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Satellite data for high resolution offshore wind resource mapping: A data fusion approach

Abstract : Wind resource mapping needs accurate high spatial and temporal resolutions wind measurements. Offshore, satellite data are an accurate and economic way to access wind measurements. Previous studies showed the capabilities of some remote sensing instruments to measure the wind. Synthetic aperture radars (SAR) have a high spatial resolution but are associated to a low temporal repetitiveness, preventing resource assessment reliability due to the small number of samples. Scatterometers have a sufficient temporal repetitiveness for assessment reliability but have a low spatial resolution (25 km). In this paper we apply a data fusion method to these different datasets. The fusion of scatterometer and SAR data sets results on a synthetic data set having the high spatial resolution of SAR measurements and the temporal repetitiveness of scatterometer measurements. This synthetic data set, having high spatial resolution, can be used to assess the resource at a high spatial resolution. It meets the requirements of the computation of wind statistics.
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Submitted on : Tuesday, June 8, 2010 - 3:07:16 PM
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  • HAL Id : hal-00490276, version 1


Mohamed Bassam Ben Ticha, Thierry Ranchin, Abderrahim Bentamy. Satellite data for high resolution offshore wind resource mapping: A data fusion approach. ISRSE 33, May 2009, Stresa, Italy. 4 p. ⟨hal-00490276⟩



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