A new wind vector algorithm for C-band SAR

• Published in: IEEE Transactions on Geoscience and Remote Sensing
• Main Authors: He, YJ, Perrie, W, Zou, QP, Vachon, PW
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2005
• Subjects: Retrieval; Synthetic Aperture Radar (Sar); Wind Vector; Geochemistry & Geophysics; Engineering; Electrical & Electronic; Remote Sensing; North Atlantic
• Online Access: http://ir.qdio.ac.cn/handle/337002/2443; https://doi.org/10.1109/TGRS.2005.848411

Ocean wind speed and wind direction are estimated simultaneously using the normalized radar cross sections or' corresponding to two neighboring (25-km) blocks, within a given synthetic aperture radar (SAR) image, having slightly different incidence angles. This method is motivated by the methodology used for scatterometer data. The wind direction ambiguity is removed by using the direction closest to that given by a buoy or some other source of information. We demonstrate this method with 11 EN-VISAT Advanced SAR sensor images of the Gulf of Mexico and coastal waters of the North Atlantic. Estimated wind vectors are compared with wind measurements from buoys and scatterometer data. We show that this method can surpass other methods in some cases, even those with insufficient visible wind-induced streaks in the SAR images, to extract wind vectors. Ocean wind speed and wind direction are estimated simultaneously using the normalized radar cross sections or' corresponding to two neighboring (25-km) blocks, within a given synthetic aperture radar (SAR) image, having slightly different incidence angles. This method is motivated by the methodology used for scatterometer data. The wind direction ambiguity is removed by using the direction closest to that given by a buoy or some other source of information. We demonstrate this method with 11 EN-VISAT Advanced SAR sensor images of the Gulf of Mexico and coastal waters of the North Atlantic. Estimated wind vectors are compared with wind measurements from buoys and scatterometer data. We show that this method can surpass other methods in some cases, even those with insufficient visible wind-induced streaks in the SAR images, to extract wind vectors.