Articles | Volume 12, issue 11
Atmos. Meas. Tech., 12, 6017–6036, 2019
https://doi.org/10.5194/amt-12-6017-2019
Atmos. Meas. Tech., 12, 6017–6036, 2019
https://doi.org/10.5194/amt-12-6017-2019
Research article
20 Nov 2019
Research article | 20 Nov 2019

Neural network for aerosol retrieval from hyperspectral imagery

Steffen Mauceri et al.

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Latest update: 28 Sep 2022
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Short summary
Aerosols are fine particles that are suspended in Earth’s atmosphere. A better understanding of aerosols is important to lower uncertainties in climate predictions. We propose measuring aerosols from satellites and airplanes equipped with hyperspectral cameras using an artificial neural network, a form of machine learning. We applied our neural network to hyperspectral observations from a recent airplane flight over India and find general agreement with independent aerosol measurements.