Aerosol Optical Properties and Type Retrieval via Machine Learning and an All-Sky Imager

This study investigates the applicability of using the sky information from an all-sky imager (ASI) to retrieve aerosol optical properties and type. Sky information from the ASI, in terms of Red-Green-Blue (RGB) channels and sun saturation area, are imported into a supervised machine learning algori...

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Autors principals:	Stavros-Andreas Logothetis, Christos-Panagiotis Giannaklis, Vasileios Salamalikis, Panagiotis Tzoumanikas, Panagiotis-Ioannis Raptis, Vassilis Amiridis, Kostas Eleftheratos, Andreas Kazantzidis
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2023-08-01
Col·lecció:	Atmosphere
Matèries:	all-sky imager aerosol properties AERONET machine learning aerosol type classification
Accés en línia:	https://www.mdpi.com/2073-4433/14/8/1266
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