Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering

Automated Aerosol Classification from Spectral UV Measurements Using Machine Learning Clustering

In this study, we present an aerosol classification technique based on measurements of a double monochromator Brewer spectrophotometer during the period 1998−2017 in Thessaloniki, Greece. A machine learning clustering procedure was applied based on the Mahalanobis distance metric. The clas...

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Bibliographic Details
Main Authors: Nikolaos Siomos, Ilias Fountoulakis, Athanasios Natsis, Theano Drosoglou, Alkiviadis Bais
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Remote Sensing
Subjects:
aerosol classification
clustering
machine learning
spectrophotometer
sunphotometer
Online Access:https://www.mdpi.com/2072-4292/12/6/965

Internet

https://www.mdpi.com/2072-4292/12/6/965

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