In this paper, preliminary results obtained within the framework of the Italian Space Agency-funded APPLICAVEMARS project are presented. The project aims at estimating sea surface wind field from L-, C-and X-band Synthetic Aperture Radar (SAR) imagery. In particular, the key element is the adaptation/improvement of geophysical model functions to transform the microwave reflectivity map into an added-value product, i.e., a wind map characterized by a spatial resolution much finer than the one obtainable from scatterometer measurements. First experimental results related to C-band Sentinel-1 SAR imagery are presented.
Ocean wind field estimation using multi-frequency SAR imagery / Nunziata, F.; Migliaccio, M.; Buono, A.; Ferrentino, E.; Alparone, M.; Zecchetto, S.; Zanchetta, A.; Portabella, M.; Grieco, G.. - 2022:(2022), pp. 5184-5187. (Intervento presentato al convegno 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 tenutosi a Kuala Lumpur; Malaysia) [10.1109/IGARSS46834.2022.9884018].
Ocean wind field estimation using multi-frequency SAR imagery
Nunziata F.;Migliaccio M.;
2022
Abstract
In this paper, preliminary results obtained within the framework of the Italian Space Agency-funded APPLICAVEMARS project are presented. The project aims at estimating sea surface wind field from L-, C-and X-band Synthetic Aperture Radar (SAR) imagery. In particular, the key element is the adaptation/improvement of geophysical model functions to transform the microwave reflectivity map into an added-value product, i.e., a wind map characterized by a spatial resolution much finer than the one obtainable from scatterometer measurements. First experimental results related to C-band Sentinel-1 SAR imagery are presented.| File | Dimensione | Formato | |
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