In this study, wind speed is estimated from COSMO-SkyMed (CSK) Synthetic Aperture Radar (SAR) imagery using two approaches, which both exploit the X-band Geophysical Model Function (GMF) XMOD2 developed for the German TerraSAR-X SAR mission. The first approach uses external wind direction information provided by collocated ASCAT scatterometer measurements; the second one incorporates wind direction derived from the SAR scene using the Continuous Wavelet Transform (CWT). Experimental results, obtained using a relatively small collocated CSK data set, show the robustness of the wind estimation from the CSK imagery that result in accurate enough estimates under a range of incidence angles that span between 30 and 50. The CWT approach allows reliable wind estimates on a 1km spatial grid.

Sea Surface Wind Estimation Using COSMO-SkyMed SAR Imagery

Zecchetto S.;Grieco G.
2022

Abstract

In this study, wind speed is estimated from COSMO-SkyMed (CSK) Synthetic Aperture Radar (SAR) imagery using two approaches, which both exploit the X-band Geophysical Model Function (GMF) XMOD2 developed for the German TerraSAR-X SAR mission. The first approach uses external wind direction information provided by collocated ASCAT scatterometer measurements; the second one incorporates wind direction derived from the SAR scene using the Continuous Wavelet Transform (CWT). Experimental results, obtained using a relatively small collocated CSK data set, show the robustness of the wind estimation from the CSK imagery that result in accurate enough estimates under a range of incidence angles that span between 30 and 50. The CWT approach allows reliable wind estimates on a 1km spatial grid.
2022
Istituto di Scienze Marine - ISMAR - Sede Secondaria Napoli
978-1-6654-9942-2
CWT
GMF
SAR
Sea wind
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/467362
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