Wind vector retrieval from ERS-1 synthetic aperture radar data

Christopher Wackerman; Clifford Rufenach; Robert A. Shuchman; Johnny Andre Johannessen

doi:10.1117/12.197282

21 December 1994 Wind vector retrieval from ERS-1 synthetic aperture radar data

Christopher Wackerman, Clifford Rufenach, Robert A. Shuchman, Johnny Andre Johannessen

Proceedings Volume 2319, Oceanic Remote Sensing and Sea Ice Monitoring; (1994) https://doi.org/10.1117/12.197282
Event: Satellite Remote Sensing, 1994, Rome, Italy

Abstract

There is currently a need for high resolution (one to ten kilometers) vector wind information in a number of oceanographic research areas. Unfortunately, existing systems that are used for extracting wind vectors can not provide such high resolution. Synthetic Aperture Radar (SAR) systems however can provide very fine resolutions (approximately equals 20 meters) and with the advent of new wide swath SAR systems such as Radarsat and ASAR can provide adequate coverage over many regions. In this paper we present an algorithm for extracting wind vector information from SAR data collected by the ERS-1 satellite and show its application to data collected during the Norwegian Continental Shelf Experiment in 1991. The algorithm estimates wind direction by examining the very low frequency clutter in the imagery caused by such phenomena as wind rows and convection cells. The wind speed is then estimated by first calculating the radar cross section of the ocean surface and then determining which wind speed is consistent with the measured wind direction and radar cross section values using existing models. Three models will be examined (CMOD4, IFREMER and a model by Wismann) and compared to the SAR data to determine their applicability, and the resulting accuracy for the estimated wind vectors will be presented.

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Christopher Wackerman, Clifford Rufenach, Robert A. Shuchman, and Johnny Andre Johannessen "Wind vector retrieval from ERS-1 synthetic aperture radar data", Proc. SPIE 2319, Oceanic Remote Sensing and Sea Ice Monitoring, (21 December 1994); https://doi.org/10.1117/12.197282

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KEYWORDS

Synthetic aperture radar

Radar

Wind measurement

Error analysis

Data modeling

Spatial resolution

Knowledge management

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