Annales Geophysicae
Annales Geophysicae
ANGEO
Articles | Volume 35, issue 4
Articles | Volume 35, issue 4
https://doi.org/10.5194/angeo-35-777-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/angeo-35-777-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 35, issue 4
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

Viewed

Total article views: 1,722 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,101 554 67 1,722 61 63
  • HTML: 1,101
  • PDF: 554
  • XML: 67
  • Total: 1,722
  • BibTeX: 61
  • EndNote: 63
Views and downloads (calculated since 03 Jul 2017)
Cumulative views and downloads (calculated since 03 Jul 2017)

Cited

Latest update: 24 Apr 2024
Download
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.
Read more