Remote Sensing of Sediment Discharge in Rivers Using Sentinel-2 Images and Machine-Learning Algorithms

The spatio-temporal dynamism of sediment discharge (<i>Q_s</i>) in rivers is influenced by various natural and anthropogenic factors. Unfortunately, most rivers are only monitored at a limited number of stations or not gauged at all. Therefore, this study aims to provide a remote-sensing-b...

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Autors principals:	Ahmed Mohsen, Ferenc Kovács, Tímea Kiss
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-05-01
Col·lecció:	Hydrology
Matèries:	suspended sediment rating curve at-many-stations hydraulic geometry (AMHG) genetic algorithm artificial neural network
Accés en línia:	https://www.mdpi.com/2306-5338/9/5/88
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