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 / Nunziata, F.; Migliaccio, M.; Buono, A.; Ferrentino, E.; Alparone, M.; Zecchetto, S.; Zanchetta, A.; Portabella, M.; Grieco, G.. - (2022), pp. 378-382. ( 2022 IEEE International Workshop on Metrology for the Sea; Learning to Measure Sea Health Parameters, MetroSea 2022 Milazzo; Italy ) [10.1109/MetroSea55331.2022.9950880].
Sea surface wind estimation using COSMO-SkyMed SAR imagery
Nunziata F.;Migliaccio M.;
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.| File | Dimensione | Formato | |
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