Retrieval of Case 2 Water Quality Parameters with Machine Learning

Water quality parameters are derived applying several machine learning regression methods on the Case2eXtreme dataset (C2X). The used data are based on Hydrolight in-water radiative transfer simulations at Sentinel-3 OLCI wavebands, and the application is done exclusively for absorbing waters with h...

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Veröffentlicht in:	arXiv.org 2020-12
Hauptverfasser:	Ruescas, Ana B, Mateo-Garcia, Gonzalo, Camps-Valls, Gustau, Hieronymi, Martin
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science - Learning Datasets Dissolved organic matter Gaussian process Machine learning Neural networks Parameters Physics - Data Analysis, Statistics and Probability Physics - Geophysics Radiative transfer Water quality
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