This dataset captures the environmental dynamics of the Black Sea and Danube Delta and aims to monitor wind fields and sea currents. Land regions captured in the images serve as a source of reference data for correcting non-geophysical Doppler shift. It serves to the development and demonstration of algorithms to extract information about the physical parameters. This dataset will be used for the implementation of use cases supporting the digital twin of the Black Sea coast. The dataset contains SAR intensity images (VV polarization), wind fields and sea current maps and is based on Sentinel-1A SLC images acquired between August and September 2023. The Sentinel-1A images are downloaded directly from the Copernicus browser. The wind field is estimated in ESA SNAP using GRD SAR images with the classical method presented in [1,2]. Sea wind generates a rough texture in the intensity SAR images that generally follow the wind's direction. Consequently, the radar backscatter from this textured surface is linked to both wind speed and direction (the estimated direction has a 180° ambiguity). The wind field shows the speed and direction of the wind vectors (heading relative to geographic North) with a resolution of 10 km. The sea current maps are generated as follows. The input SLC image is first processed in ESA SNAP by applying a “deramping and demodulation” procedure. Then the Doppler Centroid images are obtained using a fast correlation-based Doppler estimator applied on a two-dimensional sliding window. The final step is to convert Doppler Centroid values to radial surface velocity. A detailed description of the procedure is provided in [3].

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