Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 12, issue 11
Articles | Volume 12, issue 11
https://doi.org/10.5194/amt-12-6017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-12-6017-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 12, issue 11
Research article
 | 
20 Nov 2019
Research article |  | 20 Nov 2019

Neural network for aerosol retrieval from hyperspectral imagery

Steffen Mauceri, Bruce Kindel, Steven Massie, and Peter Pilewskie

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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.
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