Articles | Volume 35, issue 4
https://doi.org/10.5194/angeo-35-777-2017
https://doi.org/10.5194/angeo-35-777-2017
Regular paper
 | 
03 Jul 2017
Regular paper |  | 03 Jul 2017

Tracking patchy pulsating aurora through all-sky images

Eric Grono, Eric Donovan, and Kyle R. Murphy

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Short summary
The spatial and temporal evolution of the aurora provides information about plasma dynamics throughout the magnetosphere. The THEMIS all-sky imager network has been operating for over 10 years and has accumulated millions of auroral images. To speed the extraction of information from this dataset, it is desirable to implement automated algorithms to track and classify the aurora. This paper demonstrates an automatic method of extracting the motion of the aurora from sequences of images.