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Communication dans un congrès

Study of Wind Speed Retrievals From Sentinel-1 Images Using Physical Models

Tran Vu La 1, 2 Ali Khenchaf 1, 2 Fabrice Comblet 1, 2 Carole Nahum 3
1 Lab-STICC_ENSTAB_MOM_PIM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance
2 Pôle STIC_REMS
ENSTA Bretagne - École Nationale Supérieure de Techniques Avancées Bretagne
Abstract : Sea surface wind plays an important role for many applications such as meteorological forecasting, oil slick observation and ship detection. From the Sentinel-1 SAR images, we propose in this paper the methods which permit to retrieve rapidly wind fields. Wind directions can be directly extracted from the SAR images by the Local Gradient method with high resolution. Wind speed is estimated by the physical (SPM) and empirical (CMOD.5) models. Compared to the empirical models, the physical ones can give the estimations of wind speed in different frequencies and for both co-polarizations. They are thus more general and more interesting. Surface wave roughness spectrum is the most important parameter in the physical models to retrieve accurately wind speed. We study two approaches in this paper: semi-empirical model proposed by Elfouhaily and al., and empirical model studied by Hwang. To evaluate, the wind speed estimated by the SPM with two models of wave spectrum and the CMOD.5 is compared for the different cases of incident angle.
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https://hal.archives-ouvertes.fr/hal-01653344
Contributeur : Annick Billon-Coat <>
Soumis le : vendredi 1 décembre 2017 - 12:40:12
Dernière modification le : mercredi 24 juin 2020 - 16:19:51

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Tran Vu La, Ali Khenchaf, Fabrice Comblet, Carole Nahum. Study of Wind Speed Retrievals From Sentinel-1 Images Using Physical Models. EUCAP 2016, Apr 2016, Davos, Switzerland. ⟨10.1109/EuCAP.2016.7481445⟩. ⟨hal-01653344⟩

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