Articles | Volume 14, issue 10
https://doi.org/10.5194/amt-14-6851-2021
https://doi.org/10.5194/amt-14-6851-2021
Research article
 | 
25 Oct 2021
Research article |  | 25 Oct 2021

Reconstruction of the mass and geometry of snowfall particles from multi-angle snowflake camera (MASC) images

Jussi Leinonen, Jacopo Grazioli, and Alexis Berne

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Latest update: 28 Feb 2024
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Short summary
Measuring the shape, size and mass of a large number of snowflakes is a challenging task; it is hard to achieve in an automatic and instrumented manner. We present a method to retrieve these properties of individual snowflakes using as input a triplet of images/pictures automatically collected by a multi-angle snowflake camera (MASC) instrument. Our method, based on machine learning, is trained on artificially generated snowflakes and evaluated on 3D-printed snowflake replicas.