Retrievals of Biomass Burning Aerosol and Liquid Cloud Properties from Polarimetric Observations Using Deep Learning Techniques

Retrievals of Biomass Burning Aerosol and Liquid Cloud Properties from Polarimetric Observations Using Deep Learning Techniques

Biomass burning (BB) aerosols are the largest source of absorbing aerosols on Earth. Coupled with marine stratocumulus clouds (MSC), their radiative effects are enhanced and can cause cloud property changes (first indirect effect) or cloud burn-off and warm up the atmospheric column (semi-direct eff...

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Bibliographic Details
Main Authors: Michal Segal Rozenhaimer, Kirk Knobelspiesse, Daniel Miller, Dmitry Batenkov
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Remote Sensing
Subjects:
biomass burning aerosol
convolutional neural networks
vision transformers
polarimetry
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Online Access:https://www.mdpi.com/2072-4292/17/10/1693
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