Articles | Volume 7, issue 1
https://doi.org/10.5194/gi-7-113-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.A comparative study of auroral morphology distribution between the Northern and Southern Hemisphere based on automatic classification
Related authors
Related subject area
Image processing
Auroral alert version 1.0: two-step automatic detection of sudden aurora intensification from all-sky JPEG images
Automatic detection of calving events from time-lapse imagery at Tunabreen, Svalbard
Integration of remote sensing and geographic information systems for geological fault detection on the island of Crete, Greece
Consideration of NDVI thematic changes in density analysis and floristic composition of Wadi Yalamlam, Saudi Arabia
Precise DEM extraction from Svalbard using 1936 high oblique imagery
Geosci. Instrum. Method. Data Syst., 12, 71–90,
2023Geosci. Instrum. Method. Data Syst., 8, 113–127,
2019Geosci. Instrum. Method. Data Syst., 8, 45–54,
2019Geosci. Instrum. Method. Data Syst., 7, 297–306,
2018Geosci. Instrum. Method. Data Syst., 7, 277–288,
2018Cited articles
Akasofu, S. I. and Kan, J. R.: Dayside and nightside auroral arc systems, Geophys.
Res. Lett., 7, 753–756, 1980.
Chaston, C. C., Carlson, C. W., McFadden, J. P., Ergun, R. E., and Strangeway, R. J.: How
important are dispersive Alfvén waves for auroral particle
acceleration?, Geophys. Res. Lett., 34, L07101, https://doi.org/10.1029/2006GL029144, 2007.
Ebihara, Y., Tanaka, Y.-M., Takasaki, S., Weatherwax, A. T., and Taguchi, M.:
Quasi-stationary auroral patches observed at the South Pole Station, J.
Geophys. Res., 112, A01201, https://doi.org/10.1029/2006JA012087, 2007.
Han, D. S., Chen, X., Liu, J., Qiu, Q., Keika, K., Hu, Z. J., Liu, J. M., Hu, H. Q., and Yang, H. G.:
An extensive survey of dayside diffuse aurora based on optical observations
at Yellow River Station, J. Geophys. Res.-Space Phys., 120, 7447–7465,
2015.
Han, D. S., Nishimura, Y., Lyons, L. R., Hu, H. Q., and Yang, H. G.: Throat aurora: The
ionospheric signature of magnetosheath particles penetrating into the
magnetosphere, Geophys. Res. Lett., 43, 1819–1827, https://doi.org/10.1002/2016GL068181, 2016.