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SAR Hs PREDICTOR

Total Hs (Significant Wave Height) predictor for Sentinel-1 WV OCN product.

Python library based on tensorflow-keras to predict altimeter-like significant wave height from radar and cross-spectra derived parameters present in the osw component of OCN WV product generated by ESA.

Installation

pip install -r requirement.txt
pip install .

Configuration [optional]

if one want to test other keras models, a localconfig.yaml can be created to superseed the default config.yaml file.

Performances of trained models

The figures below are generated using the test datasets.

Period after WV2 Elevation Antenna Pattern update ( 26 June 2021 - March 2024)

scatter after

table after

scatter hs STD after

Period before WV2 Elevation Antenna Pattern update ( 27 June 2019 - 25 June 2021)

scatter before

table before

scatter hs STD before

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