Multiparametric sea state fields from synthetic aperture radar for maritime situational awareness

This paper introduces a method for estimating a series of sea state parameters from satellite-borne synthetic aperture radar (SAR). The method was realized in a near real time (NRT) application which allows for the processing of data from different satellites and modes. The algorithm estimates the t...

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Veröffentlicht in:	Remote sensing of environment 2022-10, Vol.280, p.113200, Article 113200
Hauptverfasser:	Pleskachevsky, Andrey, Tings, Björn, Wiehle, Stefan, Imber, James, Jacobsen, Sven
Format:	Artikel
Sprache:	eng
Schlagworte:	Climate change initiative CCI environment interferometry Machine learning Near real time services NRT regression analysis SAR Sea state parameters Sea state processor SSP Sentinel-1 support vector machines synthetic aperture radar TerraSAR-X Wave height Wave period wind
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