A novel significant wave height estimation method combining synthetic aperture radar observations with ERA5 reanalysis data

Due to the scarcity of high-quality training data and the limitations of traditional feature extraction methods, significant challenges exist in applying machine learning approaches to marine significant wave height (SWH) inversion using synthetic aperture radar (SAR). To this end, this paper propos...

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Autors principals:	Han Liu, Biao Meng, Xinqiong Liu, Qinghe Zhang, Lin Zhang, Yu Zhang
Format:	Artigo
Idioma:	Inglês
Publicat:	Taylor & Francis Group 2026-12-01
Col·lecció:	European Journal of Remote Sensing
Matèries:	Synthetic aperture radar (SAR) significant wave height (SWH) deep learning remote sensing ERA5 ocean wave
Accés en línia:	https://www.tandfonline.com/doi/10.1080/22797254.2026.2706003
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