Event submissions
Published
This submission belongs to the session S5. Atmospheric Techniques, Instruments and Modeling of the event The 7th International Electronic Conference on Atmospheric Sciences
Published date
30 May, 2025
Academic Editor
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Riccardo BuccolieriCitation
Alexander Uzhinskiy, Advances in Remote Sensing and Machine Learning Techniques for Air Quality Monitoring, in Proceedings of The 7th International Electronic Conference on Atmospheric Sciences, 4 June–6 June 2025, MDPI: Basel, Switzerland
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Advances in Remote Sensing and Machine Learning Techniques for Air Quality Monitoring
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Alexander Uzhinskiy 1
1. Meshcheryakov Laboratory of Information Technologies, Joint Institute for Nuclear Research, Dubna, 6 Joliot-Curie, 141980, Russia
Abstract
Keywords
air quality
satellite imagery
machine learning
environmental monitoring