolution wind fields over the ocean surface from spaceborne synthetic aperture radar (SAR) data. The algorithm consists of two parts, the first for determining wind direction and the second for wind speed retrieval. Wind directions are extracted from wind induced streaks e.g. from boundary layer rolls, Langmuir cells, or wind shadowing, which are approximately in line with the mean wind direction. Wind speed is derived from the normalized radar cross section (NRCS) and image geometry of the SAR image, together with the local retrieved wind direction. The application of SAR-wind retrieval in coastal regions is demonstrated using data acquired aboard the European satellites ERS-1 and ERS-2 and the Canadian satellite RADARSAT-1. These data allow to measure wind fields of an area of up to 500 km × 500 km with a resolution of up to 200 m. To improve and validate the set-up of numerical high-resolution models in coastal regions SAR-retrieved wind fields offer an unique opportunity. This is shown by comparisons of wind fields measured by SAR to results of the numerical model REMO, HIRLAM and GESIMA.

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