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

机译:高分辨率海上风力资源映射的卫星数据:数据融合方法

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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.
机译:风能资源映射需要精确的高时空分辨率测风。在海上,卫星数据是准确的,经济的方式来访问测风。以往的研究表明一些遥感仪器的能力来衡量的风。合成孔径雷达(SAR)具有高的空间分辨率,但被关联到低时间重复性,防止资源评估可靠性由于小数量的样本。散射对评估的可靠性足够的时间重复性,但有一个空间分辨率低(25公里)。在本文中,我们应用数据融合的方法将这些不同的数据集。的散射和SAR数据集的结果在具有SAR测量的空间分辨率高和散射仪测量的时间重复性的合成数据集融合。该合成数据组,具有高空间分辨率,可以使用在具有高空间分辨率,以评估该资源。它符合wind统计的计算的要求。

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